How many testing skills are there?

We list 1932 AI agent skills related to testing.

Testing Agent Skills

There are 1932 agent skills in our directory.

Agent skills related to testing. We catalog 1932 skills that mention testing in their name or description.

Updated June 2026

3-verify-pr-fixCheck out a candidate PR locally, restart the MCP server on the PR branch, re-run the exact same MCP tool call that failed in /2-repro-issue, diff the outputs, and audit the fix for locale-independence, DOM-stability, and scope per CLAUDE.md scraping rules. Use when the user says "verify PR #N", "does this PR fix #M", "check #N locally", "test the fix in #N", or asks whether a candidate PR actually solves a previously-reproduced issue. Assumes /2-repro-issue has already captured the on-main baseline at /tmp/repro-issue-<linked>-main.json — if not, run /2-repro-issue first.
316-frameworks-spring-mongodb-migrations-mongockUse when you need to add or review Mongock MongoDB data migrations in a Spring Boot application — including Maven coordinates, Spring Data MongoDB drivers, migration scan packages, @ChangeUnit classes, lock/transaction settings, and Testcontainers verification. This should trigger for requests such as Add Mongock migrations in Spring Boot; Review Spring MongoDB data migrations; Configure Mongock change units for Spring Data MongoDB. Part of cursor-rules-java projectApache-2.0
512-frameworks-micronaut-dataUse when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as Review or implement Micronaut Data repositories and entities; Add transactions, pagination, or projections in Micronaut persistence layer. Part of cursor-rules-java projectApache-2.0
a-b-test-config-creator|MIT
aads-architectDesign architecture and contract changes for AADS-ULoRA with explicit module boundaries, compatibility strategy, and testable acceptance criteria. Use for interface, config-schema, data-flow, and cross-module redesign decisions before implementation.
ab-test-analysisAnalyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
ab-test-analyzer|MIT
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
ab-test-setupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
abaqus-dynamic-analysisComplete workflow for dynamic analysis. Use when user mentions impact, crash, drop test, transient, or time-varying response. Handles explicit and implicit dynamics.
abo-pr-writerDraft or update Audiobook Organizer PR descriptions with issue closure, summary, tests, docs/changelog status, and follow-up notes.
abstraction-concrete-examplesBuilds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. Bridges communication gaps, reveals hidden assumptions, and tests whether abstract ideas work in practice. Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps.
ac-expanderTurn vague Acceptance Criteria into measurable checks and test assertions
acc-create-domain-eventGenerates DDD Domain Events for PHP 8.5. Creates immutable event records with metadata, past-tense naming. Includes unit tests.
acc-create-entityGenerates DDD Entities for PHP 8.5. Creates identity-based objects with behavior, state transitions, and invariant protection. Includes unit tests.
acc-create-factoryGenerates DDD Factory for PHP 8.5. Creates factories for complex domain object instantiation with validation and encapsulated creation logic. Includes unit tests.
acc-create-rate-limiterGenerates Rate Limiter pattern for PHP 8.5. Creates request throttling with token bucket, sliding window, and fixed window algorithms. Includes unit tests.
accepting-storiesGuides product owner through systematic acceptance testing. Use when verifying acceptance criteria, checking story completion, or conducting final review before marking a story as done.
actStandard-tier development workflow. Orchestrates specialized agents (Groucho, Chico, Harpo, Zeppo, Gummo) through the implementation pipeline defined in CLAUDE.md. Use for multi-file features, new functionality, or any work requiring design, review, and testing gates.
active-directory-attacksProvide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
active-directory-attacksProvide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
active-directory-attacksProvide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
ad-angle-multiplierExpand a core idea into multiple distinct ad angles. Trigger on "more ads", "creative testing", "scale campaigns".MIT
ad-angle-multiplierExpand a core idea into multiple distinct ad angles. Trigger on "more ads", "creative testing", "scale campaigns".MIT
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.MIT
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.MIT
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.MIT
ad-creativeCreate, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
ad-creativeCreate, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
add_platform.implementCreates platform adapter, templates, tests with 100% coverage, and README documentation. Use after adding hook capabilities.
add-backend-testingAdd backend integration testing with Vitest to an existing app. Sets up isolated test database schema and writes tests for tRPC routers.
add-componentAdd a new Vue component to @indielayer/ui with themes, tests, docs, and registry exports. Use when creating a new component, adding X-prefixed components, or scaffolding under packages/ui/src/components.
add-featureImplement new feature with self-testing loop until 100% pass
add-torch-shapes-exampleUse when adding a new PyTorch model to Pyrefly's shape-tracking example corpus under tensor-shapes/pyrefly-torch-stubs/examples — i.e. importing a model as a tested, corpus-quality reference port. This is maintainer-facing fbsource work. For porting your own model elsewhere, use the porting skill directly; for fixing a wrong/missing shape rule, use modify-shaped-array-dsl.
adding-modelsGuide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.
admin-dashboard-qaUse this skill when implementing, modifying, or fixing the admin dashboard (admin-dashboard-v2). Triggers for tasks involving dashboard UI, components, pages, features, hooks, or API integration. Orchestrates a rigorous QA workflow with PM review, use case writing, testing, and bug fixing cycles.
ado-assign-testingDistribute reviewed work items to team members for testing
adobe-load-scaleImplement load testing, auto-scaling, and capacity planning for AdobeMIT
Advanced Clean Hexagonal ArchitectureApply Clean Architecture and Hexagonal (Ports & Adapters) patterns for domain isolation and testability. Use when designing system boundaries, creating ports/adapters, or structuring domain-driven applications.
Advanced Testability Ai ErgonomicDesign code for testability and AI/LLM ergonomics with explicit contracts and observable patterns. Use when optimizing code for AI tools, improving testability, or making codebases LLM-friendly.
Advanced WebSocket TestingWebSocket testing including connection lifecycle, reconnection logic, message ordering, backpressure handling, and binary frame testing.MIT
af-bdd-expertiseUse when transforming requirements into Markdown scenario specifications, writing BDD scenarios, enforcing glossary compliance, or designing comprehensive test coverage. Covers scenario structure, test type classification, and acceptance criteria patterns.
agent-browserBrowser automation CLI for UI testing, E2E tests, and page interaction. Invoke when user wants to test UI, click buttons, fill forms, or take screenshots.
agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agent-browserAutomates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agent-development-extMUST load together with `agent-development` in GBIG context. Adds универсальный формат агентов фреймворка (analyst, architect, developer, reviewer, tester, explorer), маппинг тиров моделей и 1С BSL-специфику.
agent-evaluationTesting and benchmarking LLM agents including behavioral testing,
agent-evaluationTesting and benchmarking LLM agents including behavioral testing,
agent-evaluationTesting and benchmarking LLM agents including behavioral testing,
agent-evaluationTesting and benchmarking LLM agents including behavioral testing,
agent-evaluationTesting and benchmarking LLM agents including behavioral testing,
agent-performance-engineerExpert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.
agent-risk-managerExpert risk manager specializing in comprehensive risk assessment, mitigation strategies, and compliance frameworks. Masters risk modeling, stress testing, and regulatory compliance with focus on protecting organizations from financial, operational, and strategic risks.
agent-skill-linterLint a codebase on code quality, best practices, design principles, build and test status, per-test speed (slow at or above 5s), cyclomatic complexity, and expressive naming, then render the results as a modern web report. Use when the user runs /lint or /lint-site, or asks to lint, score, or audit the quality of a project.
agent-trajectory-safety-risk-diagnosisUse this skill when a user wants evaluator data for judging whether an agent’s actions were safe or unsafe based on its interaction record with tools or environments. Trigger it when ordinary users say things like 'check if the agent did something dangerous', 'judge whether the action trail is risky', 'make safety-monitor data from agent logs', or 'find cases where the agent looked helpful but caused harm'. Plain-language examples include: 'evaluate whether the trajectory is safe', 'make judge data for risky tool use', 'analyze unsafe multi-step agent actions', and 'test if the evaluator can spot hidden safety problems in logs'.
agentic-kaggle-skillKaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
agentkitWorld AgentKit verification flow. Use when the user wants to test AgentKit access, verify a human-backed agent, or mentions agentkit_verify.
agentuity-cli-upgradeUpgrade the CLI to the latest versionApache-2.0
ai-codeWrites production code that satisfies stack-context standards on the first pass: interface-first design, backward-compatibility checks, lightweight self-review. Trigger for 'implement this', 'write the code for', 'add X to Y', 'build this function', 'make this work'. Not for tests; use /ai-test instead. Not for debugging; use /ai-debug instead. Not for refactoring; use /ai-simplify instead. Not for executing an approved plan end-to-end; use /ai-build (the gateway).
ai-mdConvert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
ai-prompt-engineering-safety-reviewComprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
ai-testing-framework|
ai-testing-framework|
aidlc-buildFinal integration build and test verification. Validates that implemented code compiles, passes all test suites, and meets quality gates before deployment.MIT
aikit-testingAIKit Playwright Component Testing conventions — helpersPlaywright.tsx, *.visual.spec.tsx, Docker-required test execution, one test per story, screenshots for portal-mounted dialogs. Use when creating or editing files under a component's __tests__/ directory.
AILANG Sprint ExecutorExecute approved sprint plans with test-driven development, continuous linting, progress tracking, and pause points. Use when user says "execute sprint", "start sprint", or wants to implement an approved sprint plan.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.MIT
airflow-dag-patternsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
ak:prCreate a Pull Request with description, test plan, and checklist. Use when the user says /pr, "create PR", or "open pull request". Reads real branch commits and diff.
alchemy-local-dev-loopSet up local Web3 development workflow with Alchemy, Hardhat, and testnets.MIT
aliyun-qwen-ocrUse when OCR-specialized extraction is needed with Alibaba Cloud Model Studio Qwen OCR models (`qwen-vl-ocr`, `qwen-vl-ocr-latest`, and snapshots), including document parsing, table parsing, multilingual OCR, formula recognition, and key information extraction.
allcll-testing테스트 작성·수정 요청 시 반드시 사용. 올클은 통합 테스트가 72%, 분류 시스템(🟢-A/🟢-B/🟡/🔴)으로 AI 작업 범위를 결정한다. 단위 테스트, 통합 테스트, WebMvcTest, AssertJ·@MockitoBean·Fixture 정적 import 컨벤션 적용. 테스트 관련 작업이면 코드 짜기 전에 이 스킬을 먼저 발동.
Allure Test ReportingAllure test reporting framework for comprehensive test result visualization
analyticsWhen the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions \"set up tracking,\" \"GA4,\" \"Google Analytics,\" \"conversion tracking,\" \"event tracking,\" \"UTM parameters,\" \"tag manager,\" \"GTM,\" \"analytics implementation,\" \"tracking plan,\" \"how do I measure this,\" \"track conversions,\" \"attribution,\" \"Mixpanel,\" \"Segment,\" \"are my events firing,\" or \"analytics isn't working.\" Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.
analyze-test-resultsAnalyze test failures and CI artifacts to identify and fix bugs
analyze-wastAnalyze WebAssembly test (WAST) files to debug compilation issues and create regression tests. Use when the user asks to debug or analyze WAST test failures, investigate compilation bugs in wasmoon, or when encountering test failures in spec/*.wast files. Triggers include "analyze wast", "debug wast", "wast bug", or references to specific .wast test files.
analyze-wastAnalyze WebAssembly test (WAST) files to debug compilation issues and create regression tests. Use when the user asks to debug or analyze WAST test failures, investigate compilation bugs in wasmoon, or when encountering test failures in spec/*.wast files. Triggers include "analyze wast", "debug wast", "wast bug", or references to specific .wast test files.
analyzing-test-coverageAnalyze code coverage metrics and identify untested code paths.MIT
andreessenMarc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is.MIT
andreessenMarc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is.MIT
andreessenMarc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is.MIT
android_ui_verificationAutomated end-to-end UI testing and verification on an Android Emulator using ADB.
android_ui_verificationAutomated end-to-end UI testing and verification on an Android Emulator using ADB.
android-ui-journey-testingXML-specified Android UI journey testing, interactive step execution, assertion verification, and JSON outcome reporting.
android-ui-journey-testingXML-specified Android UI journey testing, interactive step execution, assertion verification, and JSON outcome reporting.
android-webview-pentestAndroid WebView security assessment and exploitation. Use this skill whenever the user mentions WebView vulnerabilities, Android app pentesting, JavaScript bridges, deep-linking attacks, file access in WebViews, or needs to test WebView configurations. Trigger for any Android security testing involving WebView components, @JavascriptInterface exploitation, intent-based WebView attacks, or WebView remote debugging.
angular-toolingUse Angular CLI and development tools effectively in Angular v20+ projects. Use for project setup, code generation, building, testing, and configuration. Triggers on creating new projects, generating components/services/modules, configuring builds, running tests, or optimizing production builds.
anth-load-scaleImplement load testing, auto-scaling, and capacity planning for ClaudeMIT
anthropic-sdk-upgraderUse this agent when the user needs to upgrade Anthropic SDK packages. This includes: upgrading @anthropic-ai/sdk or @anthropic-ai/claude-agent-sdk to newer versions, migrating between SDK versions, resolving SDK-related dependency conflicts, updating SDK types and interfaces, or asking about SDK upgrade procedures. Examples: 'Upgrade the Anthropic SDK to the latest version', 'Help me migrate to the latest claude-agent-sdk', 'What's the process for upgrading Anthropic packages?
API TestingComprehensive API testing for REST and GraphQL endpoints with contract validation
api-design-principlesMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
api-design-principlesMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
api-design-principlesMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
api-design-principlesMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
api-design-principlesMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
api-fuzzing-bug-bountyProvide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.
api-fuzzing-bug-bountyProvide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.
api-security-reviewComprehensive API security review against OWASP API Security Top 10 (2023). Use when reviewing OpenAPI/Swagger specs, auditing REST/GraphQL/gRPC implementations, testing authentication mechanisms, or checking API gateway configurations. Covers BOLA/IDOR, broken auth, mass assignment, rate limiting, SSRF, and more with real-world attack scenarios.CC-BY-4.0
api-security-testingAPI security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
api-security-testingAPI security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
api-security-testingAPI security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
api-security-testingAPI security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
api-test-generator|MIT
api-test-suite-builderUse when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.
api-test-suite-builderUse when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.MIT
api-test-suite-builderUse when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.
api-tester快速 API 测试工具，支持 GET/POST 请求、请求头、认证模式测试。触发词：测试 API、API 请求。
api-testingUse when testing HTTP endpoints, probing URLs for status and headers, or running declarative API test suites from plain text filesMIT
api-testingGenerate comprehensive API tests including endpoint testing, request/response validation, and integration tests. Use when the user asks to test APIs, validate endpoints, create API tests, or verify API functionality.
api-testingGenerate and run Postman collections, validate API responses, manage test suites
api-testingBuild API client tests with Vitest and MockHandler. Validate OpenAPI contract compliance with table-driven tests and minimal mocks.
api-testing-helper|MIT
api-testing-observability-api-mockYou are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
api-testing-observability-api-mockYou are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
api-toolsAPI testing, documentation, and development tools
app-releaseEnd-to-end pipeline for releasing an iOS / watchOS app to TestFlight and the App Store. Use when the user wants to publish, ship, or release an iOS/watchOS app, get a build onto TestFlight, archive and upload via xcodebuild, deploy a CloudKit schema to Production, set App Privacy or export compliance, mint a Distribution certificate, or work through App Store Connect / Apple Developer portal steps. Triggers on 'continue publishing', 'ship the app to TestFlight', 'release the iOS app', 'upload a build', 'deploy CloudKit to production', 'App Privacy labels', 'distribution signing', or any cryptic Apple upload error (cloud signing, 90057 missing CFBundleShortVersionString, 90474 orientation). macOS and Xcode only.
app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.MIT
app-store-optimizationApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
apple-engineer-superpowersUse when writing Swift code for Apple platforms - iOS, macOS, visionOS. Covers Swift 6 concurrency, actors, Sendable, async/await, SwiftUI, MVVM architecture, Metal GPU programming, RealityKit ECS, visionOS scenes, interpolation/animation, advanced collection types, property wrappers, Combine bridging, error handling, testing, and API design patterns.
arborAutonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.MIT license
arcanea-playwright-testingPlaywright E2E testing for the Arcanea web app. Use when writing, running, or debugging Playwright tests, automating browser interactions on the Arcanea platform, capturing screenshots for QA, testing UI flows (academy gate quizzes, lore pages, prompt books, auth), or setting up the test infrastructure. Triggers on: Playwright, E2E test, end-to-end, browser test, UI test, automation, screenshot, test the page. Sourced from Anthropic's official webapp-testing skill and adapted for Arcanea's Next.js 16 stack.licensed
architecture-guidelinesSystem architecture: ES modules, hexagonal architecture, project structure, ADRs, and testing strategy. Use when designing systems, planning directory layout, writing ADRs, or reviewing architecture.
architecture-guidelinesSystem architecture: modules, project structure, ADRs, and testing. Use when designing or reviewing systems.
architecture-patternsArchitecture Patterns workflow skill. Use this skill when the user needs Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
architecture-patternsMaster proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
architecture-patternsMaster proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
architecture-patternsMaster proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
architecture-patternsMaster proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
arize-datasetCreates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.
arize-datasetAlso use when the user needs test data or evaluation examples for their model. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI
arize-experimentCreates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.
ask-internUse when reading large files, multiple medium/large files, broad codebase context, long logs, diffs, transcripts, generated output, or when drafting repetitive tests, fixtures, docs, config, or boilerplate.
aspnet-core-advancedMaster advanced ASP.NET Core development including Entity Framework Core, authentication, testing, and enterprise patterns for production applications.
assemblyai-ci-integrationConfigure AssemblyAI CI/CD integration with GitHub Actions and testing.MIT
assemblyai-local-dev-loopConfigure AssemblyAI local development with hot reload and testing.MIT
assets-ext-regressionRun CIP-26 and CIP-68 wire-shape regression tests for the assets-ext extension against the cf-token-metadata-registry V2 API on mainnet. Use when a user wants to verify yaci-store's API output is byte-equivalent to CF, after a code change to assets-ext, or when investigating reported metadata divergences.
async-pythonPython async/await patterns with asyncio, concurrent.futures, threading, and multiprocessing. Covers async context managers, timeouts, cancellation, common pitfalls (blocking in async, missing await, event loop issues), and choosing between async/threading/multiprocessing. Use when writing async code, debugging async issues, choosing concurrency approaches, or testing async functions.
audit-ciAudit recent CI runs for anomalies (warnings, uncached docker builds, flaky/slow tests, regressions).
auth-killerAuthentication and authorization bypass specialist — OAuth, SAML, JWT, SSO, MFA bypass. Use when testing login
author-agents-md-uv-pythonCreate/update AGENTS.md for a Python repo driven by uv (ruff/mypy/pytest), including single-test commands and editor rule discovery.MIT
auto-qualitySilent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
autodl-hpcPrepare, validate, and gate AutoDL/HPC research experiments with GitHub deploy-key bootstrap, offline data policy, preflight and smoke gates, FileZilla/SFTP result transfer, and formal-run approval boundaries. Defaults to command preparation over autonomous SSH execution. Use when Codex needs AutoDL, /root/autodl-tmp, remote GPU/HPC smoke tests, preflight_autodl.py, run_autodl_smoke.sh, deploy keys, formal suite gating, or safe download/audit workflows.
automated-testing-data-seeding.SKILL
automating-api-testingTest automate API endpoint testing including request generation, validation,MIT
automationAutomation and verification guide for running zero-native WebView shell apps. Use when the user asks to test an app, inspect runtime state, list windows, wait for readiness, reload a WebView, send bridge commands, debug why automation is not connected, create smoke tests, or verify a zero-native example in a GUI-capable session.
automation/skill-smoke-benchRun lightweight import/exec smoke tests for skills and report pass/fail. Use in CI/CD or after creating new skills.
autoresearchAutonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.MIT
autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.MIT
autoresearch-agentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repoMIT
avalonia-accessibility-and-validationDesign or review Avalonia validation, data-error presentation, accessibility semantics, automation properties, focus order, and testable UI metadata. Use for validation pipelines, screen-reader support, keyboard-only UX, automation-tree issues, or accessibility hardening.
aws-penetration-testingProvide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
aws-penetration-testingProvide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
aws-sam-bootstrapProvides AWS SAM bootstrap patterns: generates `template.yaml` and `samconfig.toml` for new projects via `sam init`, creates SAM templates for existing Lambda/CloudFormation code migration, validates build/package/deploy workflows, and configures local testing with `sam local invoke`. Use when the user asks about SAM projects, `sam init`, `sam deploy`, serverless deployments, or needs to bootstrap/migrate Lambda functions with SAM templates.
awt-e2e-testingAI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
awt-e2e-testingAI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
awt-e2e-testingAI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
awt-e2e-testingAI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
axiom-buildUse when ANY iOS build fails, test crashes, Xcode misbehaves, or environment issue occurs before debugging code. Covers build failures, compilation errors, dependency conflicts, simulator problems, environment-first diagnostics.MIT
azure-ai-projects-dotnetALWAYS use this when the user mentions Azure AI Projects Dotnet, asks to build, debug, review, document, automate, test, configure, migrate, or make decisions in this domain, or the task clearly depends on Azure AI Projects Dotnet; scope: Azure AI Projects SDK for .NET. Apply the bundled workflow, references, scripts, Senior Master standard, and Codex strict review gate before final output.
azure-arg-external-evaluation-policy-authorUse when the user wants to author, design, or test an Azure Policy that queries Azure Resource Graph (ARG) at request-time — i.e. a policy whose deny/audit decision depends on data from elsewhere in the subscription (sibling/parent resource state, RG-wide invariants, multi-hop relationships, etc.). Formally called Azure Policy External Evaluation; sometimes referred to colloquially as "Invoke". Drives an iterative KQL co-design loop against the user's real subscription via `az graph query`, then emits a policy definition, assignment, `.http` test flow, and an `EXPLANATION.md` companion. Read-only; never provisions anything.
azure-microsoft-playwright-testing-tsRun Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.
azure-microsoft-playwright-testing-tsRun Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.
azure-microsoft-playwright-testing-tsRun Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.
azure-resource-manager-playwright-dotnetAzure Resource Manager SDK for Microsoft Playwright Testing in .NET.
azure-resource-manager-playwright-dotnetAzure Resource Manager SDK for Microsoft Playwright Testing in .NET.
backend-build-checkEnsure backend build readiness for Espresso Engineered. Use when backend code/config changes are made or when a feature/task is wrapping up to suggest running `npm run build:backend` (and tests only if requested).
backend-dev-guidelinesComprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
backend-engineerExpert in Lighthouse Journey Timeline backend architecture, service patterns, testing, and API development using Express.js, TypeScript, and Drizzle ORM. Use when implementing backend services, APIs, controllers, database queries, authentication, permissions, error handling, testing server code, or writing migrations.
backtest-analyzer-agentBacktest results interpreter and strategy evaluator. Analyzes historical backtest performance, identifies strengths/weaknesses, and provides actionable recommendations for strategy improvement.Proprietary
backtesting-frameworksBuild robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strateg...
backtesting-frameworksBuild robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
backtesting-frameworksBuild robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
backtesting-frameworksBuild robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates.
backtesting-frameworksBuild robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.MIT
backtesting-frameworksBuild robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
backtesting-trading-strategiesBacktest crypto and traditional trading strategies against historicalMIT
bamboohr-local-dev-loopConfigure BambooHR local development with hot reload, mocking, and testing.MIT
bash-scriptingMaster of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts. Use when writing, creating, authoring, generating, or developing bash scripts, shell scripts, or automation. Also triggers for learning bash best practices, understanding defensive programming patterns, implementing error handling, ensuring portability, following shellcheck recommendations, or applying production-grade bash standards. Helps with CI/CD scripts, system utilities, deployment automation, and production bash code.
bash-scriptingBash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.
bash-scriptingBash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.
bash-scriptingBash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.MIT
bats-testing-patternsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
bayesian-reasoning-calibrationApplies Bayesian reasoning to systematically update probability estimates with new evidence, helping make better forecasts and avoid overconfidence. Use when making predictions or judgments under uncertainty, forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
benchmark-optimization-loopUse when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
benchmark-optimization-loopUse when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
benchmark-optimization-loopUse when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
biblical-exegesis-expertScholar of biblical interpretation covering Hebrew Bible and New Testament with historical-critical and literary methodsProprietary
bio-flow-cytometry-clustering-phenotypingUnsupervised clustering and cell-type identification for high-dimensional flow, spectral, and mass cytometry - FlowSOM, PhenoGraph, FlowSOM-via-CATALYST, with UMAP/tSNE for visualization. Covers the type-vs-state marker distinction (cluster on lineage, test state within clusters), over-provision-then-metacluster, the Weber-Robinson benchmark, seed dependence and metacluster stability, why embeddings are for looking not measuring, and median-heatmap annotation/merging. Use when discovering populations without predefined gates, choosing a clustering algorithm, selecting the number of metaclusters, or annotating clusters into cell types.
bloc-patternMaster BLoC (Business Logic Component) pattern for Flutter with flutter_bloc. Learn events, states, testing, and advanced patterns for scalable apps.
blogwatcher-cliUse when managing or interacting with favorite blogs via the BlogWatcher CLI—adding/removing blogs, scanning for new posts, listing articles, marking read/unread, or modifying related CLI behavior, scanning, storage, and tests.
blue-ocean-strategyCreate uncontested market space using value innovation instead of competing head-to-head. Use when the user mentions "blue ocean", "red ocean", "strategy canvas", "ERRC framework", "value innovation", "non-customers", "buyer utility map", "eliminate-reduce-raise-create", or "uncontested market". Also trigger when comparing pricing strategies, exploring new market categories, finding underserved customer segments, or asking how to stop competing on price. Covers the Four Actions Framework, buyer utility map, and value-cost trade-offs. For tech adoption strategy, see crossing-the-chasm. For product positioning, see obviously-awesome.MIT
blue-ocean-strategyCreate uncontested market space using value innovation instead of competing head-to-head. Use when the user mentions "blue ocean", "red ocean", "strategy canvas", "ERRC framework", "value innovation", "non-customers", "buyer utility map", "uncontested market", "stop competing on price", "everyone is undercutting us", "the market is too crowded", or "how do we stand out". Also trigger when comparing pricing strategies, exploring new market categories, finding underserved or non-customers, or escaping a brutal price war. Covers the Four Actions Framework, buyer utility map, and value-cost trade-offs. For tech adoption strategy, see crossing-the-chasm. For product positioning, see obviously-awesome.MIT
bmad-checkpoint-previewLLM-assisted human-in-the-loop review. Make sense of a change, focus attention where it matters, test. Use when the user says "checkpoint", "human review", or "walk me through this change".
bmad-qa-generate-e2e-testsGenerate end to end automated tests for existing features. Use when the user says "create qa automated tests for [feature]
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-teaMaster Test Architect and Quality Advisor. Use when the user asks to talk to Murat or requests the Test Architect.
bmad-testarch-automateExpand test automation coverage for codebase. Use when user says "lets expand test coverage" or "I want to automate tests
brainstorm-experiments-existingDesign experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
brainstorm-experiments-existingDesign experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
brainstorm-experiments-newDesign lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
breakdown-planIssue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.
breakdown-testTest Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.
breakdown-test
brightdata-ci-integrationConfigure Bright Data CI/CD integration with GitHub Actions and testing.MIT
brightdata-local-dev-loopConfigure Bright Data local development with hot reload and testing.MIT
BrowserHeadless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or Interceptor).
browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.MIT
browser-automationUse when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
browser-automationBrowser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202
browser-automationBrowser automation powers web testing, scraping, and AI agent
browser-automationBrowser automation powers web testing, scraping, and AI agent
browser-automationBrowser automation powers web testing, scraping, and AI agent
browser-automationBrowser automation powers web testing, scraping, and AI agent
browser-testingBrowser automation for testing IntelliFill. Replaces puppeteer MCP to save ~4.8k tokens.
browser-testing-with-devtoolsTests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
browser-testing-with-devtools
brutal-honesty-reviewUnvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smell fishy, or technical decisions lack rigor. No sugar-coating, just surgical truth about what's broken and why.
bug-investigationTest-first bug investigation workflow. Use when user reports a bug, error, unexpected behavior, mentions "something is broken", "doesn't work", or "regression". Enforces writing reproducing tests BEFORE code changes.
bug-investigatorExpert guidance for systematic bug hunting, root-cause analysis, and regression testing. Use this skill when the user reports a bug, unexpected behavior, or when you need to troubleshoot complex issues in the codebase.
bug-triageReproduce, isolate, and fix a bug (or failing build/test), then summarize root cause, fix, and verification steps. Use when the user reports a bug, regression, or failing build/test and wants a fix.
bug-triageReproduce, isolate, and fix a bug (or failing build/test), then summarize root cause, fix, and verification steps. Use when the user reports a bug, regression, or failing build/test and wants a fix.
buildBuild the deployable Spring Boot jar, skipping tests for speed.
buildBuild the speech-swift package (release or debug). Use when preparing for testing, benchmarking, or running demos.
build-commandsReference for NixOS build, test, and flake commands. Use when asked about rebuilding, checking config, formatting, or flake operations.
build-control-catalogCreate a CCC control catalog (controls.yaml) for a cloud service — import applicable core controls, define service-specific controls mapped to identified threats, and include testable assessment requirements that validate against schemas/controls-schema.json. Use when the user asks to "identify controls for `service`", "create a control catalog for `service`", or "create controls.yaml" for a service.
build-doctrineImplements a coding task from a written spec with Done-When acceptance items. Use when given a spec to implement: stub the interface, implement it, then write tests that validate the Done-When items and any important behavior beyond them.
build-testRun the project's build / typecheck / lint / test commands and emit the build.passing + tests.passing signals devloop convergence reads.
building-pydantic-ai-agentsBuild AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.MIT
bump-submoduleBump a submodule pointer after its PR merges. Verifies the PR is merged, pulls latest main, stages the pointer, commits, and opens a PR in the parent repo.
bump-tantivyBump tantivy to the latest commit on main branch, fix compilation issues, and open a PR
Burp Suite/Web Security SkillWeb application security testing with Burp Suite integration
burp-suite-testingExecute comprehensive web application security testing using Burp Suite's integrated toolset, including HTTP traffic interception and modification, request analysis and replay, automated vulnerability scanning, and manual testing workflows.
burp-suite-testingExecute comprehensive web application security testing using Burp Suite's integrated toolset, including HTTP traffic interception and modification, request analysis and replay, automated vulnerability scanning, and manual testing workflows.
burp-suite-testingExecute comprehensive web application security testing using Burp Suite's integrated toolset, including HTTP traffic interception and modification, request analysis and replay, automated vulnerability scanning, and manual testing workflows.
burp-suite-testingExecute comprehensive web application security testing using Burp Suite's integrated toolset, including HTTP traffic interception and modification, request analysis and replay, automated vulnerability scanning, and manual testing workflows.
C++ Code Golf ExpertGenerates the shortest possible C++ code for specified tasks, prioritizing brevity and character count minimization over readability.
canva-load-scaleImplement Canva Connect API load testing, auto-scaling, and capacityMIT
cassowaryUse this skill when the user wants to modern cross-platform http load-testing tool.
category-allocation-best-responseComputes the best-response allocation of roster resources across categories in a Head-to-Head Categories matchup. Given our per-category capacity, the opponent's projected output, per-category win probabilities (from matchup-win-probability-sim), and a K-of-N winning threshold, classifies categories into pushed / contested / conceded buckets, emits per-category leverage weights for downstream lineup and streaming decisions, computes the resulting K-of-N win probability, and writes a plain-English rationale. Domain-neutral — portable to any fantasy sport with H2H Cats scoring (MLB 10-cat, NBA 9-cat, NHL 10-cat). Use when you need push/punt decisions, dominated-strategy elimination, leverage weights per cat, or best-response allocation; or when the user mentions "category allocation", "push or punt", "K of N cats", "dominated strategy elimination", "best response allocation", "Blotto fantasy", "leverage weights per cat", or "which cats to push".
causal-inference-root-causeSystematically investigates causal relationships to identify true root causes rather than correlations or symptoms. Distinguishes genuine causation from spurious associations, tests competing explanations, and designs interventions addressing underlying drivers. Use when investigating why something happened, debugging systems, analyzing failures, evaluating policy impacts, or when user mentions root cause, causal chain, confounding, spurious correlation, or asks "why did this really happen?
chain-roleplay-debate-synthesisFacilitates structured roleplay, debate, and synthesis to resolve decisions with multiple legitimate perspectives and inherent tensions. Surfaces assumptions that single-viewpoint analysis would miss and integrates competing priorities into coherent recommendations. Use when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality), need to pressure-test ideas from different angles, explore tradeoffs between incompatible values, or synthesize conflicting expert opinions into coherent strategy.
changelog-008-002-system-rerank-sidecar-skillBuilds the shared HTTP cross-encoder sidecar skill at .opencode/skills/system-rerank-sidecar/. FastAPI service backed by Qwen3-Reranker-0.6B with sigmoid normalization, asyncio.Lock serialization, three endpoints plus a passing pytest suite.
changelog-formatChangeLog.md format spec for VibeCodeHPC. Use when writing or validating ChangeLog entries with compile/job/test/sota fields.
channel-economicsUse when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection (e.g., 'which channel actually makes money — direct or partner?').MIT
channel-economicsUse when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection (e.g., 'which channel actually makes money — direct or partner?').MIT
channel-economicsUse when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection (e.g., 'which channel actually makes money — direct or partner?').MIT
channel-economicsUse when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection (e.g., 'which channel actually makes money — direct or partner?').MIT
channels-reply-latest[CODEX-CHANNELS] Reply to the newest actionable interaction with less shell ceremony.
chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
chaos-testingRun controlled chaos and stress tests on your system. Use when testing resilience or load capacity.
chatbot-orchestration-builderBuild and evolve TravelTom as a world-class travel chatbot with deterministic orchestration flows, strict tool contracts, and production-grade software engineering quality. Use when implementing or refining chat behavior, session state handling, tool-call schemas, orchestration policies, guardrails, and chatbot integration tests.
checkRun the glmm-mcem test suite and inject coverage + source layout for repo context
check-coverageAnalyze test coverage and identify untested code paths
check-implImplementation verification - runs format, lint, test, and build checks on the workspace.
chemgraphDevelop, test, and extend ChemGraph -- an agentic framework for automated molecular simulations using LLMs, LangGraph, ASE, and MCP serversApache-2.0
chinese-thesis-workbenchStandardize, draft, revise, check, and package Chinese undergraduate thesis or graduation-design papers from school templates, task books, proposals, sample papers, source code, screenshots, databases, APIs, tests, literature PDFs, Word comments, and existing drafts. Use when the user asks to write, generate, refactor, polish, reduce AIGC style, verify, format, or deliver a Chinese thesis with evidence traceability, figure registries, workflow logs, chapter word control, screenshots, references, DOCX output, and appendix DOCX.
chronos-data-flowTest Chronos Docker stack data flow across container states. Run to verify Core, Query Service, and MCP connectivity, health endpoints, event creation/query, and end-to-end data flow. Triggers on "test data flow", "check data flow", "chronos health", "test chronos stack", "verify containers".
chunk-gateUse when completing an implementation chunk, moving between plan chunks, or advancing a pursuit loop batch where intermediate typecheck, build, and test validation must pass before continuing.
ciDiagnoses and fixes CI failures and re-runs GitHub Actions jobs. Use when CI is failing, tests break in CI, lint errors block merging, a build fails, or jobs need re-running.
ciDiagnoses and fixes CI failures and re-runs GitHub Actions jobs. Use when CI is failing, tests break in CI, lint errors block merging, a build fails, or jobs need re-running.
ci-cd-and-automationAutomates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
ci-cd-helperGenerate CI/CD configurations and automation scripts for building, testing, and deploying
ci-cd-opsCI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite action.MIT
ci-cd-setupSet up GitHub Actions or other CI/CD pipelines. Creates automated testing, building, and deployment workflows. Use when user says 'CI', 'CD', 'GitHub Actions', 'pipeline', 'automate testing', or 'deploy automation'.
ci-pr-helperRun local test/style checks and open GitHub PRs for lance-context. Use when asked to run CI-equivalent checks (uv pytest, ruff/pyright, cargo fmt/clippy/test) and then create a PR with a proper title/body.
CI/CD PipelineGenerate CI/CD configs for GitHub Actions, GitLab CI, and Jenkins. Use when setting up pipelines, configuring test stages, or automating deploys.
cime-sys-testingUse when writing or modifying CIME sys (end-to-end) tests.
circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
circleci-automationAutomate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.
clade-ci-integrationTest and validate Claude integrations in CI/CD pipelines \u2014\nUse\MIT
clari-ci-integrationIntegrate Clari export pipeline testing and validation into CI/CD.MIT
classify-claimAssigns each extracted claim to one of five buckets — simplified-correct, simplified-boundary, wrong, contested, overclaim — with low/medium/high confidence and one-sentence rationale. Classification happens before primary-source verification (which confirms, not invents). Use for every claim from claim-extractor. Trigger keywords: classify, bucket, simplified vs wrong, claim type, technical classification.
claude-allow-stopReturn to normal stop behavior. Use PROACTIVELY after completing all tasks in continuous work mode, when work is committed and tests pass, or when reaching natural stopping point. User can invoke with /claude-allow-stop.
clawdhubUse the ClawdHub CLI to search, install, update, and publish agent skills from clawdhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawdhub CLI.
clawhubUse the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.
clay-ci-integrationConfigure CI/CD pipelines for Clay integrations with automated testingMIT
clay-local-dev-loopSet up a local development loop for building and testing Clay integrations.MIT
clean-codeWrite readable, maintainable code through disciplined naming, small functions, and clean error handling. Use when the user mentions "code review", "naming conventions", "function too long", "code smells", "readable code", "boy scout rule", "single responsibility", "unit test quality", "my code is hard to read", "this function is a mess", "clean up this code", or "hard to maintain". Also trigger when reviewing pull requests for readability, untangling messy functions, debating comment styles, or improving error handling patterns. Covers SRP, comment discipline, formatting, and unit testing. For refactoring techniques, see refactoring-patterns. For architecture, see clean-architecture.MIT
cleanup-dealsStandardize deal pipelines, remove test deals, and address deals with missing amounts or close dates. Coordinates with Salesforce sync if applicable.MIT
cleanup-dealsStandardize deal pipelines, remove test deals, and address deals with missing amounts or close dates. Coordinates with Salesforce sync if applicable.MIT
clerk-ci-integrationConfigure Clerk CI/CD integration with GitHub Actions and testing.MIT
cli-ux-testerExpert UX evaluator for CLIs, terminal tools, and developer APIs. Use when reviewing command usability, error messages, help systems, or developer experience.MIT
clickhouse-ci-integrationRun ClickHouse integration tests in CI with GitHub Actions and DockerMIT
clickhouse-local-dev-loopRun ClickHouse locally with Docker, configure test fixtures, and iterateMIT
clickhouse-queryRun ClickHouse queries for analytics, metrics analysis, and event data exploration. Use when you need to query ClickHouse directly, analyze metrics, check event tracking data, or test query performance. Read-only by default.
clickup-local-dev-loopSet up local development for ClickUp API integrations with testing,MIT
cloud-penetration-testingConduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
cloud-penetration-testingConduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
cloud-penetration-testingConduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
cloud-penetration-testingConduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
cloud-penetration-testingConduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
cmo-review/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix. Use when launching a campaign or repositioning, or when CAC is rising and the one-sentence positioning test fails.
cmo-review/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix. Use when launching a campaign or repositioning, or when CAC is rising and the one-sentence positioning test fails.
cmo-review/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix. Use when launching a campaign or repositioning, or when CAC is rising and the one-sentence positioning test fails.MIT
codeUse BEFORE generating, refactoring, reviewing, or debugging code. Trigger phrases include "write a function/script/class for X", "review this code/diff/PR", "refactor this", "debug this error", "is this implementation correct", "what's wrong with this code", "improve this code", "translate from X to Y", or any prompt with a code block the user wants you to act on. Also fires when planning architectural changes, picking algorithms or data structures, or evaluating dependency upgrades. Calls the code MCP tool to retrieve an engineering scaffold (failure pattern, procedure, correct-pattern example, verification step) before generating. Catches hallucinated APIs, lost edge cases, premature algorithm commitment, silent contract violations, refactors that change behavior masked by passing tests. Do NOT trigger for pure code reading with no action requested, simple syntax questions, file system operations, running existing tests, or confirming an existing pattern is fine.MIT
code-assistGuides implementation of code tasks using test-driven development in an Explore, Plan, Code, Commit workflow. Acts as a Technical Implementation Partner and TDD Coach — following existing patterns, avoiding over-engineering, and producing idiomatic, modern code.
code-auditorPerforms comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
code-block-examples-testTest skill with example code blocks that should NOT be detected as real references
code-conventionsCode style, logging, and testing conventions for SkillHub backend (Java) and frontend (TypeScript). Use when writing or reviewing code.Apache-2.0
code-coverageAnalyzes test coverage, identifies untested code paths, and generates tests for the most critical uncovered areas. Use to improve test coverage before releases.
code-data-analysis-scaffoldsGenerates structured scaffolds (frameworks, checklists, templates) for technical work — TDD test suites, exploratory data analysis plans, statistical analysis designs, causal vs predictive modeling objectives, and validation checklists. Use when starting technical work that needs systematic planning before execution. Invoke when user mentions "write tests for", "explore this dataset", "analyze", "model", "validate", "design an A/B test", or when technical work needs scaffolding before execution.
code-reviewReview code changes in this repository for bugs, regressions, security issues, maintainability, missing tests, and violations of project standards. Use when the user asks for a review, code review, PR review, or asks to review recent git changes.
code-reviewReview code for correctness, maintainability, security, accessibility, and test coverage.
code-review-assistAugments human code review by summarizing changes, surfacing key review questions, assessing test coverage, and identifying low-risk sections. Use when reviewing a diff, PR, or code snippet as a senior review partner.
code-runnerExecute code in multiple programming languages. Use when the user asks to run, test, or debug code in Python, JavaScript, shell, or other languages.
codebase-designShared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.MIT
codebase-designShared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.MIT
codebase-designShared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.MIT
coder-rigorous-skillExtremely high code standards, linting, typo checks, supply-chain care, 90%+ test coverage, CI/CD. TRIGGER when: any .rs file is being edited, created, or reviewed, or the user asks to write/refactor/fix Rust code. DO NOT TRIGGER for: non-Rust tasks.MIT.
Codex-a11y-auditUse when reviewing UI diffs, accessibility audits, or flaky UI tests to catch a11y regressions, semantic issues, keyboard/focus problems, and to recommend minimal fixes plus role-based test selectors.
coding-workflowDefault Inferoa coding workflow: inspect, plan, edit, test, record evidence, and preserve context.
cohere-local-dev-loopConfigure Cohere local development with mocking, testing, and hot reload.MIT
commissioning-reportsBuilding commissioning workflows including MBCx procedures, testing protocols, report generation, and energy conservation measure verification following ASHRAE Guideline 0 and NEBB standards
common-issuesKnown issues and their solutions in the Trezor Suite monorepo. Use when encountering build failures, test failures, or environment problems.
community-import-smoke-testA portable community plugin for validating Open Design plugin import flows.
completion-verifierVerifies implementation completion by running acceptance tests and triggers retry loop on failure.
component-fixturesUse when creating or updating component fixtures for screenshot testing, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, and common pitfalls.
component-refactoringRefactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
component-testerRun Vitest tests for a specific component with coverage. Use when making changes to React components to ensure tests pass and coverage is maintained.
compress-skillShrink a SKILL.md by ~25% — deterministic cleanup pass first, optional LLM rewrite if needed — with invariants on frontmatter, headings, code blocks, and test anchors.
confirming-pentest-authorization|MIT
connect-to-what-you-knowBuilds durable understanding by forcing the user to connect a new concept to things they already know — analogies to other languages, prior patterns, similar abstractions in different domains. The agent never volunteers the analogy; the user produces it, the agent stress-tests it. Use when the user is learning something new and wants to anchor it to existing knowledge, when reading code that uses an unfamiliar pattern, when a concept "isn't sticking", or anytime they say "what does this remind me of?" or "connect this to what I know".
connectorCreate, test, validate, and deploy Insight Connectors. Supports both nocode (declarative YAML) and CDK (Python) connector types. Commands: /connector create <name>, /connector test <name>, /connector schema <name>, /connector deploy <name>, /connector validate <name>.
content-experimentation-best-practicesContent experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
content-experimentation-best-practicesContent experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
content-experimentation-best-practicesContent experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API
context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
context7-auto-researchAutomatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
continuous-discoveryBuild a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", "outcome-based roadmap", "how do I talk to customers regularly", "we keep building things nobody uses", or "connect research to the roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or tying discovery insights to delivery work. Covers experience mapping, co-creation, and prioritizing opportunities. For interview technique, see mom-test. For team structure, see inspired-product.MIT
contract-test-creator|MIT
contract-testing-skill
copywritingWrite persuasive copy for landing pages, emails, ads, sales pages, and marketing materials. Use when you need to write headlines, CTAs, product descriptions, ad copy, email sequences, or any text meant to drive action. Covers copywriting formulas (AIDA, PAS, FAB), headline writing, emotional triggers, objection handling in copy, and A/B testing. Trigger on "write copy", "copywriting", "landing page copy", "headline", "write a sales page", "ad copy", "email copy", "persuasive writing", "how to write [marketing text]".
coverageRun the requirements coverage report and show which requirements are uncovered by tests.
coverageMeasure Bun test coverage and close gaps on a specific file. Use when adding or editing tests, when asked about coverage, or when the PostToolUse coverage hook reports uncovered lines.
coverage-checkCheck test coverage and identify files below 80% threshold. Use before committing to avoid SonarCloud failures.
crate-prPython testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Create Rule ProcessorScaffold a new rule processor, implement the evaluation logic, and write tests.
create-agentCreate a production-ready Google Cloud agent using ADK and Agent Starter Pack with CI/CD, deployment, and testing infrastructure
create-di-containerGenerates DI Container configuration for PHP 8.4. Creates module classes, service providers, container configuration, and autowiring setup. Supports Symfony, Laravel, and PHP-DI patterns. Includes unit tests.
create-integrationUse when creating a new Elastic integration package, scaffolding data streams, answering package layout or structure questions, or running the end-to-end integration build workflow. Covers package topology, scaffold commands, post-scaffold edits, and full orchestration of CEL/pipeline/test subagents.Apache-2.0
create-use-caseCreate a new business use case (Request + UseCase + Test) following TDD workflow. Use when user asks to implement new business logic, domain operations, or create commands/queries. Always follow Red-Green-Refactor cycle.
create-web-applications-browsertestInstructions for creating a browser test in the chrome/browser/web_applications and chrome/browser/ui/web_applications directories.
create-web-applications-browsertestInstructions for creating a browser test in the chrome/browser/web_applications and chrome/browser/ui/web_applications directories.
creating-claude-mdUse when the user wants to create a new CLAUDE.md from scratch for a repository, bootstrap project memory for a new repo, set up a repo for Claude Code for the first time, or completely rewrite an existing CLAUDE.md deemed unsalvageable. Produces a lean, high-signal file under 80 lines (120 hard cap) by scanning the repo for mechanical content (stack, commands, structure) and interviewing the user for judgment content (WHY, gotchas, out-of-scope, approval gates, testing philosophy, external docs like Confluence pages). NOT for auditing or incrementally improving an existing CLAUDE.md — that is the claude-md-improver skill's role.
creating-financial-modelsThis skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisionsMIT
creating-oracle-to-postgres-migration-integration-testsCreates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.
creating-oracle-to-postgres-migration-integration-tests
credteamLive adversarial red team assessment against a running system. Goal-directed penetration testing with source code access. Requires isolated environment.
critical-path-planningIdentify the shortest execution path via CPM forward/backward pass, resource
critiqueEvaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, automated anti-pattern detection, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.
cro-methodologyAudit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isn''t converting", "conversion rate", "A/B test", "why visitors leave", or "objection handling". Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.MIT
cro-methodologyAudit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce rate", "split testing", or "conversion funnel". Also trigger when diagnosing why signups are low, designing experiment hypotheses, or auditing checkout flows for friction points. Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.MIT
cro-methodologyAudit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce rate", "split testing", "conversion funnel", "increase signups", "people add to cart but dont buy", or "improve conversions". Also trigger when diagnosing why signups are low, designing experiment hypotheses, or auditing checkout flows for friction points. Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.MIT
cross-skill-references-testTest skill with cross-skill reference notation
crossframe-debateUse when CrossFrame Suite routes explicit Chinese proposition testing, debate analysis, hidden-premise review, rebuttal design, or withdrawal condition checks.MIT
crossframe-debateUse when CrossFrame Suite routes explicit Chinese proposition testing, debate analysis, hidden-premise review, rebuttal design, or withdrawal condition checks.MIT
crypto-bd-agentProduction-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
crypto-bd-agentProduction-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
crypto-bd-agentProduction-tested patterns for building AI agents that autonomously discover, > evaluate, and acquire token listings for cryptocurrency exchanges.
cs-ceo-advisorStrategic leadership advisor for CEOs covering vision, strategy, board management, investor relations, and organizational culture. Use when a founder or CEO faces a company-level strategic decision — e.g., preparing the narrative and metrics for a quarterly board meeting, or stress-testing a pivot or market-expansion decision against vision, runway, and stakeholder expectations.
cs-ceo-advisorStrategic leadership advisor for CEOs covering vision, strategy, board management, investor relations, and organizational culture. Use when a founder or CEO faces a company-level strategic decision — e.g., preparing the narrative and metrics for a quarterly board meeting, or stress-testing a pivot or market-expansion decision against vision, runway, and stakeholder expectations.MIT
cs-product-analystProduct analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation. Use when a product question needs numbers — e.g., defining activation/retention KPIs and a dashboard spec for a new feature, or sizing an A/B test and judging whether the result is significant enough to ship.
cs-product-analystProduct analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation. Use when a product question needs numbers — e.g., defining activation/retention KPIs and a dashboard spec for a new feature, or sizing an A/B test and judging whether the result is significant enough to ship.MIT
cs-ux-researcherUX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when product decisions need user evidence — e.g., planning interview scripts and recruiting criteria for a discovery study, or synthesizing usability-test sessions into prioritized findings and updated personas.
cs-ux-researcherUX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when product decisions need user evidence — e.g., planning interview scripts and recruiting criteria for a discovery study, or synthesizing usability-test sessions into prioritized findings and updated personas.MIT
csharp-mstestGet best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
csharp-mstestGet best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
csharp-nunitGet best practices for NUnit unit testing, including data-driven tests
csharp-nunitGet best practices for NUnit unit testing, including data-driven tests
csharp-nunitGet best practices for NUnit unit testing, including data-driven tests
csharp-proWrite modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing.
csharp-proWrite modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing.
csharp-proWrite modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing.
csharp-tunitGet best practices for TUnit unit testing, including data-driven tests
csharp-tunitGet best practices for TUnit unit testing, including data-driven tests
csharp-xunitGet best practices for XUnit unit testing, including data-driven tests
csharp-xunitGet best practices for XUnit unit testing, including data-driven tests
cupstestppdUse this skill when the user wants to use cupstestppd, cli tool: cupstestppd.
customerio-ci-integrationConfigure Customer.io CI/CD integration with automated testing.MIT
customerio-load-scaleImplement Customer.io load testing and horizontal scaling.MIT
cypressCypress end-to-end and component testing patterns for web apps: reliable selectors, stable waits, network stubbing, auth handling, CI parallelization, and flake reductionMIT
cypress-playwright-setupSets up end-to-end testing with Cypress or Playwright including page objects, fixtures, and CI integration. Use when users request "E2E testing", "Cypress setup", "Playwright setup", "browser testing", or "integration tests".
cypress-playwright-setupSets up end-to-end testing with Cypress or Playwright including page objects, fixtures, and CI integration. Use when users request "E2E testing", "Cypress setup", "Playwright setup", "browser testing", or "integration tests".
dart-log-failure-parserParse failures from Dart and Flutter test logs.
data-access-guidelinesDatabase access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based access control (RBAC), migration workflows, type-safe queries, transaction handling, soft deletes, and testing strategies. Use when working with Prisma schema, DAOs, database migrations, or data access patterns in libs/data-access.
data-engineering-data-driven-featureBuild features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
data-engineering-data-driven-featureBuild features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
data-quality-frameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
data-quality-frameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
data-quality-frameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
data-quality-frameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.MIT
data-quality-frameworksImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
data-scientistUse this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations. Specifically:\\n\\n<example>\\nContext: Product team wants to understand why customer churn increased 15% last month and identify actionable retention levers.\\nuser: \"We're seeing higher churn recently. Can you analyze our customer data and tell us what's driving it?\"\\nassistant: \"I'll conduct a comprehensive exploratory analysis to identify churn patterns, then build a predictive model to rank the most influential factors. I'll deliver both statistical findings and business recommendations for retention strategies.\"\\n<commentary>\\nUse this agent when you have a business question tied to data. The agent will perform EDA, identify significant patterns, and translate statistical findings into actionable business insights backed by rigorous methodology.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Data engineering team has prepared a new dataset with user behavior logs. The product manager wants to forecast demand for the next quarter.\\nuser: \"We have three months of behavioral data. Can you build a forecast model for next quarter demand?\"\\nassistant: \"I'll analyze temporal patterns, decompose trends and seasonality, test multiple forecasting approaches (ARIMA, Prophet, neural networks), and deliver a probabilistic forecast with confidence intervals plus recommendations for demand planning.\"\\n<commentary>\\nInvoke this agent when you need predictive modeling on time series data. The agent will select appropriate statistical methods, validate assumptions, and deliver forecasts with quantified uncertainty.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A/B test results are ready. Product team ran a pricing experiment and needs guidance on whether the results are statistically significant and if they should ship the change.\\nuser: \"We ran an A/B test on pricing. Can you analyze if the results are real and what we should do?\"\\nassistant: \"I'll perform hypothesis testing on your treatment vs. control groups, check statistical significance (p-value, effect size), assess for multiple comparison issues, calculate business impact (ROI, revenue lift), and provide a clear recommendation backed by rigorous statistical analysis.\"\\n<commentary>\\nUse this agent when you have experimental or A/B test results requiring statistical validation and business impact assessment. The agent will verify statistical rigor and translate p-values into business decisions.\\n</commentary>\\n</example>
data-stats-analysisPerform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
data-stats-analysisPerform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
database-test-helper|MIT
databricks-synthetic-data-genGenerate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.
dbt-test-creator|MIT
dbt-transformation-patternsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsProduction-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
dbt-transformation-patternsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.MIT
dbt-transformation-patternsMaster dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
dbt-versioningLoad when task involves dbt model versioning, creating v2 of a model, or backward-compatible model changes. Covers versions YAML config, defined_in, latest_version, and ref() with version pins.
debateStructured AI debate templates and synthesis. Use when orchestrating multi-round debates between AI tools, 'debate topic', 'argue about', 'stress test idea', 'devil advocate'.
debugALWAYS invoke when the user reports a bug, failing test, or wants to verify a hypothesis. Triggers: "debug X", "fix this bug", "why is X failing", "stack trace", "investigate X", "is X actually doing Y", "prove/disprove". Two modes via `certainty:` — high (default, full TDD fix) or low (hypothesis investigation, no fix). When NOT to use: new features (use build), quality polish on known-good code (use polish).
debug-asan-buildBuild and test this repo with the CMake preset debug-asan (AddressSanitizer). Use when asked how to configure, build, run, or test with ASAN/debug builds in this project.
debug-errorUse when the user has an error, bug, stack trace, failing test, or unexpected behavior to diagnose.
debug-with-valgrindDebug crashes, segfaults, and memory errors using valgrind integration with nextest through pre-configured profiles
debuggerDebugging specialist for errors, test failures, and unexpected
debuggerDebugging specialist for errors, test failures, and unexpected
debugging-and-error-recoveryGuides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
debugging-and-error-recoveryGuides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
deep-module-refactorExplore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.
deep-module-refactorExplore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.
deep-reviewMulti-pass deep code review — security, quality, and test gaps
deepgram-ci-integrationConfigure Deepgram CI/CD integration for automated testing and deployment.MIT
deepgram-local-dev-loopConfigure Deepgram local development workflow with testing and mocks.MIT
Defense in DepthThis skill should be used when implementing "multi-layer validation", "comprehensive error handling", "input sanitization", "security testing", "data validation layers", "fault tolerance", or when building robust systems with multiple validation checkpoints.
defining-pentest-scope|MIT
delegation-specGenerate a pre-flight delegation spec for any agent task -- context packages for memory-weak tools, review gates for opacity-prone tools, compounding checkpoints for stateless tools. The "test suite before the agent runs the work." Use when handing off a task to an agent, preparing a workflow for autonomous execution, or writing deployment specs for client agent systems.
deliberation-debate-red-teamingChallenges plans, designs, and decisions from multiple adversarial perspectives to surface blind spots, hidden assumptions, and vulnerabilities before they cause real damage. Use when testing plans or decisions for blind spots, need adversarial review before launch, validating strategy against worst-case scenarios, building consensus through structured debate, identifying attack vectors or vulnerabilities, or when groupthink or confirmation bias may be hiding risks.
dependency-updateGuides dependency version updates by checking nuget.org for latest versions, triggering the dotnet-migrate-package Azure DevOps pipeline, and monitoring runs. Use this when asked to update external NuGet dependencies.
dependency-upgradeMaster major dependency version upgrades, compatibility analysis, staged upgrade strategies, and comprehensive testing approaches.
dependency-upgradeMaster major dependency version upgrades, compatibility analysis, staged upgrade strategies, and comprehensive testing approaches.
dependency-upgradeManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.MIT
dependency-upgradeManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.
deploySkill to automate the full deployment process including build, test, and release steps
deploySkill to automate the full deployment process including build, test, and release steps
deploySkill to automate the full deployment process including build, test, and release steps
deploySkill to automate the full deployment process including build, test, and release steps
deploySkill to automate the full deployment process including build, test, and release steps
deployment-sopDeployment workflows, pre-deploy validation, and smoke testing patterns. Use when deploying to staging or production, running smoke tests, or validating deployments.
deployment-validation-config-validateYou are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat
deployment-validation-config-validateYou are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat
deployment-validation-config-validateYou are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat
designDesign Thinking process—Empathize, Define, Ideate, Prototype, Test. Use for product design, solving ambiguous problems, or when you don't know what users really need.
design-of-experimentsGenerates structured experimental designs (factorial, response surface, Taguchi) to systematically discover how multiple factors affect outcomes while minimizing experimental runs. Use when optimizing multi-factor systems with limited experimental budget, screening many variables to find the vital few, discovering interactions between parameters, mapping response surfaces for peak performance, validating robustness to noise factors, or when users mention factorial designs, A/B/n testing, parameter tuning, or process optimization.
design-sprintRun a structured 5-day process to prototype, test, and validate product ideas with real users. Use when the user mentions "design sprint", "validate in a week", "rapid prototype", "test with users", "de-risk before building", "GV sprint", "prototype testing", or "design workshop". Also trigger when a team needs to make a critical product decision quickly, resolve stakeholder disagreements, or test risky ideas before investing in development. Covers mapping, sketching, deciding, prototyping, and testing. For ongoing experimentation, see lean-startup. For customer job analysis, see jobs-to-be-done.MIT
design-sprintRun a structured 5-day process to prototype, test, and validate product ideas with real users. Use when the user mentions "design sprint", "validate in a week", "rapid prototype", "test with users", "de-risk before building", "GV sprint", "prototype testing", "design workshop", "should we build this", "validate an idea fast", or "test before we build". Also trigger when a team must make a critical product decision quickly, resolve stakeholder disagreements, or test a risky idea before investing in development. Covers mapping, sketching, deciding, prototyping, and testing. For ongoing experimentation, see lean-startup. For customer job analysis, see jobs-to-be-done.MIT
detoxProvides comprehensive guidance for Detox mobile testing framework including React Native testing, E2E testing, and test synchronization. Use when the user asks about Detox, needs to test React Native applications, write E2E tests for mobile apps, or configure Detox.licensed
devFull development environment - builds the project and runs 1 server plus 4 clients. Use when the user wants to test multiplayer, simulate 4-player co-op, or run the complete dev environment.
dev-agentAnalyze repositories, implement code changes, run tests, and optionally commit.
dev-clusterManages Ambient Code Platform development clusters (kind/minikube) for testing changes
dev-code設計書（docs/design/）を受け取り、Coderエージェントを起動してプロダクションコードの実装まで進める。/dev-planの次に呼ぶスキル。完了後は/dev-testを呼ぶ。
dev-containerSets up and manages the isaaclab_arena Docker container — the single environment used for Arena's development, testing, training, and evaluation. Use when the user asks to set up the dev environment, bootstrap the project, get started on a fresh clone, start developing, build or rebuild the image, start or attach to the container, or run any command inside it. Also covers ./docker/run_docker.sh flag combinations (-r rebuild, -R rebuild without cache, -d/-m/-e custom dataset/model/eval mounts), docker exec usage, and the /isaac-sim/python.sh aliasing.
dev-create-moduleUse when creating a new feature module with all layers - service, adapter, types, state, components, and tests.
dev-create-moduleUse when creating a new feature module with all layers - service, adapter, types, state, components, and tests.
dev-expertsApply opinionated developer personas for architecture decisions, production debugging, language-specific code review, comprehensive reviewer passes, and test strategy. Use when you need an architect plan, devops investigation, Rust/Python/C++ review, grumpy reviewer audit, or tester-driven test plan. Triggers: architect, devops, rust-dev, python-dev, cpp-dev, reviewer, tester, pre-merge review, refactor for maintainability.
dev-loginStart the HTTP test server on port 4202 and open Playwright authenticated as a specific dev user (admin, program-rep, or center-rep). Use when testing PRMS UI changes in a browser, verifying a role-scoped flow, or reproducing a user-reported bug.
dev-releaseUse to drive a guided release pipeline — version bump, changelog drafting, doc review, test/lint, PR creation, tag, GitHub release, and back-merge. Mixes agent steps (the agent does them) with user-only steps (push / merge / tag, blocked by policy and printed for the user). Trigger when the user says "cut a release", "release v0.6", "/dev-release", or asks to bump version + changelog + tag.
dev-setupSetting up a fresh jBOM development environment — clone, virtualenv, editable install, pre-commit hooks, running tests, common development tasks, and building distribution packages. Use when onboarding to jBOM development for the first time or when reinstalling a dev environment from scratch.
dev-storyImplement a user story from the tech spec or epics list. Handles coding, testing, and completion verification.
develop-ai-functions-exampleDevelop examples for AI SDK functions. Use when creating, running, or modifying examples under examples/ai-functions/src to validate provider support, demonstrate features, or create test fixtures.
developing-svelteUse when working with .svelte files, SvelteKit projects, or Svelte reactivity. Covers component structure, stores, routing, Svelte 5 runes, and testing patterns.

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