How many agents skills are there?

We list 2215 AI agent skills related to agents.

Agents Agent Skills

There are 2215 agent skills in our directory.

Agent skills related to agents. We catalog 2215 skills that mention agents in their name or description.

Updated June 2026

__init__Imported skill __init__ from agentskills
.claude/skills/agent-structure-design/SKILL.md|
{{ skill_name }}Agent-native CLI for {{ spec.display_name or spec.name }}. Use this to {{ spec.description | replace('\n', ' ') }}
{{CMD_PREFIX}}-onboardOnboard a person or agent into {{PROJECT_NAME}}'s operating model. Use to bring a new contributor up to speed on how the system works.
{{SKILL_CORE}}Master entry point and router for the {{PROJECT_NAME}} agentic workflow. Read at the start of every session. Summarizes the authoritative contract ({{CONTRACT_FILE}}) and routes to specialist skills for task workflow, review, docs sync, diagnosis, and handoff. Use whenever working in this repository, or when asked about repository policy, the agent contract, the task workflow, build/verification commands, or which skill applies.
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<skill-name>Wrap a deterministic script for agent targeting.
<skill-slug><一行描述：what / when / why。用于 Claude Code / Codex / Cursor 等 agent 识别何时触发本 skill。关键词覆盖要广，对 agent 的 retrieval 准确率影响很大>
06-agent-generateGenerate an agent across the host AI tools a project uses. Use when the user wants to create, scaffold, or refactor an agent, subagent or specialized role. Not for other artifacts like skills, rules, commands, hooks.
06-agents.skill
0xworkFind and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
2026-02-16-vision-brief-skillAgentic Coding plugin update: PRD skill gets paired AC/user stories and scope sections; Vision Brief skill adds strategic depth with 10 questions and inline examples.
20260123020302-doc-writer-agent-to-skill
2agentConfigures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent setup, PM coordination, Cursor setup, or 2-agent operations. Do NOT load for: solo operation, workflow execution, or handoff processing.
8004kenzoHigh-performance analytics agent on Base specializing in technical signals, honeypot detection, and advanced reasoning powered by MCP.
a2a-server-configAgent-to-Agent (A2A) server configuration patterns for HTTP, STDIO, SSE, and WebSocket transports. Use when building A2A servers, configuring MCP transports, setting up server endpoints, or when user mentions A2A configuration, server transport, MCP server setup, or agent communication protocols.
a2a-server-configAgent-to-Agent (A2A) server configuration patterns for HTTP, STDIO, SSE, and WebSocket transports. Use when building A2A servers, configuring MCP transports, setting up server endpoints, or when user mentions A2A configuration, server transport, MCP server setup, or agent communication protocols.
a2uiGenerate A2UI 0.8 protocol compliant UI code. Use when building agent-driven interfaces, generating JSONL messages for surfaceUpdate/dataModelUpdate/beginRendering, creating forms, lists, cards, or any UI components that render across web/mobile/desktop platforms.
a2ui-authorGenerate, validate, and interpret static A2UI v0.8 JSON for interactive UI surfaces. Use when an agent needs to call publish_a2ui, author A2UI messages, check whether generated A2UI JSON is valid, or handle normalized userAction replies from interactive UI callbacks.
academic-review-boardAI Academic Review Board — multi-agent peer review for research papers. Use when: user wants to review a paper/experiment design, run a peer review session, set up a review board for a research project, or evaluate research methodology. NOT for: code review, investment decisions, or simple proofreading.
accint-solveRoute agent work through AccInt's MCP memory loop: retrieve prior outcomes, resolve frames, and close commitments with evidence.Apache-2.0
accint-solveRoute agent work through AccInt's MCP memory loop: retrieve prior outcomes, resolve frames, and close commitments with evidence.Apache-2.0
ace-context-evolutionUse when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-assessAgentRC readiness assessment — static HTML dashboard at reports/index.html
acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
acreadiness-generate-instructionsAgentRC instruction file generator — .github/copilot-instructions.md, custom paths
acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides
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.
adam-framework5-layer persistent memory and coherence architecture for OpenClaw agents. Solves AI amnesia and within-session drift. Built and validated over 353 sessions on a live business. No CS degree required.
add-agent-templatesAdd new Agent templates to the meta-agent-skills framework.
add-event-typeAdd a new event type to the frontend feed system with corresponding React component. Use when user mentions "new event", "add event type", "event block", "new block type", or wants to display new agent output types.
add-skillAdd an agent skill to an existing template
address-issuesAddress open issues using issue-thread-driven agent loops with 2-way human-AI collaboration
adka set of guidelines to build with Botpress's Agent Development Kit (ADK) - use these whenever you're tasked with building a feature using the ADKMIT
adk-agent-builder|MIT
adk-deploy-guideMUST READ before deploying any ADK agent to Google Cloud — covers Cloud Run, Agent Engine, Vertex AI, event-driven agents, and ADK CI/CD pipelines. Use when deploying ADK agents to production, not for agent code patterns (use google-adk) or project scaffolding.
adk-deployment-specialistDeploy and orchestrate Vertex AI ADK agents using A2A protocol. ManagesMIT
advisory-editA strict advisory-only editing discipline for a writer who dictates ("speaks out") essays and wants help WITHOUT having their voice changed. The editor directs structure, flags grammar, and suggests strategic language — but never modifies the writer's text unless the writer explicitly says "apply" / "make that change" / "rewrite this." Produces a line-referenced, suggestion-only critique where every item is marked the writer's call. Four passes: structural, line (grammar/clarity), voice, pre-publish. Use when reviewing a draft, critiquing a spoken-out article, or doing a pre-publish check. The companion to learning-in-public-voice and the operating manual for the biostat-editor agent.
aegis-verify-identityAdvanced AI agent for verifying human identity (Proof-of-Personhood), managing decentralized credentials, and identifying Sybil behavior.
Agent DevelopmentThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
Agent NameOne paragraph describing what this agent does, who it's for, and when to activate it.
Agent NameOne paragraph describing what this agent does, who it's for, and when to activate it.MIT
Agent OrchestratorCoordinate multiple AI agents and skills for complex workflows
Agent Skill
Agent_2_DB_skill
agent_skill
AGENT_SKILL
agent-ai-engineerExpert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
agent-api-integration-skill
agent-assistant|
agent-assistant-ask-fast⚡ Quick Answer — Direct response from codebase context. Use when user types /ask:fast.
agent-assistant-cook🍳 Cook Router — Route to feature implementation workflows. Use when user types /cook.
agent-assistant-cook-hard⚡⚡⚡ Full Feature — Complete feature development lifecycle. Use when user types /cook:hard.
agent-assistant-debug-fast⚡ Quick Debug — Fast diagnosis for simple bugs. Use when user types /debug:fast.
agent-assistant-debug-hard⚡⚡⚡ Full Debug — Deep investigation for complex issues. Use when user types /debug:hard.
agent-assistant-debug-team🔺 Team Debug — Golden Triangle adversarial collaboration. Use when user types /debug:team.
agent-assistant-design-fast⚡ Quick Design — Rapid component/UI design. Use when user types /design:fast.
agent-assistant-docs📝 Docs — Full documentation suite (all sub-commands sequentially). Use when user types /docs.
agent-assistant-plan📋 Plan Router — Route to planning workflows. Use when user types /plan.
agent-assistant-review-hard⚡⚡⚡ Full Review — Deep code analysis with architecture review. Use when user types /review:hard.
agent-bridge|
agent-bridge|
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-browserブラウザでの動作確認手順。Webページ・WebアプリのUI確認、フォーム入力、画面遷移のテストなど、ブラウザ操作が必要になったら必ず読むこと。Playwright等の代わりに agent-browser CLI を使用する。
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-browser|
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-browser-cliUse agent-browser-cli to perceive and control the supervised Chromium browser inside the sandbox, interact with pages, capture screenshots/PDFs, inspect cookies/CDP/network/console state, and troubleshoot only when needed.
agent-business-analystExpert business analyst specializing in requirements gathering, process improvement, and data-driven decision making. Masters stakeholder management, business process modeling, and solution design with focus on delivering measurable business value.
agent-channeltalkInteract with Channel Talk using extracted desktop app credentials - read chats, send messages, search messages, manage groups
agent-ciRun GitHub Actions workflows locally with pause-on-failure for AI-agent-driven CI iterationMIT
agent-cliAdd agent-friendly --json NDJSON output to Python CLI scripts, or scaffold a complete cli_utils package for a project. Use this skill when the user wants to make scripts machine-readable for AI agents, add --json flags, convert print statements to structured JSON, build a CLI helper library, create an open-source CLI-for-agents package, add structured logging, or make CLI output machine-readable. Also use when the user mentions NDJSON, structured CLI output, agent-friendly CLI, non-interactive scripts, or JSON I/O for automation.
agent-code-reviewerExpert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
agent-collective-intelligence-coordinatorAgent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
agent-commsManage cross-agent communication in this repo; use when asked to read or write AGENTS_CONVERSATION.MD, follow AGENT_COMMUNICATION_RULES.md, respond to task handoffs, draft comms replies, or archive resolved threads.
agent-communicationUse fmail for agent-to-agent messaging with team conventions.
agent-context-isolationAgent Context Isolation
agent-context-loaderExecute proactive auto-loading: automatically detects and loads agents.mdMIT
agent-context-loader|MIT
agent-context-managerExpert context manager specializing in information storage, retrieval, and synchronization across multi-agent systems. Masters state management, version control, and data lifecycle with focus on ensuring consistency, accessibility, and performance at scale.
agent-context-systemA persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.MIT
agent-cpp-proExpert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.
agent-creatorCreate Claude Code CLI agents (subagents) following best practices - proper Task tool configuration, agent specialization, workflow integration, and RAG-enhanced knowledge bases
agent-creatorCreate production-grade agent .md files aligned with the Anthropic 2026MIT
agent-creditBorrow from Aave via credit delegation. Agent self-funds by borrowing against delegator collateral. Supports borrow, repay, health checks. Works on Aave V2/V3.
agent-csharp-developerExpert C# developer specializing in modern .NET development, ASP.NET Core, and cloud-native applications. Masters C# 12 features, Blazor, and cross-platform development with emphasis on performance and clean architecture.
agent-data-engineerExpert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
agent-data-researcherExpert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).MIT
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-developmentThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.Apache-2.0
agent-developmentThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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-devops-engineerExpert DevOps engineer bridging development and operations with comprehensive automation, monitoring, and infrastructure management. Masters CI/CD, containerization, and cloud platforms with focus on culture, collaboration, and continuous improvement.
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-external-retriever-skill
agent-formatStandard formatting for agent messages. Visual hierarchy, status indicators, progress bars — scannable on Telegram, Discord, Slack, WhatsApp. The baseline for readable agent output.
agent-framework-azure-ai-pyAgent Framework Azure Hosted Agents workflow skill. Use this skill when the user needs Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
agent-framework-azure-ai-pyBuild persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agent-framework-azure-ai-pyBuild persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agent-git-workflow-managerExpert Git workflow manager specializing in branching strategies, automation, and team collaboration. Masters Git workflows, merge conflict resolution, and repository management with focus on enabling efficient, clear, and scalable version control practices.
agent-golang-proExpert Go developer specializing in high-performance systems, concurrent programming, and cloud-native microservices. Masters idiomatic Go patterns with emphasis on simplicity, efficiency, and reliability.
agent-governance|
agent-governance|
agent-governance|
agent-grounding-reviewerThe skeptic. Reviews a feature spec against the project's actual technical context and existing features. Flags contradictions, impossible claims, and overlaps with severity (blocking or advisory). Does not rewrite the spec.
agent-grounding-reviewerThe skeptic. Reviews a feature spec against the project's actual technical context and existing features. Flags contradictions, impossible claims, and overlaps with severity (blocking or advisory). Does not rewrite the spec.
agent-grounding-reviewerThe skeptic. Reviews a feature spec against the project's actual technical context and existing features. Flags contradictions, impossible claims, and overlaps with severity (blocking or advisory). Does not rewrite the spec.
agent-handoff-summarySummarize active agent panes from host-managed pane slots: what each lane is doing, waiting on, and needs from Ian.
agent-harness-constructionDesign and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
agent-identityRegister and manage on-chain AI agent identity via ERC-8004.
agent-integratorUse this skill to create or update the root AGENTS.md file to register AgenticDev skills for AI agent discovery. Triggers include "register AgenticDev", "update AGENTS.md", "setup agent guide", or initializing a new project.
agent-invocationAgent invocation syntax and boundary rules
agent-legacy-modernizerExpert legacy system modernizer specializing in incremental migration strategies and risk-free modernization. Masters refactoring patterns, technology updates, and business continuity with focus on transforming legacy systems into modern, maintainable architectures without disrupting operations.
agent-legal-advisorExpert legal advisor specializing in technology law, compliance, and risk mitigation. Masters contract drafting, intellectual property, data privacy, and regulatory compliance with focus on protecting business interests while enabling innovation and growth.
agent-logging-standardProduction-grade logging standards for AI agents writing maintainable, ops-friendly code. Covers log levels, structured patterns, health monitoring, error handling, and security compliance. Use when writing or reviewing any code that produces logs.
agent-managementUse PROACTIVELY this agent when you need to design and create optimal Claude Code subagents, update existing agents with new capabilities, revise agent configurations, analyze project requirements to identify specialized roles, or craft precise agent configurations with appropriate tool permissions and model tiers. When the user specify "Create or Update subagent [name]", this skill must be triggered.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-mcp-developerExpert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.
agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-systemsMemory is the cornerstone of intelligent agents. Without it, every
agent-memory-systemsMemory is the cornerstone of intelligent agents. Without it, every
agent-memory-systemsMemory is the cornerstone of intelligent agents. Without it, every
agent-migration-planAgent skill for migration-plan - invoke with $agent-migration-plan
agent-ml-engineerExpert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
agent-orchestration-improve-agentSystematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agent-orchestration-improve-agentSystematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agent-orchestration-multi-agent-optimizeOptimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
agent-orchestration-multi-agent-optimizeOptimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
agent-orchestrator`.agent/agents/` のエージェント定義を入口に、タスクを調査・計画・実装・レビュー・検証へ分担するスキル。ユーザーが「エージェント」「マルチエージェント」「orchestrator」「役割分担」「複数担当」などを求めたとき、または大きな変更で担当境界を決める必要があるときに使う。
agent-orchestratorMeta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestratorMeta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-os-operationsOperate Docker, Portainer, Tailscale-private services, GitHub MCP, and audit-controlled infrastructure tasks.
agent-owasp-compliance|
agent-owasp-compliance|
agent-patternsExecute this skill should be used when the user asks about "SPAWN REQUESTMIT
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-performance-monitorExpert performance monitor specializing in system-wide metrics collection, analysis, and optimization. Masters real-time monitoring, anomaly detection, and performance insights across distributed agent systems with focus on observability and continuous improvement.
agent-promptReference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.
agent-promptReference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.
agent-promptReference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.
agent-prompt-engineerExpert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.MIT
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.MIT
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.MIT
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formatsMIT
agent-raft-managerAgent skill for raft-manager - invoke with $agent-raft-manager
agent-rails-expertExpert Rails specialist mastering Rails 7+ with modern conventions. Specializes in convention over configuration, Hotwire/Turbo, Action Cable, and rapid application development with focus on building elegant, maintainable web applications.
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-safla-neuralAgent skill for safla-neural - invoke with $agent-safla-neural
agent-sales-engineerExpert sales engineer specializing in technical pre-sales, solution architecture, and proof of concepts. Masters technical demonstrations, competitive positioning, and translating complex technology into business value for prospects and customers.
agent-sample-creatingGuide for creating samples by GitHub Copilot. Use this when instructed to create samples.
agent-scorerGenerate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.
agent-search-specialistExpert search specialist mastering advanced information retrieval, query optimization, and knowledge discovery. Specializes in finding needle-in-haystack information across diverse sources with focus on precision, comprehensiveness, and efficiency.
agent-security-auditorExpert security auditor specializing in comprehensive security assessments, compliance validation, and risk management. Masters security frameworks, audit methodologies, and compliance standards with focus on identifying vulnerabilities and ensuring regulatory adherence.
agent-sessions-layoutAgents workbench layout — covers the fixed layout structure, grid configuration, part visibility, editor modal, titlebar, sidebar footer, and implementation requirements. Use when implementing features or fixing issues in the Agents workbench layout.
agent-skill
agent-skill
agent-skillHow the trx agent skill works with Claude Code for post-processing.
agent-skill
agent-skill
agent-skillAdd LiteParse as a skill for coding agents like Claude Code, Cursor, and others.
agent-skill
agent-skill
agent-skill
agent-skill
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-skillsAdd dynamic skills to orxhestra agents. Covers Skill, InMemorySkillStore, and skill discovery/loading tools.
agent-sona-learning-optimizerAgent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
agent-specSpecify an autonomous or tool-using AI agent before building it. Use when asked to design an AI agent, define an agent's tools and guardrails, scope what an agent is allowed to do, or write an agent spec/PRD. Produces an agent spec — goal & scope, tools with permissions, the control loop, guardrails & approval gates, memory, escalation/handoff, evaluation, and failure handling.
agent-spec-estimate|
agent-squadMain agent orchestrator that coordinates a specialized squad of agents
agent-squadMain agent orchestrator that coordinates a specialized squad of agents
agent-squadMain agent orchestrator that coordinates a specialized squad of agents
agent-supply-chain|
agent-supply-chain|
agent-team-designUse when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.
agent-teams-playbook|
agent-tool-builderTools are how AI agents interact with the world. A well-designed
agent-tool-builderTools are how AI agents interact with the world. A well-designed
agent-toolsRun 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
agent-tower-pluginMulti-agent deliberation for Claude Code - orchestrate AI coding assistants (Claude, Codex, Gemini) for council, debate, and consensus workflows
agent-trajectory-diagnostics>
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'.
agent-trend-analystExpert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight. Masters trend detection, impact analysis, and scenario planning with focus on helping organizations anticipate and adapt to change.
agent-trend-analystExpert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight. Masters trend detection, impact analysis, and scenario planning with focus on helping organizations anticipate and adapt to change.
agent-tui>
agent-tui>
agent-tui>
agent-typescript-proExpert TypeScript developer specializing in advanced type system usage, full-stack development, and build optimization. Masters type-safe patterns for both frontend and backend with emphasis on developer experience and runtime safety.
agent-websocket-engineerReal-time communication specialist implementing scalable WebSocket architectures. Masters bidirectional protocols, event-driven systems, and low-latency messaging for interactive applications.
agent-websocket-engineerReal-time communication specialist implementing scalable WebSocket architectures. Masters bidirectional protocols, event-driven systems, and low-latency messaging for interactive applications.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.MIT
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agent-writerProduces a document, spec, or structured text output given a clear brief. Covers technical docs, product specs, ADRs, incident summaries, READMEs, and similar structured writing.
agent-writerProduces a document, spec, or structured text output given a clear brief. Covers technical docs, product specs, ADRs, incident summaries, READMEs, and similar structured writing.
agent-writerProduces a document, spec, or structured text output given a clear brief. Covers technical docs, product specs, ADRs, incident summaries, READMEs, and similar structured writing.
agent-zhihu让 OpenClaw Agent 参与 Agent-Zhihu 社区讨论（提问、回答、投票）
Agent: Gemini_Collaborator_01gemini collaborator 01
agentboxAgentBox VM operating instructions: services, config, x402 payments, skill updates, troubleshooting. Load this at the start of every session.
agentchatReal-time agent-to-agent communication via the AgentChat WebSocket protocol. Connect to AgentChat servers, join channels, send and receive messages, and coordinate with other agents.
AgentDB Learning PluginsCreate and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
AgentDB Memory PatternsImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
agentdb-vector-search-optimizationAgentDB Vector Search Optimization operates on 3 fundamental principles:
agentdp-guestctlUse inside agentdp guests to manage GitHub PR event notification registrations/subscriptions and inspect guest helper health.
agentexpoAgentExpo concierge — register your AI agent, find matches, run A2A conversations, close deals in USDC, and get a recap. Built for ETHGlobal Cannes 2026.
agentflowOrchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.
agentfolioDiscover and register autonomous AI agents. Use when: browsing the agent registry, submitting an agent for verification, or embedding agent badges. NOT for: general web search or agent capability analysis.
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentfolioSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentforge-mcp-integrationWork on MCP support in AgentForge, including MCP client/server abstractions, connection management, dynamic tools, and useful external MCPs.
agentforge-template-syncKeep template-backed files aligned across canonical template, dist template, and local convex copies.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.MIT
agentic-actions-auditor>
agentic-actions-auditor>
agentic-architecture|
agentic-browser-automation
agentic-eval|
agentic-eval|
agentic-importImport external reusable assets into this repository's v0.2 plugin architecture (skills, templates, agents).
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.
agentic-layer-auditAudit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
agentic-marketing-intelligence>-
agentic-mcpAgentic MCP - Three-layer progressive disclosure for MCP servers with Socket daemon. Use when the user needs to interact with MCP servers, query available tools, call MCP tools, or manage the MCP daemon process. Provides socket-based communication for efficient server interaction with three-layer progressive disclosure API.
agentic-mcp-server-builderScaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
agentic-mcp-server-builderScaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
agentic-rag-architect
agentic-workflowsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.
agentic-xpAI-powered DeFi agent on Abstract L2 enabling swaps, transfers, DCA, and portfolio management via natural language commands.
agentkitWorld AgentKit verification flow. Use when the user wants to test AgentKit access, verify a human-backed agent, or mentions agentkit_verify.
agentmailEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
agentmailEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
agentmailEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
agentnote-releasePrepare and publish Agent Note releases with the repo-local Markdown workflow, including version bump validation, release note preview, tag creation, workflow monitoring, and npm/GitHub verification.
agentpay-sdkInstall and operate the AgentPay SDK. Trigger this when an agent needs to install `agentpay`, explain AgentPay SDK capabilities without probing the machine first, bind Link for Fiat card payments, set up or reuse a Crypto wallet, check funding, generate funding instructions or a QR, guide the user through policy changes in the TUI or exact admin CLI when explicitly requested, route manual approvals to the local admin approval commands, execute transfers, approvals, or broadcasts using the current CLI behavior instead of stale examples, or use supported plugin-backed merchant payment flows when explicitly relevant.
agentphoneALWAYS use this when the request matches Agentphone: Build AI phone agents with AgentPhone API.
agentphoneBuild AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.
agentphoneBuild AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.
agentphoneBuild AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.
agentsList all available agents (core + expert)
agentsAgent management — view, create, edit, and delete specialized AI agents with per-agent model, provider, tools, and skills
agents-mdThis skill should be used when the user asks to \\\\\"create AGENTS.md\\\\\", \\\\\"update AGENTS.md\\\\\", \\\\\"maintain agent docs\\\\\", \\\\\"set up CLAUDE.md\\\\\", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdAGENTS.md 거버넌스 시스템을 분석·생성하는 마스터 프롬프트. 현재 프로젝트를 분석하여 루트 AGENTS.md와 하위 AGENTS.md를 즉시 생성하고, CLAUDE.md에 @AGENTS.md 링크를 추가한다. "AGENTS.md 만들어줘", "에이전트 규칙 만들어줘", "/agents-md" 호출 시 반드시 실행하라.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-mdCreate or refactor AGENTS.md and linked instruction docs using progressive disclosure. Use when the user wants repo-specific agent guidance organized, deduplicated, or routed cleanly, not ordinary product documentation edits.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-mdThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
agents-md-creator|
agents-md-improverKeeps repo-local agent instructions consistent by proposing updates to AGENTS.md when a user corrects the coding agent or asks to change AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or GEMINI.md.MIT
agents-meet-rlTroubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward not moving, eval flat, KL/entropy/length blow-ups, retokenization drift, tool-call parse failures, credit assignment, async-rollout staleness, judge inconsistency, benchmark contamination, pass@k vs pass@1; choices about ablation, baseline, framework, algorithm, reward, or data curation; user names GRPO, PPO, DAPO, veRL, OpenRLHF, slime, AReaL, RAGEN, or similar. SKIP: generic supervised LLM fine-tuning with no RL component; classical RL theory or tabular RL; non-LLM agents. Distilled from the AgentsMeetRL awesome list, snapshot 2026-06-20.
agents-shipgateRun prominent Agents Shipgate flows when a change touches what an AI agent can do: `shipgate check`, `shipgate verify`, or `shipgate audit --host`. Use after adding or modifying MCP servers or tools, tool/function definitions (@tool, @function_tool), OpenAPI specs that describe agent tools, agent prompts, permission scopes, approval or confirmation policies, agent CI workflows, or shipgate.yaml — and before creating a PR for any such change. Also use to verify agent-related PRs, fix or triage Shipgate findings, add Shipgate to CI, or interpret Shipgate verifier/report artifacts. Triggers on phrases like "add shipgate", "verify this agent PR", "merge verdict", "release readiness for my agent", "tool-use readiness", "shipgate check", "shipgate verify", "audit host grants", "shipgate.yaml", "agents-shipgate-reports/verifier.json", "agents-shipgate-reports/report.json", "fix shipgate finding".
agents-to-im|
agents-v2-pyBuild container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
agents-v2-pyBuild container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
agents-v2-pyBuild container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
agents.skill
agentskill
agentskillRepresents a distinct capability or function that an agent can perform.
AgentSkill
agentsociety-create-datasetUse when packaging, validating, or publishing a dataset to the AgentSociety platform for later sharing or reuse.
agenttrace-session-auditAudit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.MIT
agenttrace-session-auditAudit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.MIT
agentuity-cli-auth-apikeyDisplay the API key for the currently authenticated user. Requires authentication. Use for managing authentication credentialsApache-2.0
agentuity-cli-auth-logoutLogout of the Agentuity Cloud Platform. Use for managing authentication credentialsApache-2.0
agentuity-cli-auth-ssh-listList all SSH keys on your account. Requires authentication. Use for managing authentication credentialsApache-2.0
agentuity-cli-buildBuild Agentuity application for deploymentApache-2.0
agentuity-cli-cloud-agent-getGet details about a specific agent. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-agent-listList agents for a project. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-agent-listList agents for a project. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-apikey-createCreate a new API key. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-deployment-listList deployments. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-deployment-listList deployments. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-env-getGet an environment variable value. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-env-importImport environment variables from a file to cloud and local .env. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-env-importImport environment variables from a file to cloud and local .env. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-env-listList all environment variables. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-keyvalue-list-namespacesList all keyvalue namespaces. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-keyvalue-list-namespacesList all keyvalue namespaces. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-keyvalue-replStart an interactive repl for working with keyvalue database. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-keyvalue-statsGet statistics for keyvalue storage. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-queue-createCreate a new queue. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-queue-sources-deleteDelete a source from a queue. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-queue-statsView queue analytics and statistics. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-region-unselectClear the default region preference. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-sandbox-envSet or delete environment variables on a sandbox. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-sandbox-execExecute a command in a running sandbox. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-sandbox-snapshot-getGet snapshot details. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-scp-uploadUpload a file using security copy. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-secret-pullPull secrets from cloud to local .env file. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-secret-setSet a secret. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-storage-getShow details about a specific storage bucket. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-storage-listList storage resources or files in a bucket. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-stream-deleteDelete a stream by ID (soft delete). Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-thread-deleteDelete a thread. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-vector-deleteDelete one or more vectors by key. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-vector-getGet a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-vector-searchSearch for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-cloud-vector-statsGet statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0
agentuity-cli-git-account-listList GitHub accounts connected to your organizations. Requires authenticationApache-2.0
agentuity-cli-git-listList GitHub repositories accessible to your organization. Requires authenticationApache-2.0
agentuity-cli-git-statusShow GitHub connection status for current project. Requires authenticationApache-2.0
agentuity-cli-profile-createCreate a new configuration profileApache-2.0
agentuity-cli-profile-currentShow the name of the currently active profileApache-2.0
agentuity-cli-project-listList all projects. Requires authentication. Use for project management operationsApache-2.0
agentuity-cli-upgradeUpgrade the CLI to the latest versionApache-2.0
agentvmExecute shell commands in a secure AgentVM sandbox (Alpine Linux).
agile-coordinatorOrchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.MIT
agnxi-searchThe official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills.
agoragenticAgent OS for deployed agents and swarms. Use this skill to deploy through Agent OS, export Micro ECF harness packets, or call execute(task, input) to route and settle paid work in USDC on Base L2.
ahu-psychroPsychrometric Analysis Agent
AI PilotAutonomous development agent for Astro 6 projects. Handles end-to-end feature implementation with minimal human intervention.
AI_AGENT_SKILL
ai-agent-builder
ai-agent-developmentAI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
ai-agent-developmentAI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
ai-agent-developmentAI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
ai-agent-orchestratorOrchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
ai-agentsProduction-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, and observability (modern best practices)
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectI build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.
ai-agents-architectI build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool
ai-agents-architectExpert in designing and building autonomous AI agents. Masters tool
ai-bybit-trade🤖 Train your own AI agent to trade crypto 24/7 on Bybit. Free skill for OpenClaw.
ai-dev-tools-sync[AI & Tools] Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly. Use when asked to update Claude Code setup, update Copilot setup, sync AI dev tools, add new skills/prompts/agents across both platforms, or ensure Claude and Copilot configurations are aligned. Covers skills, prompts, agents, instructions, workflows, and chat modes.
ai-econ-finance-research-handbookUse this when helping economics or finance scholars use AI for research workflows, including learning core concepts, choosing copy-ready skills, setting up Git/GitHub/agents, checking sources and datasets, drafting or auditing empirical methods, reviewing papers, building slides, teaching workshops, or finding safe data/resource paths. Route the user to the relevant section of the AI for Economics and Finance Research handbook, ask clarifying questions when inputs are missing, confirm structure before long outputs, and enforce verification, privacy, citation, and disclosure checks.
ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
ai-engineering-toolkit6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
ai-engineering-toolkit6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
ai-mlAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
ai-mlAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
ai-mlAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
ai-native-cliDesign spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description. Use when you need help with ai native cli.CC-BY-NC-SA-4.0
ai-native-cliDesign spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description.
ai-native-cliDesign spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description.
ai-readyMake any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
ai-ready**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, skills, CI workflows, issue templates. WHEN: \"make this repo ai-ready\", \"set up AI config\", \"add copilot instructions\", \"prepare this repo for AI contributions\", \"generate AGENTS.md\". INVOKES: glob, grep, view, create, edit for repo analysis and file generation. FOR SINGLE OPERATIONS: use create/edit directly for individual config files.MIT
ai-readyAI-ready repo — AGENTS.md, copilot-instructions.md, CI workflows, issue templates
ai-red-teamingProactively attack your own AI and agent system to find failures before adversaries, scoring attack-success-rate and gating CI on it.
ai-sdk-integrationIntegrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.MIT
ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.MIT
ai-securityUse when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
ai-team-orchestrationBootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.
aiagent-verify-moduleVerify module completion with AI evaluation. Use when the user wants to check if a module (e.g. module 1) was completed successfully after finishing lessons.
aidd-upskillCreate and review AIDD skills following the AgentSkills.io specification and SudoLang authoring patterns.
aidd-upskillCreate and review AIDD skills following the AgentSkills.io specification and SudoLang authoring patterns.
ainativeaiUse when planning, scoping, estimating, reviewing, or redesigning a product, full-product build, AI app, agent, automation, workflow, or technical route where the final target must be preserved and only traditional intermediate steps should be compressed with AI-native execution.
airlift-migrateAirlift the current Codex session to Claude Code using the Agent Airlift migration pipeline. Use when the user says /airlift-migrate or asks to hand off this session to Claude Code.
ako4allDrive an agentic loop that iteratively optimizes a GPU kernel for maximum speedup. Use this skill whenever the user wants to optimize / speed up / benchmark a GPU kernel (CUDA, Triton, TileLang, C++, Python), mentions AKO / AKO4ALL / AKO4X / agentic kernel optimization, asks to "make this kernel faster", or has a kernel they want measured against a PyTorch reference. The skill handles setup, profiling (ncu), correctness checking, iteration logging, and git commits. Bootstraps a workspace in any directory the user points at.
alfworld-appliance-preparerPrepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state. Use when the agent needs to heat, cool, or cook an item and must first open or close the appliance before placing an object inside. Takes an appliance identifier as input and outputs a confirmation that the appliance is ready for the next action.
alfworld-object-disposerThis skill disposes of an object by placing it into a disposal receptacle like a garbage can. It should be triggered when the task requires discarding an object (e.g., 'put it in garbagecan') and the agent is at the disposal location with the object in hand. The skill executes the 'put' action to place the object in/on the target receptacle, completing the disposal subtask.
alfworld-open-receptacleThis skill opens a closed receptacle to access its contents. It should be triggered when an agent needs to interact with items inside a closed container (e.g., fridge, microwave, drawer). The skill takes a receptacle identifier as input, performs the open action, and outputs the observation of the interior, enabling subsequent item retrieval or placement.
alienbase-agentSwap via Odos aggregator and farm ALB rewards on AlienBase DEX on Base network.
allow-agent-commandsAdd or change allowed commands in AI agent permission configs (OpenCode, Claude Code)
aluAgent Logic Unit for high-speed deterministic math. Trigger this for arithmetic, trigonometry, and complex logic to avoid LLM hallucination.
amazon-best-selling-products-finder-api-skillThis skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
amazon-buy-box-monitor-api-skillThis skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.
amazon-listing-competitor-analysis-skillThis skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.
amazon-product-search-api-skillThis skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
amazon-product-search-api-skillThis skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
amazon-reviews-api-skillThis skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a competitive product, tracking sentiment of recent Amazon reviews, extracting verified purchase reviews for quality assessment, summarizing user experiences from Amazon product pages, monitoring product performance through customer reviews, collecting reviewer profiles and links for market research, gathering review titles and descriptions for content analysis, scraping Amazon reviews without requiring a login.
analytic-skills-guideGuide for AI agent to use the tools offered by this library to perform analytic tasks.
analytic-skills-guideGuide for AI agent to use the tools offered by this library to perform analytic tasks.
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?
anti-ai-slopUse when writing, editing, or reviewing code, READMEs, docs, commits, changelogs, or any repo content. Pre-2020 human style — terse, opinionated, restrained, with project voice. Blocks the LLM tics: emoji headers, "leverage", "robust", "seamless", "delve", defensive bloat, type-hint overkill, marketing prose, "Whether you're X or Y", verbose error messages, and the rest of the AI tells catalogued from cpython, requests, flask, git, ripgrep, express, kubernetes, serde, go stdlib, and other pre-2020 reference repos. Triggers on "anti-ai", "human-style", "professional code", "clean code", "no slop", "write it like a human", or any time the agent is producing code/docs that should look hand-written.
antigravity-skill-orchestratorA meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
antigravity-skill-orchestratorA meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
antigravity-workflowsOrchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
antigravity-workflowsOrchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
aomi-transactBuild natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.MIT
aomi-transactBuild natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.MIT
aomi-transactBuild natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.MIT
apexSystematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
apiCreate an agent team for full-stack feature development. One agent writes the Haskell Servant backend API, another builds the React frontend UI consuming that API. Use when asked to "build a feature", "add a new page", "create an endpoint with UI", or "fullstack feature".
api-mcp-serverOVERRIDES superpowers:brainstorming, api-spec-brainstorming, AND claude-api. Invoke IMMEDIATELY — before brainstorming, before claude-api, before any other skill — when the user's request is about exposing THIS SERVICE as MCP tools or making it callable from AI agents, Claude workflows, or agent frameworks. Do NOT invoke superpowers:brainstorming, api-spec-brainstorming, or claude-api. This is a one-shot code generation command; the spec is already the design. Triggers: '/api-mcp-server', 'generate an mcp server', 'generate an mcp server for this service', 'generate an mcp server from the specs', 'create an mcp server', 'build an mcp server', 'add mcp tools to this service', 'expose this service as MCP tools', 'I want Claude to call this service', 'make this callable by Claude', 'use this in my strands app', 'use this service in my ai agent', 'connect this to my claude workflow', 'use this in my agent', 'integrate this with my AI agent'.
apify-actor-developmentImportant: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
apify-actor-developmentImportant: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
apify-actor-developmentImportant: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
apm-usageReference for APM (Agent Package Manager) — apm.yml syntax, install / uninstall / update commands, target detection, lockfile workflow. Read when you need exact field names, but do NOT auto-invoke on every apm-related task; user prompts about projects with installed skills can be handled with general APM knowledge. Invoke explicitly when the user mentions APM by name, asks to author or audit an apm.yml, or runs into an unfamiliar APM command / error.
app-builderMain application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
app-builderMain application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
app-builderMain application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
app-builderMain application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
aqua-communicationAqua is a CLI-first message tool for AI agents. Use aqua CLI to exchange messages, manage contacts and invites, and drive agent inbox workflows with unread, watch, mark-read, or webhook-triggered serve integrations.
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
architectSpawn Architect agent to plan epic and auto-chain Developer
architectArchitect agentを起動してアーキテクチャレビュー・設計・ADR作成を行う。ユーザーが「設計を見てほしい」「アーキテクチャを考えたい」「技術選定をしたい」「ADRを書きたい」と言った場合に使用する。
architect-agentCoordinates planning, delegation, and evaluation across architect and code agent workspaces. Use when asked to "write instructions for code agent", "initialize architect workspace", "grade code agent work", "send instructions", or "verify code agent setup".
architectural-forensicsMaster protocol for deconstructing agent frameworks to inform derivative system architecture. Use when (1) analyzing an agent framework's codebase comprehensively, (2) comparing multiple frameworks to select best practices, (3) designing a new agent system based on prior art, (4) documenting architectural decisions with evidence, or (5) conducting technical due diligence on AI agent implementations. This skill orchestrates sub-skills for data substrate, execution engine, cognitive architecture, and synthesis phases.
argumentation-frameworkA specialized skill that systematically provides the Toulmin argument model, evidence type classification, and rebuttal strategies for debate argumentation. Used by pro-debater and con-debater agents to construct robust arguments and effectively rebut opposing claims. Automatically applied in contexts such as 'argumentation structure', 'Toulmin model', 'argument construction', 'rebuttal strategy', 'evidence types', 'argument strengthening'. However, legal advocacy and academic paper argumentation structure are outside the scope of this skill.
arize-instrumentationAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
arize-instrumentationINVOKE THIS SKILL when adding Arize AX tracing to an application. Follow the Agent-Assisted Tracing two-phase flow: analyze the codebase (read-only), then implement instrumentation after user confirmation. When the app uses LLM tool/function calling, add manual CHAIN + TOOL spans so traces show each tool's input and output. Leverages https://arize.com/docs/ax/alyx/tracing-assistant and https://arize.com/docs/PROMPT.md.
arpcSend and receive messages to other AI agents over the Agent Relay Protocol (ARP). Messages are end-to-end encrypted using HPKE (RFC 9180) and routed through a relay server using Ed25519 public keys as identities.MIT
arya-model-routerToken-saver router: elige modelo (cheap/default/pro) y usa sub-agentes para tareas pesadas. Incluye compresión/briefing opcional.
ask-heurist-agentCrypto Q&A research agent for token analysis, market trends, trading strategies, and macro news.
askhumanHuman Judgment as a Service for AI agents. Preference, tone, and trust validated by real people.
askhumanHuman Judgment as a Service for AI agents. Preference, tone, and trust validated by real people.
assemble-communication-runtimeAssemble deterministic communication runtimes from reusable audience, template, and activity capabilities. Covers runtime workflow composition, internal data contracts, candidate generation, scoring, allocation, outputs, and runtime validation. Use when building or refactoring communication runtimes, workflow assembly agents, or end-to-end channel services.
assetaforgeAI agent specialized in tracking Real World Assets (RWA) tokenization and tokenized treasury yields on Base.
atlas-changelogMaintain per-repo and cross-repo changelogs — append structured entries after agent work. Use when asked to "log this change", "update changelog", "what changed", "change history".MIT
atlas-reportRender agent findings as a styled HTML report in the browser. Use when asked for "full report", "detailed report", "show in browser", or when CLI output exceeds the 40-line budget.MIT
ats-optimizerA specialized skill that provides resume keyword strategies and formatting guidelines for passing ATS (Applicant Tracking Systems). Used by the resume-writer agent to create ATS-friendly resumes and maximize JD matching rates. Automatically applied in contexts such as 'ATS optimization', 'resume keywords', 'JD matching', 'resume format', 'applicant tracking system', 'application pass rate', etc. Note: Directly accessing ATS software (Workday, Greenhouse) or handling actual recruitment processes is outside the scope of this skill.
au-sys-ops-bootstrapExecute SESSION_BOOTSTRAP — load all .agents canonical files, process all GATE_{{ref_id}} blocks, run ai-agent --help for namespace listing, verify CDR paths, and echo identity fields. Use when starting a new session, /bootstrap, run bootstrap, load doctrine, initialize agent.MIT
auditRun complete system health audit of DQIII8 — checks DB integrity, agent performance, pipeline connections, error log, and services. Produces a scored Markdown report.
audit-and-fixStructured audit-then-remediate workflow: investigate read-only, write findings to a research file, then apply fixes via cost-routed subagents. Use when the user asks to analyse / audit / review something and (potentially) fix the issues found. Enforces human-approval gates before editing and before committing.
audit-integrityShared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents.
audit-pluginPerforms a deep review of the Claude Code plugin, skill, or sub-agent defined in the current project against official best practices. Documents findings as GitHub issues and writes a prioritised fix plan to the project CLAUDE.md. Use when the user says audit this plugin, review this skill, check this agent, or audit addon.MIT
aurasightAdvanced NFT and Metaverse analytics agent scanning collections for wash trading and predicting floor price trends.
aurasight-nft-analyticsAdvanced NFT and Metaverse analytics agent that scans collections for wash trading, predicts floor prices, and evaluates virtual real estate value.
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
author-contributionsIdentify all files a specific author contributed to on a branch vs its upstream, tracing code through renames. Use when asked who edited what, what code an author contributed, or to audit authorship before a merge. This skill should be run as a subagent — it performs many git operations and returns a concise table.
auto-perf-optimizeRun agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
autogenAutoGen (Microsoft) — multi-agent conversation framework. Agent-to-agent chat, code generation & execution, tool use, group chat, and human-in-the-loop. Build collaborative AI systems with specialized agents.
autogoal-skillBeschreibung des /autogoal-Skills fuer zielgesteuertes Agenten-Modus — Aktivierung, Schleifenverhalten und Abbruchbedingungen.
autonomous-agent-patternsDesign patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
autonomous-agent-patternsDesign patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
autonomous-agentsAutonomous agents are AI systems that can independently decompose
autonomous-agentsAutonomous agents are AI systems that can independently decompose
autoresearchAutonomous ML research loop inspired by Karpathy's autoresearch. Agent modifies code, trains on single GPU, evaluates metric, keeps or discards, repeats indefinitely. Use when asked to "run autoresearch", "autonomous training loop", or "overnight experiments".
autoresearchAutonomous ML research loop inspired by Karpathy's autoresearch. Agent modifies code, trains on single GPU, evaluates metric, keeps or discards, repeats indefinitely. Use when asked to "run autoresearch", "autonomous training loop", or "overnight experiments".
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
autoreviewUse when running a structured closeout code review for local changes, branch diffs, commit diffs, final QA after non-trivial edits, second-model review, or an explicit autoreview request. Provides the project-local `.agents/skills/autoreview/scripts/autoreview` helper for bundle-driven advisory review.
autoskillObserve the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.MIT license
aws-github-oidc-scoped-roleOpenTofu/Terraform pattern for GitHub Actions OIDC trust with AWS IAM. Covers the non-obvious `job_workflow_ref` condition (vs just `sub` for repo+branch), the Bedrock inference profile ARN patterns, required `aws-marketplace` permissions alongside Bedrock, and the ReadOnlyAccess + explicit Deny pattern for AI agent roles. Use when wiring GitHub Actions to AWS via OIDC.
ax-extract-workflowReconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.AGPL-3.0-only
ax-extract-workflowReconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.AGPL-3.0-only
ax-go-agent-rlmUse when writing Go code with `github.com/ax-llm/ax/packages/go` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
azure-ai-agents-persistent-dotnetAzure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-agents-persistent-dotnetAzure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-agents-persistent-javaAzure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-agents-persistent-javaAzure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-projects-dotnetAzure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
azure-ai-projects-dotnetAzure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
azure-ai-projects-tsHigh-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
azure-ai-projects-tsHigh-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
azure-ai-projects-tsHigh-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
azure-pricingFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
azure-pricingFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption
azure-role-selectorWhen user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.
azure-role-selectorWhen user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.
azure-role-selectorWhen user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.
azure-role-selectorWhen user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role
b2b-sdr-agentAutonomous AI Sales Development Rep for B2B export — handles lead discovery, BANT qualification, multi-channel outreach (WhatsApp/Email/Telegram), CRM management, and deal pipeline tracking. Built for cross-border trade.MIT
babycai-agentAI trading agent executing crypto trades across multiple DEXes with NFT minting and floor price analysis.
babycai-dex-traderAI-powered trading agent executing crypto trades across multiple DEXes with NFT sniping capabilities.
backend-javaJava Developer Agent. Java/Spring Boot 기반 백엔드 개발을 담당합니다. Spring, JPA, Hibernate, Maven, Gradle 전문.
backend-seniorSenior Developer Agent. 기술 리더십, 아키텍처 의사결정, 코드 리뷰 리드, 멘토링을 담당합니다.
BackendDataAgentSpecialist in backend and data integration. Analyzes the impact on APIs, services, data models, validations, and persistence strategies to ensure consistency and correctness in the data layer.
background-agent-pingsBackground Agent Pings
backtest-analyzer-agentBacktest results interpreter and strategy evaluator. Analyzes historical backtest performance, identifies strengths/weaknesses, and provides actionable recommendations for strategy improvement.Proprietary
bagsBags - The Solana launchpad for humans and AI agents. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens for yourself, other agents, or humans.
Bankr Agent - PolymarketThis skill should be used when the user asks about "Polymarket", "prediction markets", "betting odds", "place a bet", "check odds", "market predictions", "what are the odds", "bet on election", "sports betting", or any prediction market operation. Provides guidance on searching markets, placing bets, and managing positions.

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