Python Agent Skills
There are 704 agent skills in our directory.
Agent skills related to python. We catalog 704 skills that mention python in their name or description.
Updated June 2026
- ableton-lomAbleton Live Object Model (LOM) API reference for Python Remote Scripts and control surface development.
- adaptyvHow to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.MIT
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.MIT
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
- 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-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.
- 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.
- alphasift自动选股 Skill。Use when: 用户要按策略筛选 A 股、列出可用策略、运行双低/放量突破等选股，或保存运行并做 T+N 后验评估。通过 alphasift CLI 或 Python 接口输出候选股票列表。
- alphasift自动选股 Skill。Use when: 用户要按策略筛选 A 股、列出可用策略、运行双低/放量突破等选股，或保存运行并做 T+N 后验评估。通过 alphasift CLI 或 Python 接口输出候选股票列表。
- amazon-ordersDownload and query your Amazon order history via an unofficial Python API and CLI.
- anth-install-authInstall and configure Anthropic Claude SDK authentication for PythonMIT
- anth-sdk-patternsApply production-ready Anthropic SDK patterns for TypeScript and Python.MIT
- 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.
- apschedulerAdvanced Python Scheduler - Task scheduling and job queue system
- arize-annotationCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.
- assemblyai-sdk-patternsApply production-ready AssemblyAI SDK patterns for TypeScript and Python.MIT
- astropyCore Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.licensed
- astropyAstropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.licensed
- astropyAstropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.licensed
- async-pythonPython async/await patterns with asyncio, concurrent.futures, threading, and multiprocessing. Covers async context managers, timeouts, cancellation, common pitfalls (blocking in async, missing await, event loop issues), and choosing between async/threading/multiprocessing. Use when writing async code, debugging async issues, choosing concurrency approaches, or testing async functions.
- async-python-patternsMaster Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
- async-python-patternsComprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
- async-python-patternsComprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
- async-python-patternsComprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
- async-python-patternsComprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
- async-python-patternsMaster Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.MIT
- async-python-patternsMaster Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
- auditing-python-dependencies|MIT
- 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
- aws-cdk-python-setupSetup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
- aws-cdk-python-setup
- aws-lambda-python-integrationProvides AWS Lambda integration patterns for Python with cold start optimization. Use when deploying Python functions to AWS Lambda, choosing between AWS Chalice and raw Python approaches, optimizing cold starts, configuring API Gateway or ALB integration, or implementing serverless Python applications. Triggers include "create lambda python", "deploy python lambda", "chalice lambda aws", "python lambda cold start", "aws lambda python performance", "python serverless framework".
- azure-ai-contentsafety-pyAzure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
- azure-ai-contentsafety-pyAzure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
- azure-ai-contentsafety-pyAzure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
- azure-ai-contentunderstanding-pyAzure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
- azure-ai-contentunderstanding-pyAzure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
- azure-ai-contentunderstanding-pyAzure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-pyAzure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
- azure-ai-ml-py-v2Azure Machine Learning SDK v2 for Python workflow skill. Use this skill when the user needs Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- azure-ai-transcription-pyAzure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
- azure-ai-transcription-pyAzure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
- azure-ai-transcription-pyAzure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
- azure-appconfiguration-pyAzure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.
- azure-appconfiguration-pyAzure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.
- azure-appconfiguration-pyAzure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.
- azure-containerregistry-pyAzure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.
- azure-containerregistry-pyAzure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.
- azure-cosmos-db-pyBuild Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
- azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-cosmos-pyAzure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
- azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
- azure-data-tables-pyAzure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventgrid-pyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
- azure-eventhub-pyAzure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.
- azure-eventhub-pyAzure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.
- azure-functionsExpert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js ...
- azure-identity-pyAzure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
- azure-identity-pyAzure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
- azure-identity-pyAzure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
- azure-identity-pyAzure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
- azure-keyvault-pyAzure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage.
- azure-keyvault-pyAzure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage.
- azure-messaging-webpubsubservice-pyAzure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.
- azure-messaging-webpubsubservice-pyAzure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.
- azure-messaging-webpubsubservice-pyAzure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.
- azure-mgmt-apicenter-pyAzure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
- azure-mgmt-apicenter-pyAzure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
- azure-mgmt-apimanagement-pyAzure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.
- azure-mgmt-apimanagement-pyAzure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.
- azure-mgmt-apimanagement-py-v2Azure API Management SDK for Python workflow skill. Use this skill when the user needs Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- azure-mgmt-botservice-pyAzure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources.
- azure-mgmt-botservice-pyAzure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources.
- azure-mgmt-botservice-pyAzure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources.
- azure-mgmt-fabric-pyAzure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
- azure-mgmt-fabric-pyAzure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
- azure-monitor-ingestion-pyAzure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.
- azure-monitor-ingestion-pyAzure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.
- azure-monitor-ingestion-pyAzure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.
- azure-monitor-opentelemetry-exporter-pyAzure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.
- azure-monitor-opentelemetry-exporter-pyAzure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.
- azure-monitor-opentelemetry-exporter-pyAzure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.
- azure-monitor-opentelemetry-pyAzure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.
- azure-monitor-opentelemetry-pyAzure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.
- azure-monitor-query-pyAzure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.
- azure-monitor-query-pyAzure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-search-documents-pyAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
- azure-servicebus-pyAzure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.
- azure-servicebus-pyAzure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.
- azure-servicebus-pyAzure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.
- azure-speech-to-text-rest-pyAzure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
- azure-speech-to-text-rest-pyAzure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
- azure-speech-to-text-rest-pyAzure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
- azure-storage-blob-pyAzure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.
- azure-storage-blob-pyAzure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- azure-storage-file-datalake-pyAzure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
- azure-storage-file-share-pyAzure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.
- azure-storage-file-share-pyAzure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.
- azure-storage-queue-pyAzure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
- azure-storage-queue-pyAzure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
- azure-storage-queue-pyAzure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
- bamboohr-sdk-patternsApply production-ready BambooHR API patterns for TypeScript and Python.MIT
- bandit-security-scanRun Bandit security analysis to find common security issues and vulnerabilities in Python code. Use when the user mentions Bandit, security analysis, vulnerability scanning, security audit, software composition analysis (SCA), or wants to check for security issues in Python code.
- beamer-pptCreate Beamer-style academic PPTX presentations using python-pptx. Produces publication-quality .pptx files with navy-blue Metropolis theme (16:9, frame title bars, progress bar) for conference talks, job market presentations, and seminar slides. Called by /present command.
- benchling-integrationBenchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.MIT
- bigquery-pipeline-auditAudits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
- biopythonComprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.licensed
- biopythonComprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.Unknown
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- biopythonBiopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.Unknown
- bioservicesUnified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.GPLv3 license
- blenderBlender 3D creation suite for modeling, animation, rendering, compositing, video editing, and game development. Use for 3D modeling, sculpting, animation, shading, rendering, simulation, video editing, and Python scripting.
- brightdata-sdk-patternsApply production-ready Bright Data SDK patterns for TypeScript and Python.MIT
- build-app-workflowUse when building, modifying, validating, or shipping software with long-running agents and you need repeatable execution via Skills + Shell + Compaction. Covers stage-gated workflow, script-driven verification, rollback discipline, and artifact-based delivery across tech stacks (Node/Python/Rust/Tauri and others).
- build-mcpbThis skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.Apache-2.0
- build-mcpbThis skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.
- burpsuite-extension-skillDevelop Burp Suite extensions in Java (Montoya API) or Python (Jython). Supports creating HTTP listeners, scanner checks, intruder payloads, UI tabs, and context menus. Includes project templates, multi-platform setup guides, and best practices.MIT
- business-growth-skills4 business growth agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Customer success (health scoring, churn), sales engineer (RFP), revenue operations (pipeline, GTM), contract & proposal writer. Python tools (stdlib-only).MIT
- cardputer-buddyIterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add an app", "push to the cardputer", "tail the device", "run on the device", or follow-up work after /maker-setup.Apache-2.0
- cardputer-buddyIterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add an app", "push to the cardputer", "tail the device", "run on the device", or follow-up work after /maker-setup.
- careercopilot-agent-scaffolderScaffolds a new Python agent for autonomous AI tasks in 'src/agents/'. Agents are autonomous components that handle complex operations (resume analysis, job matching, KSC generation). Use when asked to create a new AI agent or automation component.
- careercopilot-tool-creatorScaffolds a new Python tool utility in 'src/tools/' for agents to call. Tools are utility functions (web scraping, PDF parsing, database queries) that agents use. Use when creating utilities that agents depend on.
- cboxUse this skill when the user wants to convert any python function to unix-style command with argument parsing.
- cdk-patternsCommon AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.
- cdk-patternsCommon AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.
- cdk-patternsCommon AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.
- changelogUpdate CHANGELOG.md when the public API of the tapo (Rust), tapo-py (Python), or tapo-mcp (MCP) crates changes
- changelogUpdate CHANGELOG.md when the public API of the tapo (Rust), tapo-py (Python), or tapo-mcp (MCP) crates changes
- chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
- chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
- chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
- chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
- chaos-engineeringUse when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).MIT
- check-unreadSlack の未読メッセージを確認する。「Slack未読確認」「未読メッセージ」「未読ある？」「Slackの未読」「未読を見せて」「未読チェック」「未読メール確認」などで起動。Pythonスクリプト `slack_message.py unread` を使用。
- ck-refsFind textual references for a symbol in C#, TypeScript, Kotlin, and Python/TSX files within scoped folders or explicit paths.
- clari-sdk-patternsProduction-ready Clari API client patterns in Python and TypeScript.MIT
- class-designPython class design conventions for this codebase. Apply when writing or reviewing classes including interfaces, inheritance, composition, and attribute access.
- ClawCache FreeSmart LLM cost tracking and caching for PythonMIT
- ClawSkillShield 🛡️Pure Python. No network calls. Runs entirely locally.
- cli-tool-developmentBuild polished CLI tools with Typer, Rich TUI components, and Python packaging
- cloudbase-agentBuild and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).
- cloudbase-agent-pythonBuild production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming + OpenAI-compatible endpoints, add tools (bash, filesystem, MCP, code execution), memory (in-memory, TDAI, MySQL, MongoDB), observability (OpenTelemetry/Langfuse), and middleware (auth, logging). Use this skill when the user wants to create an AI agent server, build a chatbot backend, set up human-in-the-loop workflows, integrate MCP tools, add agent observability, or deploy an agent API — even if they don't explicitly mention 'CloudBase Agent.
- code-commenterAdd detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainability". Supports C++, Python, Java, JavaScript, Go, Rust, SQL.
- code-exemplars-blueprint-generatorTechnology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
- code-reviewerCode review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
- code-reviewerCode review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.MIT
- code-reviewerCode review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
- code-runnerExecute code in multiple programming languages. Use when the user asks to run, test, or debug code in Python, JavaScript, shell, or other languages.
- code-security-auditAI 驱动的生产级代码安全审计协议。面向企业内部授权审计，默认使用结构化 harness：项目画像、攻击面枚举、Sink/Control 双轨候选发现、验证队列、能力链、质量门、报告渲染和完整证据交付。支持 PHP、Java、C# / ASP.NET、Go、Python、JavaScript / TypeScript Node.js、Ruby、Rust、Kotlin、Deno/Bun，以及 JVM/.NET 编译产物反编译计划。用户说「开始审计 / 对 XXX 做安全审计 / 代码审计 / 安全扫描 / 找漏洞 / security audit / 红队审计」时触发。
- code-styleCode style guidelines for NeMo-RL (Python and shell). Covers naming, indentation, comments, docstrings, reflection avoidance, and uv usage. Auto-invoked during code review.
- codeactGenerate and execute code for acting with Python tools. Activate when user explicitly requests to "use the codeact skill" or similar phrases.
- codebase-analysisInvoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
- codebase-analysisInvoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
- codebase-analysisInvoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
- codebase-analysisInvoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
- coding-standard-pythonEnforce Python PEP 8 coding standards including snake_case variables, PascalCase classes, and snake_case filenames.
- cohere-sdk-patternsApply production-ready Cohere SDK patterns for TypeScript and Python.MIT
- comment-code-generate-a-tutorialTransform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
- comment-code-generate-a-tutorialTransform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
- connectorCreate, test, validate, and deploy Insight Connectors. Supports both nocode (declarative YAML) and CDK (Python) connector types. Commands: /connector create <name>, /connector test <name>, /connector schema <name>, /connector deploy <name>, /connector validate <name>.
- context-daddyContext management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
- context7-efficientToken-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
- copilot-sdkBuild applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
- copilot-sdkBuild applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
- copilot-sdkBuild applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
- course显示 python-office 库的使用教程、群组信息、源码地址等。当用户提到 python-office 介绍、查看课程、帮助信息、资源链接时使用。
- cp2077-address-hashTranslate Cyberpunk 2077 executable RVAs into address-hash entries by converting each RVA into the linker-map offset format `section_number:rva_from_base_of_section` and looking it up in `cyberpunk2077_addresses.json`. Use when Codex needs to resolve CP2077 function or symbol hashes from RVAs, compare disassembly addresses against the address-hash database, or automate lookups with the bundled Python script. Address hashes are used to keep executable offsets update-agnostic and can be used with `RED4ext::UniversalRelocFunc`.
- crate-prPython testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
- Create Strategy (LEAN)Use this skill when you need to add a new LEAN QCAlgorithm strategy in Python.
- Cross-Cutting ConcernsSystematic methodology for standardizing cross-cutting concerns (error handling, logging, configuration) through pattern extraction, convention definition, automated enforcement, and CI integration. Use when codebase has inconsistent error handling, ad-hoc logging, scattered configuration, need automated compliance enforcement, or preparing for team scaling. Provides 5 universal principles (detect before standardize, prioritize by value, infrastructure enables scale, context is king, automate enforcement), file tier prioritization framework (ROI-based classification), pattern extraction workflow, convention selection process, linter development guide. Validated with 60-75% faster error diagnosis (rich context), 16.7x ROI for high-value files, 80-90% transferability across languages (Go, Python, JavaScript, Rust). Three concerns addressed: error handling (sentinel errors, context preservation, wrapping), logging (structured logging, log levels), configuration (centralized config, validation, environment variables).
- csv-data-summarizerAnalyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
- customer-success-managerMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.MIT
- customer-success-managerMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.MIT
- customer-success-managerMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.MIT
- databricks-sdk-patternsApply production-ready Databricks SDK patterns for Python and REST API.MIT
- datamolPythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.licensed
- datamolPythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.licensed
- datasette-pluginsWriting Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI
- dataverse-python-advanced-patternsGenerate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
- dataverse-python-advanced-patternsGenerate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
- dataverse-python-production-codeGenerate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
- dataverse-python-production-codeGenerate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
- dataverse-python-production-codeGenerate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
- dataverse-python-quickstartGenerate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
- dataverse-python-quickstartGenerate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
- dataverse-python-quickstartGenerate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
- dataverse-python-usecase-builderGenerate complete solutions for specific Dataverse SDK use cases with architecture recommendations
- dataverse-python-usecase-builderGenerate complete solutions for specific Dataverse SDK use cases with architecture recommendations
- dataverse-python-usecase-builderGenerate complete solutions for specific Dataverse SDK use cases with architecture recommendations
- dataverse-python-usecase-builderGenerate complete solutions for specific Dataverse SDK use cases with architecture recommendations
- dbos-pythonGuide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control.
- dbos-pythonGuide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control.
- ddd-architectEnsure code follows DDD architecture and DAL separation for both frontend and backend. Triggers: DDD, arch, 架構, 新功能, 新模組, new feature, scaffold, 骨架, domain, layer, 分層, structure, 結構, backend, frontend, React, Vue, Python, TypeScript, 前端, 後端, component, 元件.
- deepgram-sdk-patternsApply production-ready Deepgram SDK patterns for TypeScript and Python.MIT
- deepthinkInvoke IMMEDIATELY via python script when user requests structured reasoning for open-ended analytical questions. Do NOT explore first - the script orchestrates the thinking workflow.
- deepthinkInvoke IMMEDIATELY via python script when user requests structured reasoning for open-ended analytical questions. Do NOT explore first - the script orchestrates the thinking workflow.
- deepthinkInvoke IMMEDIATELY via python script when user requests structured reasoning for open-ended analytical questions. Do NOT explore first - the script orchestrates the thinking workflow.
- deepthinkInvoke IMMEDIATELY via python script when user requests structured reasoning for open-ended analytical questions. Do NOT explore first - the script orchestrates the thinking workflow.
- defLocate symbol definitions quickly (precise for Python via AST; conservative candidates for other languages) and print a bounded context packet.
- deploying-to-railwayDeploy Python services to Railway with PostgreSQL/pgvector. Use when deploying web services, workers, or databases. Covers CLI workflow, variable linking, and multi-service patterns.
- design-doc-mermaidCreate Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.
- dev-containerSets up and manages the isaaclab_arena Docker container — the single environment used for Arena's development, testing, training, and evaluation. Use when the user asks to set up the dev environment, bootstrap the project, get started on a fresh clone, start developing, build or rebuild the image, start or attach to the container, or run any command inside it. Also covers ./docker/run_docker.sh flag combinations (-r rebuild, -R rebuild without cache, -d/-m/-e custom dataset/model/eval mounts), docker exec usage, and the /isaac-sim/python.sh aliasing.
- dev-expertsApply opinionated developer personas for architecture decisions, production debugging, language-specific code review, comprehensive reviewer passes, and test strategy. Use when you need an architect plan, devops investigation, Rust/Python/C++ review, grumpy reviewer audit, or tester-driven test plan. Triggers: architect, devops, rust-dev, python-dev, cpp-dev, reviewer, tester, pre-merge review, refactor for maintainability.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- devcontainer-setupCreates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
- development开发语言能力索引。Python、Go、Rust、TypeScript、Java、C++、Shell。当用户提到编程、开发、代码、语言时路由到此。MIT
- development开发语言能力索引。Python、Go、Rust、TypeScript、Java、C++、Shell。当用户提到编程、开发、代码、语言时路由到此。MIT
- dnanexus-integrationDNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.Unknown
- docUse when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
- docstring-format-enforcerEnforce and apply a consistent Python docstring style for methods and functions using the section order Intro, Examples, Args, Returns, and Notes. Use when creating or updating APIs, facades, mixins, services, contracts, or any code where docstrings must be machine-readable, example-driven, and strictly aligned with real method signatures.
- docstring-formatterConvert docstrings to NumPy/Sphinx style with proper Parameters, Returns, and Examples sections. This skill should be used when improving documentation quality across Python modules.
- documenso-sdk-patternsApply production-ready Documenso SDK patterns for TypeScript and Python.MIT
- docxWord document processing — reading, creating with python-docx, editing via XML manipulation, styles, tables, images, headers/footers, tracked changes.
- dummy-datasetGenerate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
- elevenlabs-install-authInstall and configure ElevenLabs SDK authentication for Node.js or Python.MIT
- elevenlabs-sdk-patternsApply production-ready ElevenLabs SDK patterns for TypeScript and Python.MIT
- engineering-skillsIndex of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle.MIT
- engineering-skillsIndex of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle.MIT
- engineering-skillsIndex of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle.MIT
- esmUse when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.MIT license
- estimate-memoryEstimate peak GPU memory for a DualPipeV training run. Use when the user asks to "estimate memory", "will this fit in memory", "how much GPU memory", "check if this OOMs", "memory for training X on Y GPUs", or mentions memory planning for a training configuration. Translates natural-language descriptions of hardware, model, and training setup into the exact CLI arguments for `python -m tools.memory_estimator`.
- fastapi-endpoint-generatorGenerate FastAPI endpoint files with Pydantic models, dependency injection, and async handlers. Triggers on "create fastapi endpoint", "generate fastapi router", "python API endpoint", "fastapi route".
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastapi-proBuild high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
- fastmcpBuild, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.MIT
- fathom-sdk-patternsProduction-ready Fathom API client patterns in Python and TypeScript.MIT
- feature-flags-architectUse when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.MIT
- feature-flags-architectUse when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.MIT
- feature-flags-architectUse when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.MIT
- feature-flags-architectUse when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.MIT
- feature-flags-architectUse when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.MIT
- ffi-pyo3-maturinBuild or modify the Rust↔Python FFI using PyO3+maturin. Use for binding builds, smoke tests, and boundary validation workflow.
- finance-skillsSkill de agente de analista financeiro para Claude Code. Análise de índices, avaliação DCF, variação orçamentária, previsões contínuas. 4 ferramentas Python (somente stdlib).MIT
- firecrawl-sdk-patternsApply production-ready Firecrawl SDK patterns for TypeScript and Python.MIT
- flaskA lightweight WSGI web application framework for Python that provides routing, templating, and request handling.BSD-3-Clause
- flet-validationUse whenever editing validation for Python controls in sdk/python/packages/: adding/changing constrained properties, `Raises: ValueError` docstrings, `before_update()` checks, `raise ValueError`, Annotated/V rules, or __validation_rules__.
- flexport-sdk-patternsApply production-ready Flexport API patterns for TypeScript and Python.MIT
- flowGoogle Flow AI CLI and Python SDK for generating videos and images with Veo 3.1, Imagen, and all editing features. Commands: flow video, flow image, flow extend, flow extend-loop, flow camera, flow camera-pos, flow insert, flow remove, flow upscale, flow credits, flow models, flow poll, flow download, flow batch-images, flow batch-videos.
- fluidsimFramework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.licensed
- folder-structure-blueprint-generatorComprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
- format-importsRewrite Python script's top level import statements to comply coding standard
- foundry-iq-agentBuild agentic retrieval solutions with Azure AI Search knowledge bases using Foundry Agent Service. See foundry-iq-python for the Python SDK implementation.
- framer-sdk-patternsApply production-ready Framer SDK patterns for TypeScript and Python.MIT
- framework-fastapi-expertUse when the user asks to work on a Python FastAPI project. Triggers on keywords Python, FastAPI, Pydantic, SQLAlchemy.
- freecad-scriptsExpert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.
- genesis太初有道，道生代码。从零搭建 React19+TailwindV4+Vite 前端、FastAPI Python 后端、Go Gin 后端、Taro 4.x 小程序。用户说"新建项目"、"初始化"、"从零开始"、"搭建项目"、"创建项目"、"生成落地页"、"生成官网"、"生成 Landing Page"、"动画提升"、"动效升级"、"新建小程序"、"创建小程序"、"Taro 项目"时触发。
- geomasterComprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.MIT License
- geopandasPython library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.licensed
- ggetFast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST/BLAT, viral sequence downloads, AlphaFold structures, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive exploration and simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.licensed
- google-workspaceGmail, Calendar, Drive, Contacts, Sheets, and Docs integration for Hermes. Uses Hermes-managed OAuth2 setup, prefers the Google Workspace CLI (`gws`) when available for broader API coverage, and falls back to the Python client libraries otherwise.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- gpt-tasteElite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
- grammarly-sdk-patternsApply production-ready Grammarly SDK patterns for TypeScript and Python.MIT
- groq-install-authInstall and configure Groq SDK authentication for TypeScript or Python.MIT
- groq-sdk-patternsApply production-ready Groq SDK patterns for TypeScript and Python.MIT
- gtarsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.Unknown
- hello_worldA fundamental skill that demonstrates the basic execution of a Python script. It serves as a "Hello, World!" example for the skill system, verifying that the environment is correctly set up and that the agent can execute scripts.MIT
- hex-sdk-patternsApply production-ready Hex SDK patterns for TypeScript and Python.MIT
- homebrew-publishPublish CLIs/TUIs to Homebrew via a personal tap. Use when asked to create or manage a Homebrew tap repo, generate or update formulae, compute sha256, test installs, or ship new releases for Go, Rust, Node/TypeScript, Python, or prebuilt binaries.
- hootsuite-sdk-patternsApply production-ready Hootsuite SDK patterns for TypeScript and Python.MIT
- hubspot-integrationExpert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.
- hugging-face-gradioBuild or edit Gradio apps, layouts, components, and chat interfaces in Python.
- hugging-face-gradioBuild or edit Gradio apps, layouts, components, and chat interfaces in Python.
- hugging-face-gradioBuild or edit Gradio apps, layouts, components, and chat interfaces in Python.
- hugging-face-trackioTrack ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.
- hugging-face-trackioTrack ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.
- ideogram-sdk-patternsApply production-ready Ideogram API patterns for TypeScript and Python.MIT
- infrastructure-orchestrationPython CLI and menu orchestration for pipeline runs — project slug validation, interactive picker, PipelineRunner wrapping PipelineExecutor, per-stage logs, secure pipeline wrapper. Use when extending run.sh behavior, fixing menu/CLI routing, or testing discovery helpers.
- internal-commsUse when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Pairs Prosci ADKAR and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points; industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Triggers on "all-hands announcement", "change comms", "rollout comms", "re-org announcement", "manager talking points", "layoff comms".MIT
- internal-commsUse when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Pairs Prosci ADKAR and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points; industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Triggers on "all-hands announcement", "change comms", "rollout comms", "re-org announcement", "manager talking points", "layoff comms".MIT
- internal-commsUse when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Pairs Prosci ADKAR and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points; industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Triggers on "all-hands announcement", "change comms", "rollout comms", "re-org announcement", "manager talking points", "layoff comms".MIT
- json-to-pydanticConverts JSON data snippets into Python Pydantic data models.
- json-to-pydanticConverts JSON data snippets into Python Pydantic data models.
- json-to-pydanticConverts JSON data snippets into Python Pydantic data models.
- json-to-pydanticConverts JSON data snippets into Python Pydantic data models.
- json-to-pydanticConverts JSON data snippets into Python Pydantic data models.
- knowledge-opsUse when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Ishikawa's 5W2H method, Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists (e.g., "validate this runbook before it goes into rotation", "audit our Confluence wiki for stale and orphaned SOPs").MIT
- knowledge-opsUse when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Ishikawa's 5W2H method, Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists (e.g., "validate this runbook before it goes into rotation", "audit our Confluence wiki for stale and orphaned SOPs").MIT
- knowledge-opsUse when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Ishikawa's 5W2H method, Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists (e.g., "validate this runbook before it goes into rotation", "audit our Confluence wiki for stale and orphaned SOPs").MIT
- kubernetes-operatorUse when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.MIT
- kubernetes-operatorUse when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.MIT
- kubernetes-operatorUse when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.MIT
- kubernetes-operatorUse when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.MIT
- kubernetes-operatorUse when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.MIT
- lang-pyPython development standards, PEP 8, Google Python Style, and tooling.
- langchain-dependenciesINVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
- langchain-performance-tuningTune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\MIT
- langchain-sdk-patternsCompose LangChain 1.0 Python runnables with the production defaultsMIT
- langchain-upgrade-migrationMigrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph\MIT
- langgraph-python-expertExpert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.
- linear-todosA CLI tool that executes Python source code to manage todos via Linear's API. Creates tasks with natural language dates, priorities, and scheduling. This is a source-execution skill - code in src/linear_todos/ runs when commands are invoked.
- ln-742-precommit-setupConfigures Husky, lint-staged, commitlint, and Python pre-commit
- lsp-mcp-serverUse whenever code navigation, analysis, refactoring, or diagnostics are needed on a project that has a Language Server Protocol implementation. Covers all 29 lsp_* MCP tools exposed by lsp-mcp-server (TypeScript, Python, Rust, Go, C/C++, Ruby, PHP, Elixir, Kotlin, Java, and any user-configured language). Use it instead of grep/find/Read for ANY task that touches definitions, references, types, hover docs, completions, diagnostics, rename, code actions, call/type hierarchy, document/workspace symbols, document highlights, inlay hints, selection ranges, folding ranges, or batch file indexing.
- m365-agents-pyMicrosoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
- m365-agents-pyMicrosoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
- m4-apiUse the M4 Python API to query clinical datasets (MIMIC-IV, eICU) programmatically. Triggers on "M4 API", "query MIMIC with Python", "clinical data analysis", "EHR data", "execute SQL on MIMIC", or when writing code to access clinical databases.
- m5-onboardEnd-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".Apache-2.0
- m5-onboardEnd-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".
- markdowndata-apiPython API reference for markdowndata — loads() and load() functions
- markdropProfessional AI skill and usage instructions for the Markdrop package, a Python tool for converting PDFs to Markdown/HTML with AI-powered image/table descriptions.
- marketing-skillsDirectory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself.MIT
- marketing-skillsDirectory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself.MIT
- marketing-skillsDirectory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself.MIT
- masa-frameworkApply the MASA (Modular Agentic Semantic Architecture) framework when writing, reviewing, or refactoring code. Use when implementing features, reviewing architecture, checking layer compliance, or setting up a new project in Python, JavaScript/TypeScript, or Go.
- matlabMATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.licensed
- matplotlibMatplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.licensed
- matplotlibMatplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.licensed
- matplotlib-best-practicesBest practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
- matplotlib-best-practicesBest practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builderGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).licensed
- mcp-builder-msUse this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- mcp-builder-msUse this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- mcp-connector-generatorScaffolds the McpToolset connection logic for standard servers (Reddit, Google Docs) or custom local Python scripts.
- mcp-server-builderDesign and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.
- mcp-server-builderDesign and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.
- mcp-server-builderDesign and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.MIT
- mcp-server-writingCreates production-ready MCP servers with tools, resources, and prompts using TypeScript SDK or Python FastMCP. Use when building MCP integrations for Claude or LLM applications.
- mcp-tool-developerBuild Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
- mcp-tool-developerBuild Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
- mcp-tool-developerBuild Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
- mcp-tool-developerBuild Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
- mcp-toolsCreate MCP server tools with Official Python MCP SDK for AI agents. Use when building MCP tools, registering tool schemas, or creating AI-accessible functions.
- microsoft-agent-frameworkCreate, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
- microsoft-agent-frameworkCreate, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python
- migrate-airbyte-connectorMigrate an existing Airbyte source connector to a Fivetran Connector SDK connector. Use when the user has an Airbyte Python CDK source, low-code YAML manifest, source connector directory, configured catalog, spec/config/state files, or Airbyte protocol output they want to port to CSDK.
- mistral-sdk-patternsApply production-ready Mistral AI SDK patterns for TypeScript and Python.MIT
- modalModal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.Apache-2.0
- modern-pythonWork with Python (`uv` instead of `python`, modern type syntax, linting, formatting, etc.) properly!
- msgraph-sdkIntegrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.
- n8n-code-pythonWrite Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
- n8n-code-pythonWrite Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
- nasa-inspired-coding-rulesUse when writing, reviewing, or refactoring production code where reliability, portability, maintainability, explicit contracts, resource safety, and cross-language coding standards matter across Python, TS/JS, C, C++, Rust, or Go.
- networkxCreate, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.licensed
- networkxNetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.licensed
- networkxNetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.licensed
- networkxNetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.licensed
- obliteratusRemove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods (+ 4 Python-API-only), 15 analysis modules, 116 model presets across 5 compute tiers. Use when a user wants to uncensor, abliterate, or remove refusal from an LLM.MIT
- odoo-rpc-apiExpert on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, record CRUD, and real-world integration examples in Python, JavaScript, and curl.
- odoo-rpc-apiExpert on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, record CRUD, and real-world integration examples in Python, JavaScript, and curl.
- office-automation自动化处理 Word 和 Excel 文件。使用 Python 脚本读取、写入、格式化文档和表格。支持批量处理、模板填充、数据提取和格式转换。
- omero-integrationMicroscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.Unknown
- OpenAI Whisper API TranscriptionAPI-based speech-to-text transcription through OpenAI. No local model downloads, no GPU, no Python ML stack — just an API key and a shell script.
- optimize-for-gpuGPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.
- oraclecloud-query-transformQuery OCI metrics with MQL and create monitoring alarms via the PythonMIT
- oraclecloud-upgrade-migrationSafely upgrade OCI Python SDK and Terraform provider \u2014 version\MIT
- osint-investigationPublic-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates registries, CourtListener court records, Wayback Machine archives, Wikipedia + Wikidata, GDELT news monitoring. Entity resolution across sources, cross-link analysis, timing correlation, evidence chains. Python stdlib only.
- palantir-core-workflow-aBuild Palantir Foundry data pipelines using Python transforms.MIT
- palantir-local-dev-loopConfigure Palantir Foundry local development with Python transformsMIT
- palantir-sdk-patternsApply production-ready Palantir Foundry SDK patterns for Python andMIT
- pandas-expertPandas expert: DataFrame operations, merge/join, groupby, time series, performance optimization. Use when analyzing data, building ETL pipelines, or data manipulation with Python.MIT
- papers-skillSkill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.MIT
- papers-skillSkill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.MIT
- pdf-officialThis guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.
- pdf-officialThis guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.
- pdf-officialThis guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.
- pdf-officialThis guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see reference.md. If you need to fill out a PDF form, read forms.md and follow its instructions.
- pdmUse this skill when the user wants to manage Python packages, install dependencies, build Python packages, publish to PyPI, or use PEP 582 package management.
- performance-profilerSystematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.
- performance-profilerSystematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.
- performance-profilerSystematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.MIT
- pip-auditUse this skill when the user wants to audit Python dependencies for known vulnerabilities, check requirements files for CVEs, or scan Python environments for security issues.
- pip-chillList Python packages not installed via pip. Shows only packages that were manually installed, not dependencies.
- plankaManage Planka (Kanban) projects, boards, lists, cards, and notifications via a custom Python CLI.
- plant-managementManage plant registry data, care profiles, reminders, and deterministic care evaluation through a validated Python CLI.
- plugin-scaffolderGenerates a standardized single-file i18n Python plugin template based on project standards. Use when starting a new plugin development to skip boilerplate writing.
- polarsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.licensed
- postman2pytestConvert a Postman Collection v2.1 JSON file into a runnable pytest test suite using the postman2pytest CLI. Use when the user has a Postman collection (a .postman_collection.json or v2.1 JSON export) and wants to run it as pytest in CI, when migrating from Postman/Newman to a Python-native test stack, when bridging Postman-documented APIs into a pytest-based regression suite, when the user asks to generate pytest tests from Postman, or when the user mentions wanting to keep Postman as the source of truth but run the suite with pytest.MIT
- pptx-authorBuild PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.Apache-2.0
- pptx-html-fidelity-auditAudit a python-pptx export against its source HTML deck, identify layout/content drift (footer overflow, cropped content, missing italic/em, lost styling, off-rhythm spacing), and re-export with strict footer-rail + cursor-flow layout discipline. Use this skill whenever the user has a .pptx that was generated from an HTML slide deck and asks to compare/audit/verify/fix the export — including phrases like "compare ppt with html", "fidelity audit", "fix the pptx", "ppt is cut off", "footer overlap", "italic missing in pptx", "re-export the deck", "pptx-html-fidelity-audit", or any case where a python-pptx → HTML round-trip needs verification or repair. Also trigger when the user shows you a deck.html and a deck.pptx side by side and is debugging visual differences.
- pptx-html-fidelity-auditAudit a python-pptx export against its source HTML deck, identify layout/content drift (footer overflow, cropped content, missing italic/em, lost styling, off-rhythm spacing), and re-export with strict footer-rail + cursor-flow layout discipline. Use this skill whenever the user has a .pptx that was generated from an HTML slide deck and asks to compare/audit/verify/fix the export — including phrases like "compare ppt with html", "fidelity audit", "fix the pptx", "ppt is cut off", "footer overlap", "italic missing in pptx", "re-export the deck", "pptx-html-fidelity-audit", or any case where a python-pptx → HTML round-trip needs verification or repair. Also trigger when the user shows you a deck.html and a deck.pptx side by side and is debugging visual differences.
- prepare-releaseUse when asked to prepare new serious_python release by bumping versions and author release notes.
- problem-analysisInvoke IMMEDIATELY via python script when user requests problem analysis or root cause investigation. Do NOT explore first - the script orchestrates the investigation.
- process-mapperUse when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work — this is tactical process documentation for internal operations.MIT
- process-mapperUse when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work — this is tactical process documentation for internal operations.MIT
- process-mapperUse when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work — this is tactical process documentation for internal operations.MIT
- product-skills10 skills e plugins de agentes de produto para Claude Code. Kit de ferramentas para PM (RICE), PO ágil, estrategista de produto (OKR), pesquisador UX, sistema de UI design, análise competitiva, gerador de landing page, scaffolder SaaS, resumidor de pesquisas. Ferramentas Python (somente stdlib).MIT
- promptfoo-evaluationConfigures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".
- proxmox-infrastructureManage the Matrix/Virgo-Core Proxmox VE cluster (nodes Foxtrot, Golf, Hotel - MINISFORUM MS-A2 with AMD Ryzen 9 9955HX). Covers VM provisioning, VLAN networking, CEPH storage, and automation via Python (proxmoxer), Ansible (community.general.proxmox), and Terraform (Telmate/proxmox).
- pubmed-databaseDirect REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.Unknown
- pubmed-databaseDirect REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.Unknown
- pulumiInfrastructure as code in TS/Python/Go, resources, stacks, state, config, secrets, automation API, providers.
- pydeseq2Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.MIT license
- pydicomA Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when you need to read, write, or modify DICOM format medical imaging data, extract pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymize DICOM files,...MIT
- pydicomPython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.licensed
- pydicomPython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
- pydicomPython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
- pyjailEscapes Python sandbox restrictions. Use when working with restricted Python eval/exec environments, sandbox escapes, filtered input challenges, or Python jail challenges.
- pyo3-maturin-bindingsPython bindings for Rust libraries using PyO3 and maturin. Use when working on Python bindings to Rust code, including creating or modifying pyfunction/pyclass definitions, converting types between Rust and Python, handling errors across the FFI boundary, managing the GIL and memory, building wheels with maturin, publishing to PyPI, testing binding code, or debugging binding issues. Tuned for CQLite (Cassandra CQL bindings) with feature parity tracking.
- pyopenmsPython interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
- pyspyProfile the execution time of a Python script using py-spy and visualize the result with speedscope. Use when the user wants to benchmark performance, find slow code paths, or profile CPU time.
- pysvPythonSV usage skill
- pytestPython testing framework for writing simple, scalable, and powerful tests
- pytest-genGenerate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
- pytest-genGenerate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
- pytest-genGenerate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
- pytest-genGenerate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
- pytest-genGenerate comprehensive pytest tests - use when generating tests, creating test suites, or testing Python code
- pythonGuidelines when creating, reading, updating, or deleting Python code
- pythonLanguage-specific super-code guidelines for python.
- pythonLanguage-specific super-code guidelines for python.
- pythonLanguage-specific super-code guidelines for python.
- Python Async ExpertExpert in Python asynchronous programming with asyncio, including event loops, concurrency patterns, and async I/O operations.
- Python Script BatchingUse execute_python_script safely by building scenes in small verifiable batches instead of one giant script.
- Python StandardsApply Python tooling standards including uv package management, pytest testing, ruff/basedpyright code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, type checking, adding docstrings, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Python development task requiring adherence to tooling standards and best practices.
- python_code_generationGenerate Python code from natural language descriptions
- python-action-guideMaaNTE Python 自定义动作（CustomAction）编写指南。覆盖 agent/custom/action/ 下的 Python 代码的架构、注册、命名、maafocus 用户消息、日志、Controller API、Pipeline 集成、错误处理等编码规范和模式参考。在编写、修改或审查 Python 自定义动作，或需要了解 agent 项目结构与 MaaFramework Python 绑定集成方式时使用。
- python-anti-patternsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.
- python-anti-patternsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.MIT
- python-api-designDesigns intuitive Python library APIs following principles of simplicity, consistency, and discoverability. Handles API evolution, deprecation, breaking changes, and error handling. Use when designing new library APIs, reviewing existing APIs, or managing API versioning.MIT
- python-architecture>
- python-architecture>
- python-azure-iot-edge-modulesBuild and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.
- python-azure-iot-edge-modules
- python-background-jobsPython background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.
- python-background-jobsPython background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.MIT
- python-code-stylePython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.
- python-code-stylePython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.MIT
- python-configurationPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.
- python-configurationPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.MIT
- python-data-analysisBest practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
- python-dataviz>-
- python-design-patternsPython design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.
- python-design-patternsPython design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.MIT
- python-devPython 开发规范，包含 PEP 8 风格、类型注解、异步编程、性能优化等。当操作 .py, pyproject.toml, requirements.txt 文件时自动激活。
- python-dev-handbook當要開發或修改 Python 程式碼時使用。
- python-dev-handbook當要開發或修改 Python 程式碼時使用。
- python-developmentYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint (Alias for python-development-python-scaffold)
- python-developmentYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint (Alias for python-development-python-scaffold)
- python-developmentYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint (Alias for python-development-python-scaffold)
- python-development-python-scaffoldYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
- python-development-python-scaffoldYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
- python-error-handlingPython error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.
- python-error-handlingPython error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.MIT
- python-eval>
- python-execExecute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.
- python-expertExpert-level Python development with Python 3.12+ features, async/await, type hints, and modern best practicesApache-2.0
- python-expert-testerExpert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use when writing tests, improving coverage, debugging issues, or optimizing testing setup.
- python-expert.skill
- python-fastapiComplete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
- python-fastapi-developmentPython FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
- python-fastapi-developmentPython FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
- python-fastapi-llm
- python-linterGuide coding agents to fix specific Python linter issues from Ruff. Use when encountering Ruff linter errors identified by alpha-numeric codes (e.g., B008, S108, PLC0415). Provides context-aware resolution strategies for common linter issues.MIT
- python-linting>MIT
- python-mathSmall Python utilities for math and text files.
- python-mathSmall Python utilities for math and text files.
- python-mcp-server-generatorGenerate a complete MCP server project in Python with tools, resources, and proper configuration
- python-mcp-server-generatorGenerate a complete MCP server project in Python with tools, resources, and proper configuration
- python-mcp-server-generatorGenerate a complete MCP server project in Python with tools, resources, and proper configuration
- python-observabilityPython observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.
- python-observabilityPython observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.MIT
- python-packagingCreate distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
- python-packagingComprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.
- python-packagingComprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.
- python-packagingComprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.
- python-packagingCreate distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
- python-packagingCreate distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.MIT
- python-patternsPython development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
- python-patternsPython development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
- python-patternsPython development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
- python-patternsPython development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
- python-patternsPython development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
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