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stable-baselines3
Provides guidance for using Stable Baselines3, a PyTorch RL library with PPO, SAC, DQN algorithms. Covers training agents, custom environments, vectorized envs, callbacks, and evaluation. Includes ready-to-use scripts for common RL workflows and troubleshooting tips.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
shap
This skill provides detailed guidance for using SHAP to explain machine learning model predictions. It covers explainer selection, visualization generation, common workflows, and integration with MLOps pipelines. The documentation includes code examples for tree models, neural networks, and black-box models.
agentic-quality-engineering
This skill provides a framework for orchestrating 19 specialized AI agents to automate and scale quality engineering tasks. It defines coordination patterns, memory management, and PACT principles for proactive, autonomous, collaborative, and targeted testing. It's designed to integrate into CI/CD pipelines, starting with a phased rollout of agents.
server-actions
Provides detailed guidance on implementing Next.js Server Actions for form submissions and data mutations. Covers form state management, validation with Zod, revalidation patterns, and real-world examples like shopping carts and auto-save. Includes code snippets for common use cases.
pair-programming
This skill provides structured AI pair programming with driver/navigator roles, real-time code verification, and integrated testing workflows. It supports TDD, debugging, and refactoring sessions with automatic quality scoring and session persistence for collaborative development.
ai-sdk-ui
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
git
Provides detailed guidance for Git and GitHub workflows, including commit message best practices, branch management, and gh CLI usage. It emphasizes avoiding AI attribution in commits and includes safety rules for destructive operations. Covers common patterns and troubleshooting scenarios.
google-gemini-file-search
Build document Q&A with Gemini File Search - fully managed RAG with automatic chunking, embeddings, and citations. Upload 100+ file formats, query with natural language. Use when: document Q&A, searchable knowledge bases, semantic search. Troubleshoot: document immutability, storage quota (3x), chunking config, metadata limits (20 max), polling timeouts, displayName dropped (Blob uploads), grounding lost (JSON mode), tool conflicts (googleSearch + fileSearch).
universal-patterns
Provides a collection of universal software development patterns covering architecture, code organization, error handling, data flow, and naming conventions. Includes concrete examples and anti-patterns to avoid. Serves as a quick reference for developers working across different technology stacks.
claude-d3js-skill
Provides detailed guidance for creating custom D3.js visualizations with clear code examples for different integration patterns. Covers scales, transitions, performance optimization, and accessibility. Includes templates and reference materials for various chart types and frameworks.
gemini
This skill wraps Google's Gemini CLI to provide AI-powered code analysis and generation within Claude. It offers multiple execution methods, configurable models via environment variables, and clear timeout handling. The Python script has zero dependencies and works cross-platform.
This skill provides Python code examples for common PDF operations including text extraction, table parsing, merging/splitting documents, and creating new PDFs. It covers pypdf, pdfplumber, and reportlab libraries with clear code snippets for each task. The guide includes command-line alternatives using qpdf and pdftotext for batch processing.
aeon
This skill provides a scikit-learn compatible Python toolkit for time series machine learning tasks. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search with practical code examples and benchmark datasets.
cloudflare-kv
Store key-value data globally with Cloudflare KV's edge network. Use when: caching API responses, storing configuration, managing user preferences, handling TTL expiration, or troubleshooting KV_ERROR, 429 rate limits, eventual consistency, cacheTtl errors, wrangler types issues, or remote binding configuration.
database-testing
A comprehensive and well-structured database testing skill with excellent practical examples, clear guidance, and good integration with agent workflows for automated testing.
developer-detective
A specialized tool for analyzing codebases using AST call graph analysis instead of text search. It helps developers understand implementation details, trace data flow via callees, identify usage patterns via callers, and assess impact before making changes. Focuses on precise file:line references and structural relationships.
debug-prod-data
Provides specific commands and workflows for debugging production issues on Vercel, including log viewing, deployment monitoring, and database inspection for the 0 Finance project. Includes concrete examples with proper scoping and environment setup.
dnanexus-integration
Provides detailed documentation for using DNAnexus cloud genomics platform. Covers app development, data operations, job execution, Python SDK usage, and configuration. Includes practical examples for FASTQ/BAM/VCF processing, workflow creation, and dxapp.json configuration.
burpsuite-project-parser
Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.
exploratory-data-analysis
This skill automates exploratory data analysis for over 200 scientific file formats across chemistry, bioinformatics, microscopy, and other domains. It detects file types, extracts format-specific metadata, assesses data quality, and generates detailed markdown reports with analysis recommendations.
github-multi-repo
This skill coordinates changes across multiple GitHub repositories using AI swarm agents. It handles package version alignment, dependency updates, and cross-repository testing. The tool generates pull requests and manages distributed workflows for teams maintaining interconnected codebases.
stream-chain
A sophisticated workflow orchestration tool that enables multi-agent chaining with streaming data flow between steps, offering both custom chains and predefined pipelines for complex development tasks.
github-project-management
Integrates GitHub issue management with swarm coordination tools like ruv-swarm and claude-flow. Automates project board sync, issue-to-task conversion, and provides command-line workflows for team collaboration. Includes troubleshooting guides and performance metrics.