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genkit
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
query-patterns
Implement TanStack Query (React Query) patterns for data fetching, caching, mutations, and optimistic updates. Use when setting up API integration or data fetching strategies.
dspy-ruby
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
agent-native-architecture
This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.
cloudflare
Cloudflare Workers development patterns including Workers AI, Durable Objects, KV storage, and Hono routing. Use when building serverless edge functions, AI-powered services, or stateful workflows on Cloudflare.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
dg:prototype
Build production-ready Dagster implementations with best practices, testing, and validation. Use when user wants to prototype, build, implement, or create Dagster assets, pipelines, workflows, or data integrations.
integrations-index
Comprehensive index of 82+ Dagster integrations organized by official tags.yml taxonomy including AI (OpenAI, Anthropic), ETL (dbt, Fivetran, Airbyte, PySpark), Storage (Snowflake, BigQuery), Compute (AWS, Databricks, Spark), BI (Looker, Tableau), Monitoring, Alerting, and Testing. Use when discovering integrations or finding the right tool for a use case.
mimic-table-relationships
Understand MIMIC-IV table relationships, join patterns, and identifier hierarchy. Use for correct data linkage, avoiding duplicates, and proper temporal joins.
plan-creation
Use when user says "plan story", "create plan", "plan next feature", "create implementation plan", "what's ready to plan", or asks to plan an approved story - looks up approved story-nodes from story-tree database, prioritizes which to plan first, creates detailed TDD-focused implementation plan, and saves to .claude/data/plans/ folder.
mermaid-diagrams
Generate, validate, and refine Mermaid diagrams (flowcharts, sequence diagrams, class diagrams, state diagrams, Gantt charts, ERD, component diagrams). Use when creating visualizations, documenting workflows, system architectures, or data flows. Includes syntax validation and best practices guidance.
secrets-scan
A security scanning tool that detects hardcoded credentials, API keys, tokens, and other sensitive data in source code and git history using pattern matching and entropy analysis.
frontend-development
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.
datadog-cli
Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.
ai-collaboration-standards
Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/certainty. Keywords: certainty, assumption, inference, evidence, source, 確定性, 推測, 假設, 來源, 證據.
Codebase Organizer
Monitor and refactor large files into smaller, AI-friendly modules. Use when user asks to check file sizes, split large files, or organize the codebase. Ensures tests pass before and after refactoring.
administration
How to monitor usage, track costs, configure analytics, and measure ROI for Claude Code. Use when user asks about monitoring, telemetry, metrics, costs, analytics, or OpenTelemetry.
agentdb-learning
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
pytm
Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmatically using Python code, (2) Generating data flow diagrams (DFDs) with automatic STRIDE threat identification, (3) Integrating threat modeling into CI/CD pipelines and shift-left security practices, (4) Analyzing system architecture for security threats across trust boundaries, (5) Producing threat reports with STRIDE categories and mitigation recommendations, (6) Maintaining threat models as code for version control and automation.
Retrieve relevant information through RAG
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
starknet-identity
Register AI agents on-chain using the ERC-8004 Trustless Agents standard. Manage agent identity as NFTs, build reputation through feedback, and request third-party validation.
arkit-visionos-developer
Build and debug ARKit features for visionOS, including ARKitSession setup, authorization, data providers (world tracking, plane detection, scene reconstruction, hand tracking), anchor processing, and RealityKit integration. Use when implementing ARKit workflows in immersive spaces or troubleshooting ARKit data access and provider behavior on visionOS.
openai-agent-sdk-skill
Create OpenAI Agents SDK applications in TypeScript/JavaScript. Use when building AI agents, multi-agent systems, voice agents, or any agentic workflow with the OpenAI Agents SDK. Covers agents, tools, handoffs, guardrails, streaming, MCP, and realtime voice agents.