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Found 3,730 Skills
Ability to design, analyse, test, and maintain mechanical systems and components that meet defined functional, safety, and performance requirements. Includes applying engineering principles to materials, structures, thermodynamics, fluid mechanics, and motion systems; producing and interpreting technical designs and specifications; validating designs through analysis and testing; and supporting manufacture, operation, and lifecycle management. Applies across industrial, infrastructure, energy, manufacturing, and product contexts and is independent of specific tools or industries, with human accountability retained for safety, compliance, and outcomes.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Execute and implement approved specification proposals in sequence with testing and verification as the priority. It is used for implementing changes, applying proposals, executing specification tasks, or building according to approved plans. Trigger words include "openspec development", "development", "implementation", "implement proposal", "apply change", "execute specification", "complete tasks in order", "build feature", "start implementation"
Multi-agent systems with LangGraph - supervisor/swarm/handoff/router patterns, state coordination, Deep Agents, guardrails, testing, observability, deployment. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Expert guidance for Spring Boot application development with best practices for RESTful APIs, testing, security, and deployment
Build high-performance APIs with Django-Bolt, including BoltAPI routes, typed request validation, msgspec serialization, auth guards, middleware, OpenAPI docs, pagination, streaming, SSE, WebSockets, and testing. Use when the user asks to create a new bolt endpoint, set up a Django-Bolt project, add JWT or API key auth, configure runbolt, wire guards or middleware, add pagination or streaming, generate OpenAPI docs, write TestClient tests, or migrate from FastAPI, Django REST Framework, or Django Ninja to django-bolt. Do NOT use for general Django views, Django admin customization, or standard Django REST Framework work.
Comprehensive Rust coding guidelines covering ownership, error handling, async patterns, traits, testing, performance, clippy, and documentation. Use when writing new Rust code, reviewing or refactoring existing Rust, implementing async systems with Tokio, designing error hierarchies, choosing between borrowing and cloning, setting up tests or benchmarks, configuring linting, or optimizing performance. Do not use for non-Rust languages or general software architecture unrelated to Rust idioms.
Opinionated modern Java (21+) coding best practices, style guides, and anti-patterns. Curated by VirtusLab engineers. Covers code style, null safety, error handling, immutability, testing, concurrency, and tooling.
Guide for writing Netlify Edge Functions. Use when building middleware, geolocation-based logic, request/response manipulation, authentication checks, A/B testing, or any low-latency edge compute. Covers Deno runtime, context.next() middleware pattern, geolocation, and when to choose edge vs serverless.
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
Structure information so people can find what they need, understand where they are, and navigate confidently. Covers navigation pattern design, taxonomy, labeling systems, search and browse strategy, wayfinding, and IA research methods. Trigger when designing navigation structures, categorization schemes, site maps, taxonomies, labeling systems, search experiences, or asking "how should we organize this?" Also trigger for card sorting, tree testing, information findability problems, or when users report they can't find things. Use this skill any time the structural organization of information is the problem — not the flow through it, not the words in it, not the visual presentation of it.
Node.js/Bun backend reference skill: TypeScript-first, structured error handling, pino logging, Zod validation, async patterns, HTTP server conventions, database access, auth, queues, caching, testing, security, CLI tooling, and observability. Covers both Node.js and Bun runtimes. Use when the task touches server-side TypeScript/JavaScript code and should follow the project's backend conventions.