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Found 4,072 Skills
Execute chaos engineering experiments to test system resilience. Use when performing specialized testing. Trigger with phrases like "run chaos tests", "test resilience", or "inject failures".
Upgrade dependencies safely using pnpm catalog, checking for breaking changes, and testing upgrades. Use when updating packages, applying security patches, upgrading major versions, resolving dependency conflicts, or modernizing tech stack.
Design robust A/B test experiments. Use when testing a new feature, validating a hypothesis, or optimizing conversion rates.
Conducts structured interviews to derive technical requirements from business requirements. Requires completed business-requirements.yaml as input. Asks targeted technical questions about architecture, technology stack, data model, APIs, security, testing, and deployment. Generates technical-requirements.yaml output.
Recommends and scaffolds frontend technology stack for new projects. Use when starting a new frontend project, selecting a framework, setting up a web app from scratch, or when the user asks about frontend tech stack, scaffolding, or architecture selection. Covers React/Next.js/Astro/Vue, TypeScript, Tailwind CSS, state management, data fetching, UI components, testing, and monorepo setup.
Performance playbook for `weapp-vite + wevu` mini-program projects, aligned with WeChat runtime guidance (`setData`, render, navigation, resource, memory). Use this whenever users report lag, frame drop, white screen, slow page switching, memory alert, or want to implement systematic performance governance, stress testing and regression.
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.
Apply Fastify best practices when creating servers, plugins, routes, schemas, hooks, configuration, decorators, error handling, testing, and TypeScript integration. Use when writing or reviewing Fastify code, setting up a new Fastify project, or asking "How should I structure my Fastify app?"
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.
The project's all-seeing guide. Sentinel MUST activate before Claude takes any action that modifies, creates, or deletes anything in the project. It understands the codebase, architecture, brand, design system, business model, deployment pipeline, testing strategy, and every convention. Trigger on: action requests (build, fix, add, change, update, refactor, implement, create, remove, delete, migrate, deploy, integrate, improve, configure, install, bump, upgrade, debug, troubleshoot, move, rename); casual requests (can you, I need to, let's, go ahead and, help me, we need to); status reports (X is broken/failing, there's a bug); project questions (how does X work here, where would I add, walk me through); planning (scope this, break this down, write a spec). Do NOT trigger on general knowledge, blog posts, interview prep, or tech comparisons for other projects. Key test: does this need THIS project's context? If yes, trigger. Sentinel guides Claude, it does not execute. No task is too small.
Spring Modulith for modular architecture in Spring Boot 3.x. Covers module structure, API vs internal packages, inter-module events, module testing, documentation generation, and observability. USE WHEN: user mentions "spring modulith", "modular monolith", "@ApplicationModule", "module boundaries", "inter-module events", "@ApplicationModuleTest", "modular architecture" DO NOT USE FOR: simple applications - unnecessary complexity, microservices - use proper service boundaries, existing tightly coupled monoliths - requires significant refactoring
Records completed work progress to .trellis/workspace/ journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.