test
Use when you need to run tests for React core. Supports source, www, stable, and experimental channels.
Categories.seoDescriptions.official
Discover the world's most comprehensive directory for AI Agent Skills and community-driven MCP Servers (Model Context Protocol). Seamlessly find and install high-quality developer integrations for your Claude Desktop, Cursor, or custom AI agents. From cloud operations to API integrations, explore verified open-source MCP practices to supercharge your AI workflows.
Use when you need to run tests for React core. Supports source, www, stable, and experimental channels.
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This skill should be used when the user asks to update documentation for my changes, check docs for this PR, what docs need updating, sync docs with code, scaffold docs for this feature, document this feature, review docs completeness, add docs for this change, what documentation is affected, docs impact, or mentions docs/, docs/01-app, docs/02-pages, MDX, documentation update, API reference, .mdx files. Provides guided workflow for updating Next.js documentation based on code changes.
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
Use when you have a written implementation plan to execute in a separate session with review checkpoints
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Awesome-claude-skills is a curated collection of resources and tools for developers building customized Claude AI workflows. It includes integrations with MCP servers, Codex extensions, automation tools like Composio, and specialized components for AI agent development and workflow optimization.
<p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/7e44e98b-a0ba-4aff-a68a-4ffee3a6189c" alt="fastapi-to-mcp" height=100/></a></p> <div align="center"> <span style="font-size: 0.85em; font-weight: normal;">Built by <a href="https://tadata.com">Tadata</a></span> </div> <h1 align="center"> FastAPI-MCP </h1> <div align="center"> <a href="https://trendshift.io/repositories/14064" target="_blank"><img src="https://trendshi
Helps users discover and install agent skills when they ask questions like how do I do X, find a skill for X, is there a skill that can..., or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.