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React · Building AI agents
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Answer questions about the AI SDK and help build AI-powered features. | vercel-labs/ | 168 | 20 repos | ~1.2k | Automated safety check: Pass | No licence | 5 mo ago |
| 2 | 2.Commit Write a Magic Resume commit message that passes the gitmoji + conventional-type lint. | Magic-Resume/ | 101 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 3 | How AI agents integrate with Magic Resume — read and safely edit a user's resumes through the native MCP server (@magic-resume/mcp). | Magic-Resume/ | 101 | — | ~663 | Automated safety check: Pass | MIT | today |
| 4 | Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package. | soba-labs/ | 107 | — | ~1.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Framework for building LLM-powered applications with agents, chains, and RAG. | Orchestra-Research/ | 13k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks. | langchain-ai/ | 118 | — | ~2.5k | Automated safety check: Pass | MIT | 19 days ago |
| 7 | 当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。 | 5zjk5/ | 127 | 1 repo | ~1.8k | Automated safety check: Pass | No licence | 26 days ago |
| 8 | Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. | davila7/ | 33k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | today |
| 9 | AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt… | telagod/ | 244 | — | ~691 | Automated safety check: Pass | MIT | 2 mo ago |
| 10 | 10.Langgraph Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. | sickn33/ | 47k | 2 repos | ~639 | Automated safety check: Pass | MIT | 2 days ago |
| 11 | Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 12 | 12.Docs Guide Fetch and explain official documentation for any library, framework, API, or service using an llms.txt-first strategy — triggers on "How do I…", "What is…", "How does X work", "Best practice for…"… | fivetaku/ | 128 | — | ~3.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 13 | Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted agent, connected over the AG-UI protocol. | github/ | 40k | — | ~2.5k | Automated safety check: Pass | MIT | 2 days ago |
| 14 | Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles. | agentsope/ | 436 | — | ~7.1k | Automated safety check: Pass | MIT | 2 days ago |
| 15 | Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional… | jeremylongshore/ | 2.8k | — | ~960 | Automated safety check: Pass | MIT | yesterday |
| 16 | Build a correct LangGraph 1.0 ReAct agent with createreactagent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. | jeremylongshore/ | 2.8k | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 17 | Create Agent App applications (PocketBase backend, React kit frontend). | CraftOS-dev/ | 392 | — | ~4.8k | Automated safety check: Pass | MIT | yesterday |
