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AI & LLM Engineering · LangGraph · langchain-ai/docs
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. | langchain-ai/ | 426 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 2 | A skill your agent uses when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify… | langchain-ai/ | 426 | — | ~4.6k | Automated safety check: Pass | MIT | yesterday |
| 3 | Build agents with a prebuilt architecture and integrations for any model or tool. | langchain-ai/ | 426 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 4 | Build stateful, durable agent workflows with LangGraph. An agent skill from langchain-ai/docs. | langchain-ai/ | 426 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 5 | Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. | langchain-ai/ | 426 | — | ~935 | Automated safety check: Pass | MIT | yesterday |
| 6 | Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source. | langchain-ai/ | 426 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 7 | Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. | langchain-ai/ | 426 | — | ~282 | Automated safety check: Pass | MIT | yesterday |