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SkillsMP ha recopilado 9 skills de langchain-ai/docs. Abre una skill para revisar su origen y sus detalles.
Mostrando 9 de 9 skills recopiladas.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API,…
Idioma del texto original: inglés
Use this skill 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 snippets. Applies when extracting code blocks from documentation,…
Idioma del texto original: inglés
Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override). Rebase an integration PR, convert to external YAML, feature an integration, or check package downloads for docs…
Idioma del texto original: inglés
Build agents with a prebuilt architecture and integrations for any model or tool. Use when creating tool-calling agents, switching model providers, or adding structured output.
Idioma del texto original: inglés
Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. Use for complex, multi-step tasks that need built-in capabilities.
Idioma del texto original: inglés
Build stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent orchestration.
Idioma del texto original: inglés
Common pandas and matplotlib patterns for data analysis and visualization
Idioma del texto original: inglés
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.
Idioma del texto original: inglés
Use when the user wants the current date and time written to a file via the bundled script inside the sandbox.
Idioma del texto original: inglés