langgraph-docs
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, or needs LangGraph implementation guidance.
Datos de origen
- Repositorio
- langchain-ai/deepagents
- Última actividad en el origen
- 12 de mayo de 2026 a las 17:39
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 30.321
- Forks
- 4263
Opciones de instalación
De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.
Revisa los archivos de origen
Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
Mostrando SKILL.md
SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- langgraph-docs
- description
- 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, or needs LangGraph implementation guidance.
# langgraph-docs
## Workflow
### 1. Fetch the Documentation Index
Use `fetch_url` to read: https://docs.langchain.com/llms.txt
This returns a structured list of all available documentation with descriptions.
### 2. Select Relevant Documentation
Identify 2-4 most relevant URLs from the index. Prioritize:
- **Implementation questions** — specific how-to guides
- **Conceptual questions** — core concept pages
- **End-to-end examples** — tutorials
- **API details** — reference docs
### 3. Fetch and Apply
Use `fetch_url` on the selected URLs, then complete the user's request using the documentation content.
If `fetch_url` fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.
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