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.
소스 정보
- 저장소
- langchain-ai/deepagents
- 최근 소스 활동
- 2026년 5월 12일 17:39
- 감지된 SKILL.md 언어
- 영어
- 스타
- 30,321
- 포크
- 4,263
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- 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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