How does the langgraph-docs skill prioritize information?

The skill follows a strict workflow: it first searches your local repository and specification folders before attempting to fetch external documentation from the web.

Can I use this for non-English LangGraph projects?

Yes, it is designed to recognize local specification documents (such as '仕様書') and can interpret project requirements in various languages while referencing official docs.

Does this skill help with debugging LangGraph state issues?

Absolutely. By analyzing your local configurations and comparing them with official patterns, it can identify mismatches in state schemas or node transitions.

Do I need to have the LangGraph docs downloaded locally?

No. The skill is designed to fetch necessary pages from the upstream documentation automatically if the answer cannot be found in your local project files.

LangGraph Documentation & Implementation

Name: LangGraph Documentation & Implementation
Author: rozwer

byrozwer

Aprendizaje y Documentación

Provides expert guidance on LangGraph development by prioritizing local project specifications and official framework documentation.

Acerca de

This skill optimizes how Claude assists with LangGraph development by establishing a clear hierarchy for information retrieval. It prioritizes your local codebase and internal specification documents as the primary sources of truth, ensuring that generated code and advice remain consistent with your specific project architecture. If local context is insufficient, the skill intelligently fetches necessary details from upstream LangGraph documentation, allowing for accurate debugging, state management configuration, and multi-agent workflow design without unnecessary information overhead.

Características Principales

Fetches upstream LangGraph documentation only when local context is unclear
0 GitHub stars
Prioritizes local repository symbols and configuration over external docs
Reduces documentation noise by targeting only necessary technical pages
Streamlines the development of stateful, multi-agent AI workflows
Uses project-specific specification folders as the source of truth for requirements

Casos de Uso

Onboarding to existing LangGraph projects by querying local '仕様書' (specifications)
Building and debugging complex state machines and nodes in LangGraph
Referencing specific LangGraph API signatures when local implementations are missing

Acerca de

Características Principales

Fetches upstream LangGraph documentation only when local context is unclear
0 GitHub stars
Prioritizes local repository symbols and configuration over external docs
Reduces documentation noise by targeting only necessary technical pages
Streamlines the development of stateful, multi-agent AI workflows
Uses project-specific specification folders as the source of truth for requirements

Casos de Uso

Onboarding to existing LangGraph projects by querying local '仕様書' (specifications)
Building and debugging complex state machines and nodes in LangGraph
Referencing specific LangGraph API signatures when local implementations are missing