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Langgraph Python Quickstart
Build a minimal local Python graph with a documented entrypoint and bounded behavior.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
What it does
The quickstart establishes the smallest runnable LangGraph example before production persistence or orchestration is added.
Best for
Python developers evaluating graph-based agent control.
Tradeoffs and requirements
A quickstart does not establish deployment security or durable execution. Model calls and optional tools may use external services.
Unknown; inspect source requirements and supporting scripts.
Install from the source
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/langgraph-python-quickstart --skill langgraph-python-quickstartReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Safety & review signals
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
- Network Access — review the source context.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
AI Craft Pad Skill Score
79/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
- Documentation
- 67/100
- Maintenance
- 100/100
- License Clarity
- 100/100
- Repository Health
- 100/100
- Compatibility Evidence
- 80/100
- Popularity
- 56/100
- Originality
- 80/100
- Static Safety
- 60/100
Suggested workflow
Inspect the current Python requirements, create an isolated project and implement a small graph with explicit termination.
How to judge the result
Run a representative request and node failure, check final state and document which recovery, access and deployment controls remain outside the example.
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