Skill profile

langgraph

LangGraph 1.x (LTS) Python workflow patterns for state management.

What this skill does for you

LangGraph 1.x (LTS) Python workflow patterns for state management, delta channels, resilience (node timeouts, error handlers, graceful drain), routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming (v2 format), subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.

Quoted from the skill description in the pinned source

Who made it

Publisheryonatangross

Repositoryorchestkit

Installs341as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the langgraph skill from yonatangross/orchestkit.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 7e4101dac3c043cc962fd77fc426cfb41ba115ea. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 7e4101dac3c043cc962fd77fc426cfb41ba115ea. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 7e4101dac3c043cc962fd77fc426cfb41ba115ea. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/yonatangross/orchestkit
Pinned skill file: View source at revision
Revision: 7e4101dac3c043cc962fd77fc426cfb41ba115ea
Package hash: sha256:bb5abb78970d6d7fbf28e72374101e00f2d59a050059060a3919e0a304331aeb
Licence: MIT