langgraph SKILL.md skillA
langgraph from magnus919/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add magnus919/agent-skills/langgraph@v1.0.2Pins v1.0.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- magnus919/agent-skills
- Path
langgraph/SKILL.md- Versions recorded
- 6
- Latest version
- v1.0.2, committed Oct 6, 2026
- First version recorded
- Jul 8, 2026
- Size
- 11,386 bytes
- Repository stars
- 166
- License
- MIT
Build multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows. Covers supervisor, swarm, and hierarchical multi-agent patterns; subgraph composition; state management (checkpointers/stores); persistence; evals; and production debugging. Reach for this when designing agent architectures that need cycles, conditional branching, parallel execution, or human-in-the-loop patterns. Do not use this skill for unrelated requests; route to…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangGraph
LangGraph is LangChain's low-level orchestration framework for building stateful, long-running, multi-agent AI workflows using directed graph architectures (inspired by Pregel/Beam and NetworkX). It models agents as **nodes** in a graph, with **edges** controlling flow — enabling cycles, conditional branching, parallel execution, human-in-the-loop, and subgraph composition that linear chains cannot express.
This skill covers all major patterns for building and deploying LangGraph systems: core graph architecture, the three canonical multi-agent patterns (supervisor, swarm, hierarchical), persistence and state management, production debugging, and evaluation methodology.
> **Before you begin:** Install dependencies:
> ```bash
> pip install langgraph langchain langchain-openai langsmith
> ```
## Quick Start
Create your first LangGraph agent in under 10 lines:
```python
from langgraph.graph import StateGraph, MessagesState, START, END
def hello_agent(state: MessagesState):
return {"messages": [{"role": "ai", "content": "Hello, world!"}]}
graph = StateGraph(MessagesState)
graph.add_node("agent", hello_agent)
graph.add_edge(START, "agent")
…Read the whole file at its exact version.
How to install
mdr add magnus919/agent-skills/langgraph@sha256:1a6bcce0c04baca9The line at the top of this page pins the label v1.0.2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pqe7x2mkdk2iqohw)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jul 8, 2026 and Oct 6, 2026, about one every 18 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.2 latest | 2026-10-06 | 96fbe07 | 11,386 B | A | view · diff |
| v1.0.2 | 2026-09-02 | 035e58d | 11,127 B | A | view · diff |
| v1.0.2 | 2026-07-11 | a5f7e74 | 11,035 B | A | view · diff |
| v1.0.2 | 2026-07-08 | e3bd060 | 11,040 B | A | view · diff |
| v1.0.1 | 2026-07-08 | 2731a3a | 9,619 B | A | view · diff |
| git:20260708.4a73657 | 2026-07-08 | 4a73657 | 7,152 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11386 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
magnus919/agent-skills · 166 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pqe7x2mkdk2iqohw GET https://markdownregistry.com/api/v1/resolve?ref=magnus919/agent-skills/langgraph GET https://markdownregistry.com/api/v1/blob/1a6bcce0c04baca90a71199f7892af4e7a40fec2f82ba6116d04377734e76e70
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from magnus919/agent-skills
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