langgraph-orchestration

LangGraph stateful multi-agent graphs with categorical coordination patterns and cyclic workflows. Use when building stateful AI agent systems, implementing multi-agent orchestration with conditional routing, creating cyclic workflows with persistence, or designing graph-based AI pipelines with checkpointing and human-in-the-loop patterns.

Also in: python github terraform

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install manutej/categorical-meta-prompting/langgraph-orchestration

OpenCode (CLI) Fast

skilz install manutej/categorical-meta-prompting/langgraph-orchestration --agent opencode

OpenAI Codex (CLI) Native

skilz install manutej/categorical-meta-prompting/langgraph-orchestration --agent codex

Gemini CLI (Project) Project

skilz install manutej/categorical-meta-prompting/langgraph-orchestration --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/manutej/categorical-meta-prompting

2. Copy the agent skill directory:

cp -r categorical-meta-prompting/.claude/skills/langgraph-orchestration ~/.claude/skills/

View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: manutej (GitHub)
Repository: categorical-meta-prompting
Type: Technical
Meta-Domain: development
Primary Domain: ci cd
Market Score: 12

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