by SpillwaveSolutions · Agent Tool · ★ 41
Mastering LangGraph Agent Skill Build stateful AI agents and agentic workflows with LangGraph in Python. This skill provides comprehensive guidance for tool-using agents, branching workflows, conversation memory, human-in-the-loop oversight, multi-agent systems, and production deployment. Table of Contents Overview Key Concepts Quick Start Reference Documentation Requirements Installation License Overview This skill covers essential LangGraph patterns for building production-ready AI agents: Multi-step pipelines with conditional r
| Stars | 41 |
| Forks | 2 |
| Category | Agent Tool |
| Quality Score | 72.6369667033291/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-20 |
| Created | 2025-12-29 |
| Platforms | claude-code |
| Est. Tokens | ~4k |
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mastering-langgraph-agent-skill is Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents, branching workflows, memory persistence, human-in-the-loop, multi-agent systems, and production deplo. It is categorized as a Agent Tool with 41 GitHub stars.
You can find installation instructions and usage details in the mastering-langgraph-agent-skill GitHub repository at github.com/SpillwaveSolutions/mastering-langgraph-agent-skill. The project has 41 stars and 2 forks, indicating an active community.