llm-agent-orchestration
Build and orchestrate LLM-powered agents. Covers agent architectures (ReAct, Plan-and-Execute, multi-agent), tool use and function calling, LangChain agents, LangGraph workflows, CrewAI multi-agent systems, Autogen, agent memory (short-term, long-term, episodic), agent planning and reasoning, error handling and recovery, agent evaluation and testing, human-in-the-loop patterns, agent observability, production agent deployment, and agent safety guardrails. Use when building LLM agents, implementing tool use, orchestrating multi-agent systems, or deploying agents to production.
- Version
- 1.0
- License
- Apache-2.0
Pinned to revision 45cf0fa3c5e7, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/llm-agent-orchestration/SKILL.md
- skills/llm-agent-orchestration/references/REFERENCE.md
- skills/llm-agent-orchestration/scripts/build_agent.py
- skills/llm-agent-orchestration/scripts/multi_agent.py
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