Build reliable autonomous agents
autonomous-agentsskillsetup L4★0
Sheshiyer/skill-clusters ↗What it does
Build and tune reliable autonomous agents
Best for
When building multi-step agents that need reliability guarantees across 10+ steps with clear failure probability bounds.
Inputs
- · goal description
Outputs
- · agent loop plan
- · guardrail configuration
Requires
- · LangGraph
- · AutoGPT
- · CrewAI
- · Claude Agent SDK
Preconditions
Multi-step task with decomposable subgoals
Failure modes
Compounding error rates across steps; plan failures cascade unless bounded
Trust signals
- · 95% → 60% error rate analysis over 10 steps
- · ReAct pattern with explicit reasoning traces
- · Plan-Execute with human approval checkpoints