# autonomous-agents

> Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.  This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

- Author: Kevin Collins
- Repository: Claude-Code-Community-Ireland/claude-code-resources
- Version: 20260130115427
- Stars: 3
- Forks: 0
- Last Updated: 2026-02-08
- Source: https://github.com/Claude-Code-Community-Ireland/claude-code-resources
- Web: https://mule.run/skillshub/@@Claude-Code-Community-Ireland/claude-code-resources~autonomous-agents:20260130115427