AI & Machine Learning

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

Publisher / source

davila7/claude-code-templates (found on skills.sh)

Upstream record

davila7/claude-code-templates

Version

Version 3

Published

2026-11-03

Publication review

Approved for publication · recorded passed scan 2026-11-03

Content fingerprint

0a6db652c056cf4dae78fc1cc9d4ee0c6d63785dcf6b5809e31f5ab94d76248e