Agent Introspection Diagnosis provides a systematic workflow for an AI agent to debug its own failures when running into loops, token exhaustion, or drifting from tasks. It guides the agent through a four-phase loop consisting of failure capture, root-cause diagnosis, contained recovery, and an introspection report. Reach for this skill when an agent run fails repeatedly and requires a reproducible diagnosis and structured recovery plan instead of blind retries.
Key Features
Four-phase debugging loop
Failure state capture templates
Root-cause diagnosis patterns
Contained recovery heuristics
Structured self-debug reporting
Privacy & Security
Data Collection
This tool follows industry-standard security practices and only collects data necessary for functionality.