What problem does it solve?
This Skill identifies failures, corrections, and alignment gaps in an agent session so recurring mistakes can be diagnosed and converted into durable improvements.
Core Features & Use Cases
- Failure Detection: Scans conversations for explicit corrections, tool failures, omitted verification, premature completion, and other behavioral signals.
- Root-Cause Analysis: Classifies failures across missing, undiscovered, ignored, ambiguous, or incorrect context and task-framing issues.
- Enforced Improvements: Prescribes fixes across rule cards, stop classifiers, tool gates, pre-commit hooks, skills, and documentation, prioritizing mechanisms that prevent recurrence.
- Use Case: After an autopilot or deep-qa session, use this Skill to analyze what went wrong, verify whether existing enforcement caught it, and produce targeted patches with a concise retrospective summary.
Quick Start
Ask the retrospect skill to analyze the current session for failures and propose or apply durable fixes.