What problem does it solve?
When an AI agent repeatedly makes the same mistake, treating each complaint as a one-off criticism wastes the signal. This Skill turns confirmed repeated user friction into a diagnostic workflow that classifies root causes and fixes them with code (hooks, lints, guards) instead of prompt-level apologies.
Core Features & Use Cases
- Evidence-Gated Triggering: Searches thread history to confirm a complaint is genuinely repeated before opening any diagnosis, avoiding over-triggering on common words like "again".
- Root Cause Classification: Sorts confirmed issues into harness defects, architecture limits, execution lapses, repeatable new capabilities, or taste signals, each with a distinct handling path.
- Structured Diagnosis Output: Emits interactive decision cards when operator judgment is needed, or result cards after autonomous fixes, always including root cause, evidence, and disposition.
- Use Case: An operator says "you forgot to commit again". The agent searches history, finds three prior occurrences across two threads, classifies it as a harness defect, and proposes a pre-commit hook fix via an interactive card.
Quick Start
Ask the agent to investigate whether a repeated mistake has happened before and propose a code-level fix instead of an apology.