Meta-Optimize Skill

Goal

Enable the Agentic System to "Learn" from its mistakes by rewriting its own instructions (Skills and Prompts).

Flow

1. Failure Pattern Analysis

Input: metrics/analytics.jsonl or Task Failure Logs. Trigger: A specific skill has failed > 3 times with the same error type. Action: Retrieve the .skill.md file for the failing skill.

2. Diagnosis (The "Why")

Ask the Meta-Architect Persona:

• "Why did ci-autofix fail to solve TS2322?"
• Hypothesis: "The prompt didn't specify checking tsconfig.json strictness."

3. Optimization (The "Rewrite")

Action: Edit the target .skill.md file.

• Add Context: Insert a new "Tip" or "Strategy" block.
• Refine Prompt: Clarify the specific instruction causing ambiguity.
• Example:
  • Before: "Fix the type error."
  • After: "Fix the type error. CHECK tsconfig.json first. Do not use any unless absolutely necessary."

4. Validation

Action: Run a "Regression Test" (if available) or wait for next execution.

• Log the change in meta-evolution.log: "Updated ci-autofix.skill.md: Added tsconfig check."

Safety Guardrails

• Backup: Always backup the original .skill.md before overwriting.
• Limit: Max 1 optimization per skill per day (prevent "drift").
• Human Review: Flag the optimization for human review in project/tasks.md.