SuperAPI AI Directory

retro-learn

Writing & research

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Updated 10-15 22:13

About this skill

Retro Learn Skill

[!IMPORTANT] Convert delivery findings into skill, eval, workflow, and documentation improvements.

Instructions

When the user asks to perform this workflow, execute the following steps:

Retro Learn Workflow

Goal: Turn defects, missed expectations, and delivery friction into durable standards improvements.

Steps

  1. Gather evidence:

    • Review findings
    • Bugs found during verification
    • Security findings
    • User corrections
    • Failed or slow checks
    • Token or context pain
    • session-report artifacts, hallucination reports, and feedback logs
  2. Classify:

    • Skill rule gap
    • Eval coverage gap
    • Workflow gap
    • Documentation gap
    • Tooling gap
    • Specialist gap
    • Environment-only issue
  3. Decide action:

    • Existing skill should prevent it: update SKILL.md and evals/evals.json.
    • No skill covers it: propose a new skill.
    • Workflow caused drift: update .agents/workflows.
    • Specialist caused drift: add budget, tool fallback, or output-format rule.
    • Tooling can catch it: add or update an audit script.
  4. Verify learning:

    • Run changed skill validation.
    • Run eval alignment.
    • Record remaining follow-ups.

Output Template

# Retro: [Name]

## Evidence

## Root Causes

| Finding | Category | Action |
| --- | --- | --- |
| [finding] | [category] | [action] |

## Skill Or Eval Updates

## Follow-Ups