retro-learn
$
npx mdskill add HoangNguyen0403/agent-skills-standard/retro-learn> [!IMPORTANT] > Convert delivery findings into skill, eval, workflow, and documentation improvements.
SKILL.md
.github/skills/retro-learnView on GitHub ↗
---
name: retro-learn
description: "Convert delivery findings into skill, eval, workflow, and documentation improvements."
metadata:
triggers:
keywords:
- retro learn
- workflow
---
# 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
```md
# Retro: [Name]
## Evidence
## Root Causes
| Finding | Category | Action |
| --- | --- | --- |
| [finding] | [category] | [action] |
## Skill Or Eval Updates
## Follow-Ups
```