Retro Learn Skill

SkillDocs & knowledge

Convert delivery findings into skill, eval, workflow, and documentation improvements.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Retro Learn Skill skill

What this skill tells your AI

The instructions your AI receives, as published by hoangnguyen0403/agent-skills-standard in .codex/skills/retro-learn/SKILL.md and read by ahel’s review.

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

Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.

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
  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, 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.

Runtime Contract

  • Use after delivery findings, corrections, or friction need converting into durable standards improvements.
  • Required inputs: review findings, verification results, or session-report artifacts to classify.
  • Return BLOCKED only when no evidence exists to classify.

Handoff Payload

  • slug, root causes, skill/eval updates, follow-ups, next workflow.

Blocking Questions

  • Ask max 3 at a time with a recommended default and 2-3 options.

Output Template

# Retro: [Name]

## Evidence

## Root Causes

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

## Skill Or Eval Updates

## Outcome Report
feature_status: implemented
requirement_trace: BRD-OBJ-* -> REQ-* -> AC-* -> SRS-* -> evidence
completed_evidence: []; missing_evidence: []; decision_needed: []; recommended_next_workflow: none

## Next Workflow

## Follow-Ups

## Cost Report
Call `get_session_cost(workflow="retro-learn")` before final handoff.

Signals

GitHub stars
565
Forks
163
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
retro-learn
Source
github.com/hoangnguyen0403/agent-skills-standard