retro

boshu2/agentops · updated Apr 8, 2026

$npx skills add https://github.com/boshu2/agentops --skill retro
0 commentsdiscussion
summary

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

skill.md

Retro Skill

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

Quick-capture a learning to the knowledge flywheel. For comprehensive retrospectives with backlog processing, activation, and retirement, use /post-mortem.

Quick Mode

Given /retro --quick "insight text" or /retro "insight text":

  1. Generate a slug from the content: first meaningful words, lowercase, hyphens, max 50 chars.
  2. Write directly to .agents/learnings/YYYY-MM-DD-quick-<slug>.md:
---
type: learning
source: retro-quick
date: YYYY-MM-DD
maturity: provisional
utility: 0.5
---

# Learning: <Short Title>

**Category**: <auto-classify: debugging|architecture|process|testing|security>
**Confidence**: medium

## What We Learned

<user's insight text>

## Source

Quick capture via `/retro --quick`
  1. Confirm:
Learned: <one-line summary>
Saved to: .agents/learnings/YYYY-MM-DD-quick-<slug>.md

For comprehensive knowledge extraction, use `/post-mortem`.

Done. Return immediately after confirmation.

Examples

User says: /retro --quick "macOS cp alias prompts on overwrite — use /bin/cp to bypass"

What happens:

  1. Agent generates slug: macos-cp-alias-overwrite
  2. Agent writes learning to .agents/learnings/2026-03-03-quick-macos-cp-alias-overwrite.md
  3. Agent confirms: Learned: macOS cp alias prompts — use /bin/cp

Troubleshooting

Problem Cause Solution
Learning too generic Surface-level capture Be specific: "auth tokens expire after 1h" not "learned about auth"
Duplicate learnings Same insight captured twice Check existing learnings with grep before writing
Need full retrospective Quick capture isn't enough Use /post-mortem for comprehensive extraction + processing

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.750 reviews
  • Shikha Mishra· Dec 28, 2024

    retro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • James Zhang· Dec 28, 2024

    retro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Okafor· Dec 12, 2024

    Registry listing for retro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Tariq Smith· Dec 12, 2024

    Useful defaults in retro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Dec 8, 2024

    Solid pick for teams standardizing on skills: retro is focused, and the summary matches what you get after install.

  • Camila Robinson· Dec 8, 2024

    Solid pick for teams standardizing on skills: retro is focused, and the summary matches what you get after install.

  • Dev Verma· Dec 8, 2024

    I recommend retro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf Agarwal· Nov 27, 2024

    retro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yash Thakker· Nov 19, 2024

    I recommend retro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Luis Li· Nov 19, 2024

    I recommend retro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 50

1 / 5