retro

安装量: 256
排名: #3423

安装

npx skills add https://github.com/boshu2/agentops --skill retro

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 . Flags Flag Default Description --quick "text" off Quick-capture a single learning directly to .agents/learnings/ without running a full retrospective. Quick Mode Given /retro --quick "insight text" or /retro "insight text" : Quick Step 1: Generate Slug Create a slug from the content: first meaningful words, lowercase, hyphens, max 50 chars. Quick Step 2: Write Learning Directly Write to: .agents/learnings/YYYY-MM-DD-quick-.md


type : learning source : retro - quick date : YYYY - MM - DD


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

What We Learned < user's insight text

Source Quick capture via /retro --quick This skips the pool pipeline — writes directly to learnings, not .agents/knowledge/pending/ . Quick Step 3: Confirm Learned: Saved to: .agents/learnings/YYYY-MM-DD-quick-.md For comprehensive knowledge extraction, use /post-mortem. Done. Return immediately after confirmation. Full Retrospective For comprehensive knowledge extraction with backlog processing and activation, use: /post-mortem The /post-mortem skill includes all retro functionality plus: Council validation of completed work Backlog deduplication and scoring Auto-promotion to MEMORY.md Stale learning retirement Harvest next work items Examples Quick Capture User says: /retro --quick "macOS cp alias prompts on overwrite — use /bin/cp to bypass" What happens: Agent generates slug: macos-cp-alias-overwrite Agent writes learning to .agents/learnings/2026-03-03-quick-macos-cp-alias-overwrite.md Agent confirms: Learned: macOS cp alias prompts — use /bin/cp Result: Learning captured in 5 seconds, indexed for future sessions. 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

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