Summary
Analyzes merged or rejected PRs to extract concrete lessons for future contributions. Runs after PR outcomes to capture what worked (small scope, good tests, clear description) or what failed (too large, missing context, scope creep). Uses gh CLI to pull review comments, timeline, and feedback, then writes structured retrospectives to .agents/learnings with specific evidence from reviewer comments. The workflow categories feedback into style, technical, scope, testing, and process buckets, then converts observations into actionable changes. Best part is it pushes you to learn from successes too, not just rejections. Integrates with DORA metrics and treats contribution quality as a feedback loop worth measuring.
Install to Claude Code
npx -y skills add boshu2/agentops --skill pr-retro --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
