Retro Learn
After a sprint or delivery, you've got bugs, user corrections, failed checks, and context blowouts scattered across session reports and feedback logs. This skill walks you through turning that mess into actual improvements: updated skill rules, new evals, workflow fixes, or tooling changes. It helps you classify each finding (skill gap, eval gap, workflow drift, etc.) and decide whether to patch an existing skill, propose a new one, or add an audit script. The four step process ends with verification, so you're not just documenting problems but closing the loop. It's structured retrospective thinking baked into a repeatable workflow instead of letting lessons learned die in a Slack thread.
- GitHub stars
- 504
- last updated
- Jun 11, 2026
Install
$ npx -y skills add hoangnguyen0403/agent-skills-standard --skill retro-learn --agent claude-codeInstalls into .claude/skills of the current project.
Files
Retro Learn Skill
[!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, verified prevention.
Steps
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- Repository
- github.com/hoangnguyen0403/agent-skills-standard
- Categories
- Documentation, AI & Agent Building, Automation & Workflows
- License
- Apache-2.0
- First seen
- Jun 11, 2026
More from hoangnguyen0403/agent-skills-standard
All 28- Review Ticket
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- Session Report
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- Verify Bug
- Verify Work
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- Caveman
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- Caveman Review
- Code Review
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