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Skill Debrief

computerlovetech/agr

After you've used an AI agent skill and learned what works or what's missing, this lets you fold that feedback back into the skill's source. It handles the full loop: listen to your notes, propose concrete edits to the SKILL.md, apply them, commit, and re-install via agr upgrade. For in-repo skills it edits directly. For remote ones it offers to fork locally or file a GitHub issue upstream. It's explicit about not interrupting you with checklists, instead taking whatever shape of feedback you offer, whether that's a single sentence or a full retrospective. The boundaries are clear: greenfield authoring and skill installation live elsewhere.

GitHub stars
441
last updated
Jun 9, 2026
View on GitHub

Install

$ npx -y skills add computerlovetech/agr --skill skill-debrief --agent claude-code

Installs into .claude/skills of the current project.

Files

After you've used an AI agent skill and learned what works or what's missing, this lets you fold that feedback back into the skill's source. It handles the full loop: listen to your notes, propose concrete edits to the SKILL.md, apply them, commit, and re-install via agr upgrade. For in-repo skills it edits directly. For remote ones it offers to fork locally or file a GitHub issue upstream. It's explicit about not interrupting you with checklists, instead taking whatever shape of feedback you offer, whether that's a single sentence or a full retrospective. The boundaries are clear: greenfield authoring and skill installation live elsewhere.

Browse the repository on GitHub

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Details

Repository
github.com/computerlovetech/agr
License
MIT
First seen
Jun 11, 2026

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