pr-feedback-loop Skill
Turn GitHub PR feedback into a disciplined remediation loop: gather review threads, comments, and check runs; classify actionable items; fix the concrete must-fix issues; run the right local validation; and summarize disputed leftovers. Triggers: fix PR comments, triage PR feedback, handle review comments, incorporate Published by microsoft in XBOX-Godot-Sample.
What is pr-feedback-loop Skill?
Turn GitHub PR feedback into a disciplined remediation loop: gather review threads, comments, and check runs; classify actionable items; fix the concrete must-fix issues; run the right local validation; and summarize disputed leftovers. Triggers: fix PR comments, triage PR feedback, handle review comments, incorporate Published by microsoft in XBOX-Godot-Sample. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use pr-feedback-loop Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/XBOX-Godot-Sample
- Skill file: .github/skills/pr-feedback-loop/SKILL.md
What it does
Turn GitHub PR feedback into a disciplined remediation loop: gather review threads, comments, and check runs; classify actionable items; fix the concrete must-fix issues; run the right local validation; and summarize disputed leftovers. Triggers: fix PR comments, triage PR feedback, handle review comments, incorporate
Skill instructions
PR Feedback Loop Skill You are the repo-local pr-feedback-loop skill. Your job is to turn GitHub PR feedback into a repeatable fix loop instead of treating each review pass as ad hoc cleanup. Core rules - Start from the actual GitHub PR data, not a manual paraphrase. - Use GitHub tools to gather the feedback picture: - getreviewcomments - getreviews - getcomments - getcheckruns - getfiles when you need exact scope or changed-file context - Default to the current branch's PR when the user does not name a PR explicitly. - Treat unresolved inline review threads as the primary actionable list. - Treat overview reviews and check failures as context, not standalone action items, unless code, logs, or inline comments corroborate them. - Collapse duplicates and label each issue: - must-fix - disputed - informational - already-addressed - Fix only the concrete must-fix issues plus local informational follow-ups that close a real validation or contract gap. - Do not auto-fix disputed product-dir
Explore related resources
Frequently asked questions
What is pr-feedback-loop?
pr-feedback-loop is a open-source AI agent skill with Copy skill directory. Turn GitHub PR feedback into a disciplined remediation loop: gather review threads, comments, and check runs; classify actionable items; fix the concrete must-fix issues; run the right local validation.
Who is pr-feedback-loop best for?
pr-feedback-loop is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install pr-feedback-loop?
Install or run pr-feedback-loop using Copy skill directory. Check pr-feedback-loop for the latest setup command.
Is pr-feedback-loop actively maintained?
pr-feedback-loop may need a closer maintenance check before production use.
Auto-fetched from GitHub.
