pr-review-fix
Periodically analyze open pull requests for CI failures, code review feedback, and quality issues, then fix them in batch. Use this skill when the user asks to check PR status, triage CI failures, fix review comments, analyze open PRs, or run a scheduled PR health check across the repository.
Install / Use
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill pr-review-fixInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of pr-review-fix
pr-review-fix scores 85/100 on our quality scale, 2373rd of 4,646 Development & Engineering skills we index.
Its SKILL.md is 4.1 KB long, well organised into 11 sections with 1 code example: a solid amount of guidance for an agent.
With 1,124 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 9 days ago, so pr-review-fix is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
pr-review-fix compared with similar skills
All 4 of these similar skills score higher than pr-review-fix; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pr-review-fix (this skill)by TencentCloudBase | 85 | 1.1k | 9d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.9k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install pr-review-fix?
- Run
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill pr-review-fix. The install tabs above show the steps for each supported agent. - Which AI agents does pr-review-fix work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pr-review-fix safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pr-review-fix still maintained?
- The repository was last updated 9 days ago, so pr-review-fix is actively maintained.
Skill content
View source on GitHubname: pr-review-fix description: Periodically analyze open pull requests for CI failures, code review feedback, and quality issues, then fix them in batch. Use this skill when the user asks to check PR status, triage CI failures, fix review comments, analyze open PRs, or run a scheduled PR health check across the repository. alwaysApply: false
PR Review & Fix
Systematically analyze open pull requests for CI failures, code review feedback, and code quality issues — then fix them efficiently.
When to use this skill
Use this skill when you need to:
- Check the status of all open PRs (CI, reviews, conflicts)
- Triage and fix CI build/test failures on PR branches
- Address code review feedback (reviewer comments, requested changes)
- Run a scheduled health check across all open PRs
- Fix multiple PRs in a single session without losing context
Do NOT use for:
- Creating new PRs or new features
- Merging PRs (that's a manual decision)
- General code refactoring unrelated to PR feedback
- Reviewing code as a reviewer (this skill is for responding to reviews)
Workflow
Phase 1 — Discovery
- Read
references/discovery.mdfor the full discovery procedure. - Fetch the list of open PRs from GitHub:
gh pr list --state open --json number,title,headRefName,statusCheckRollup,reviewDecision,mergeable --limit 30 - For each PR, classify its health status:
- 🔴 CI Failed — at least one required check failed
- 🟡 Changes Requested — reviewer left requested changes
- 🟢 Healthy — CI passing + approved or no review yet
- ⚪ Conflict — merge conflicts detected
Phase 2 — Triage
- Read
references/triage.mdfor prioritization rules. - Prioritize by severity: CI failures > review changes > conflicts.
- For each failing PR, identify root cause category:
- Build error — TypeScript/webpack compilation failure
- Test failure — vitest/jest test assertion or timeout
- Lint/type error — ESLint, type-check, or format issues
- Review feedback — code style, logic, security, or design concerns
- Present a summary table to the user before proceeding to fixes.
Phase 3 — Fix
- Read
references/fix-workflow.mdfor the fix procedure. - For each PR to fix (in priority order):
a. Stash current work:
git stashb. Check out the PR branch:git checkout -B <branch> github/<branch>c. Reproduce the issue locally (build, test, or lint) d. Apply the fix e. Verify locally: build → test → lint f. Commit with conventional-changelog format:fix(<scope>): 🔧 <description>g. Push:git push github <branch>h. Return to original branch:git checkout <original> && git stash pop - After all fixes, present a completion summary.
Phase 4 — Verify
- After pushing fixes, wait 1-2 minutes for CI to trigger.
- Check CI status for each fixed PR:
gh pr checks <number> - If CI still fails, loop back to Phase 3 for that PR.
Routing
| Task | Read |
| --- | --- |
| Discover and list open PR status | references/discovery.md |
| Prioritize which PRs to fix first | references/triage.md |
| Execute fixes on PR branches | references/fix-workflow.md |
| Understand project CI pipeline | references/ci-pipeline.md |
| Common fix patterns and recipes | references/fix-recipes.md |
Git safety rules
- Never force-push to a PR branch unless explicitly asked.
- Never amend commits that are already pushed.
- Always stash before switching branches.
- Always verify build + test locally before pushing.
- One commit per fix session — keep the diff reviewable.
Commit conventions
Follow the project's conventional-changelog format:
fix(<scope>): 🔧 <english description>
Where <scope> is the affected module (e.g., cloudrun, security, code-quality, test).
Minimum self-check
- Did you fetch the latest remote state before analyzing?
- Did you reproduce the failure locally before attempting a fix?
- Did you verify build + test pass after applying the fix?
- Did you switch back to the original branch after each fix?
- Did you present a clear summary of what was fixed and what remains?
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
