Tags
Description
Metadata
- name:iterate-pr
- description:Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
Iterate on PR Until CI Passes
Continuously iterate on the current branch until all CI checks pass and review feedback is addressed.
Requires: GitHub CLI (gh) authenticated and available.
Process
Step 1: Identify the PR
gh pr view --json number,url,headRefName,baseRefName
If no PR exists for the current branch, stop and inform the user.
Step 2: Check CI Status First
Always check CI/GitHub Actions status before looking at review feedback:
gh pr checks --json name,state,bucket,link,workflow
The bucket field categorizes state into: pass, fail, pending, skipping, or cancel.
Important: If any of these checks are still pending, wait before proceeding:
sentry/sentry-iocodecovcursor/bugbot/seer- Any linter or code analysis checks
These bots may post additional feedback comments once their checks complete. Waiting avoids duplicate work.
Step 3: Gather Review Feedback
Once CI checks have completed (or at least the bot-related checks), gather human and bot feedback:
Review Comments and Status:
gh pr view --json reviews,comments,reviewDecision
Inline Code Review Comments:
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments
PR Conversation Comments (includes bot comments):
gh api repos/{owner}/{repo}/issues/{pr_number}/comments
Look for bot comments from: Sentry, Codecov, Cursor, Bugbot, Seer, and other automated tools.
Step 4: Investigate Failures
For each CI failure, get the actual logs:
# List recent runs for this branch
gh run list --branch $(git branch --show-current) --limit 5 --json databaseId,name,status,conclusion
# View failed logs for a specific run
gh run view <run-id> --log-failed
Do NOT assume what failed based on the check name alone. Always read the actual logs.
Step 5: Validate Feedback
For each piece of feedback (CI failure or review comment):
- Read the relevant code - Understand the context before making changes
- Verify the issue is real - Not all feedback is correct; reviewers and bots can be wrong
- Check if already addressed - The issue may have been fixed in a subsequent commit
- Skip invalid feedback - If the concern is not legitimate, move on
Step 6: Address Valid Issues
Make minimal, targeted code changes. Only fix what is actually broken.
Step 7: Commit and Push
git add -A
git commit -m "fix: <descriptive message of what was fixed>"
git push
Step 8: Wait for CI
Use the built-in watch functionality:
gh pr checks --watch --interval 30
This waits until all checks complete. Exit code 0 means all passed, exit code 1 means failures.
Alternatively, poll manually if you need more control:
gh pr checks --json name,state,bucket | jq '.[] | select(.bucket != "pass")'
Step 9: Repeat
Return to Step 2 if:
- Any CI checks failed
- New review feedback appeared
Continue until all checks pass and no unaddressed feedback remains.
Exit Conditions
Success:
- All CI checks are green (
bucket: pass) - No unaddressed human review feedback
Ask for Help:
- Same failure persists after 3 attempts (likely a flaky test or deeper issue)
- Review feedback requires clarification or decision from the user
- CI failure is unrelated to branch changes (infrastructure issue)
Stop Immediately:
- No PR exists for the current branch
- Branch is out of sync and needs rebase (inform user)
Tips
- Use
gh pr checks --requiredto focus only on required checks - Use
gh run view <run-id> --verboseto see all job steps, not just failures - If a check is from an external service, the
linkfield in checks JSON provides the URL to investigate
Related Skills
You might also be interested in these
istio-traffic-management
Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.
Command Development
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
modal
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.