iterate-pr▌
davila7/claude-code-templates · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Continuously iterate on the current branch until all CI checks pass and review feedback is addressed.
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
How to use iterate-pr on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add iterate-pr
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches iterate-pr from GitHub repository davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate iterate-pr. Access the skill through slash commands (e.g., /iterate-pr) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★60 reviews- ★★★★★Yuki Choi· Dec 20, 2024
We added iterate-pr from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 8, 2024
Registry listing for iterate-pr matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aditi Jain· Dec 8, 2024
Useful defaults in iterate-pr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Ndlovu· Dec 8, 2024
Keeps context tight: iterate-pr is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mia Gill· Dec 4, 2024
Solid pick for teams standardizing on skills: iterate-pr is focused, and the summary matches what you get after install.
- ★★★★★Isabella Diallo· Nov 27, 2024
I recommend iterate-pr for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Olivia Tandon· Nov 27, 2024
We added iterate-pr from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mia Rao· Nov 23, 2024
iterate-pr has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Evelyn Abebe· Nov 15, 2024
iterate-pr fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aditi Iyer· Nov 11, 2024
Keeps context tight: iterate-pr is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 60