describe-pr▌
parcadei/continuous-claude-v3 · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
You are tasked with generating a comprehensive pull request description following the repository's standard template.
Generate PR Description
You are tasked with generating a comprehensive pull request description following the repository's standard template.
Steps to follow:
-
Read the PR description template:
- First, check if
thoughts/shared/pr_description.mdexists - If it doesn't exist, inform the user they need to create a PR description template at
thoughts/shared/pr_description.md - Read the template carefully to understand all sections and requirements
- First, check if
-
Identify the PR to describe:
- Check if the current branch has an associated PR:
gh pr view --json url,number,title,state 2>/dev/null - If no PR exists for the current branch, or if on main/master, list open PRs:
gh pr list --limit 10 --json number,title,headRefName,author - Ask the user which PR they want to describe
- Check if the current branch has an associated PR:
-
Check for existing description:
- Check if
thoughts/shared/prs/{number}_description.mdalready exists - If it exists, read it and inform the user you'll be updating it
- Consider what has changed since the last description was written
- Check if
-
Gather comprehensive PR information:
- Get the full PR diff:
gh pr diff {number} - If you get an error about no default remote repository, instruct the user to run
gh repo set-defaultand select the appropriate repository - Get commit history:
gh pr view {number} --json commits - Review the base branch:
gh pr view {number} --json baseRefName - Get PR metadata:
gh pr view {number} --json url,title,number,state
- Get the full PR diff:
4b. Gather reasoning history (if available):
- Check if reasoning files exist:
ls .git/claude/commits/*/reasoning.md 2>/dev/null - If they exist, aggregate them:
bash "$CLAUDE_PROJECT_DIR/.claude/scripts/aggregate-reasoning.sh" main - This shows what approaches were tried before the final solution
- Save the output for inclusion in the PR description
-
Analyze the changes thoroughly: (ultrathink about the code changes, their architectural implications, and potential impacts)
- Read through the entire diff carefully
- For context, read any files that are referenced but not shown in the diff
- Understand the purpose and impact of each change
- Identify user-facing changes vs internal implementation details
- Look for breaking changes or migration requirements
-
Handle verification requirements:
- Look for any checklist items in the "How to verify it" section of the template
- For each verification step:
- If it's a command you can run (like
make check test,npm test, etc.), run it - If it passes, mark the checkbox as checked:
- [x] - If it fails, keep it unchecked and note what failed:
- [ ]with explanation - If it requires manual testing (UI interactions, external services), leave unchecked and note for user
- If it's a command you can run (like
- Document any verification steps you couldn't complete
-
Generate the description:
- Fill out each section from the template thoroughly:
- Answer each question/section based on your analysis
- Be specific about problems solved and changes made
- Focus on user impact where relevant
- Include technical details in appropriate sections
- Write a concise changelog entry
- If reasoning files were found (from step 4b):
- Add an "## Approaches Tried" section before "## How to verify it"
- Include the aggregated reasoning showing failed attempts and what was learned
- This helps reviewers understand the journey, not just the destination
- Ensure all checklist items are addressed (checked or explained)
- Fill out each section from the template thoroughly:
-
Save the description:
- Write the completed description to
thoughts/shared/prs/{number}_description.md - Show the user the generated description
- Write the completed description to
-
Update the PR:
- Update the PR description directly:
gh pr edit {number} --body-file thoughts/shared/prs/{number}_description.md - Confirm the update was successful
- If any verification steps remain unchecked, remind the user to complete them before merging
- Update the PR description directly:
Important notes:
- This command works across different repositories - always read the local template
- Be thorough but concise - descriptions should be scannable
- Focus on the "why" as much as the "what"
- Include any breaking changes or migration notes prominently
- If the PR touches multiple components, organize the description accordingly
- Always attempt to run verification commands when possible
- Clearly communicate which verification steps need manual testing
How to use describe-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 describe-pr
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches describe-pr from GitHub repository parcadei/continuous-claude-v3 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 describe-pr. Access the skill through slash commands (e.g., /describe-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
4.6★★★★★44 reviews- ★★★★★Aanya Dixit· Dec 24, 2024
Registry listing for describe-pr matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakura Sanchez· Dec 16, 2024
describe-pr is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 8, 2024
Useful defaults in describe-pr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Emma Gill· Dec 8, 2024
Keeps context tight: describe-pr is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Dec 4, 2024
describe-pr fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Nov 27, 2024
describe-pr has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Layla White· Nov 27, 2024
Registry listing for describe-pr matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Luis Diallo· Nov 15, 2024
Keeps context tight: describe-pr is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Srinivasan· Nov 7, 2024
describe-pr reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Li White· Oct 26, 2024
Registry listing for describe-pr matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 44