refactor-plan
Create a detailed plan for this refactoring task.
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Installation Guide
How to use refactor-plan 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
refactor-plan
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches refactor-plan from github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate refactor-plan. Access via /refactor-plan in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Refactor Plan
Create a detailed plan for this refactoring task.
Refactor Goal
{{refactor_description}}
Instructions
- Search the codebase to understand current state
- Identify all affected files and their dependencies
- Plan changes in a safe sequence (types first, then implementations, then tests)
- Include verification steps between changes
- Consider rollback if something fails
Output Format
## Refactor Plan: [title]
### Current State
[Brief description of how things work now]
### Target State
[Brief description of how things will work after]
### Affected Files
| File | Change Type | Dependencies |
|------|-------------|--------------|
| path | modify/create/delete | blocks X, blocked by Y |
### Execution Plan
#### Phase 1: Types and Interfaces
- [ ] Step 1.1: [action] in `file.ts`
- [ ] Verify: [how to check it worked]
#### Phase 2: Implementation
- [ ] Step 2.1: [action] in `file.ts`
- [ ] Verify: [how to check]
#### Phase 3: Tests
- [ ] Step 3.1: Update tests in `file.test.ts`
- [ ] Verify: Run `npm test`
#### Phase 4: Cleanup
- [ ] Remove deprecated code
- [ ] Update documentation
### Rollback Plan
If something fails:
1. [Step to undo]
2. [Step to undo]
### Risks
- [Potential issue and mitigation]
Shall I proceed with Phase 1?
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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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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premortem
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Reviews
- SShikha Mishra★★★★★Dec 20, 2024
refactor-plan is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAnika Agarwal★★★★★Dec 16, 2024
Keeps context tight: refactor-plan is the kind of skill you can hand to a new teammate without a long onboarding doc.
- JJin Okafor★★★★★Dec 12, 2024
We added refactor-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYash Thakker★★★★★Nov 11, 2024
Keeps context tight: refactor-plan is the kind of skill you can hand to a new teammate without a long onboarding doc.
- CCharlotte Dixit★★★★★Nov 7, 2024
refactor-plan is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAmelia Perez★★★★★Nov 3, 2024
Useful defaults in refactor-plan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- CCarlos Kapoor★★★★★Oct 26, 2024
refactor-plan fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- DDaniel Dixit★★★★★Oct 22, 2024
refactor-plan has been reliable in day-to-day use. Documentation quality is above average for community skills.
- DDhruvi Jain★★★★★Oct 2, 2024
Registry listing for refactor-plan matched our evaluation — installs cleanly and behaves as described in the markdown.
- OOshnikdeep★★★★★Sep 9, 2024
refactor-plan reduced setup friction for our internal harness; good balance of opinion and flexibility.
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