extract▌
pbakaus/impeccable · updated Apr 8, 2026
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Identify and extract reusable components, design tokens, and patterns into a cohesive design system.
- ›Analyzes target areas to find repeated UI patterns, hard-coded values, and inconsistent variations worth systematizing
- ›Guides extraction planning including component APIs, token hierarchies, naming conventions, and migration strategies
- ›Emphasizes incremental growth: extract only patterns used 3+ times or with clear reuse potential, avoiding over-generalization
- ›Includes accessibilit
Identify reusable patterns, components, and design tokens, then extract and consolidate them into the design system for systematic reuse.
Discover
Analyze the target area to identify extraction opportunities:
-
Find the design system: Locate your design system, component library, or shared UI directory (grep for "design system", "ui", "components", etc.). Understand its structure:
- Component organization and naming conventions
- Design token structure (if any)
- Documentation patterns
- Import/export conventions
CRITICAL: If no design system exists, ask before creating one. Understand the preferred location and structure first.
-
Identify patterns: Look for:
- Repeated components: Similar UI patterns used multiple times (buttons, cards, inputs, etc.)
- Hard-coded values: Colors, spacing, typography, shadows that should be tokens
- Inconsistent variations: Multiple implementations of the same concept (3 different button styles)
- Reusable patterns: Layout patterns, composition patterns, interaction patterns worth systematizing
-
Assess value: Not everything should be extracted. Consider:
- Is this used 3+ times, or likely to be reused?
- Would systematizing this improve consistency?
- Is this a general pattern or context-specific?
- What's the maintenance cost vs benefit?
Plan Extraction
Create a systematic extraction plan:
- Components to extract: Which UI elements become reusable components?
- Tokens to create: Which hard-coded values become design tokens?
- Variants to support: What variations does each component need?
- Naming conventions: Component names, token names, prop names that match existing patterns
- Migration path: How to refactor existing uses to consume the new shared versions
IMPORTANT: Design systems grow incrementally. Extract what's clearly reusable now, not everything that might someday be reusable.
Extract & Enrich
Build improved, reusable versions:
-
Components: Create well-designed components with:
- Clear props API with sensible defaults
- Proper variants for different use cases
- Accessibility built in (ARIA, keyboard navigation, focus management)
- Documentation and usage examples
-
Design tokens: Create tokens with:
- Clear naming (primitive vs semantic)
- Proper hierarchy and organization
- Documentation of when to use each token
-
Patterns: Document patterns with:
- When to use this pattern
- Code examples
- Variations and combinations
NEVER:
- Extract one-off, context-specific implementations without generalization
- Create components so generic they're useless
- Extract without considering existing design system conventions
- Skip proper TypeScript types or prop documentation
- Create tokens for every single value (tokens should have semantic meaning)
Migrate
Replace existing uses with the new shared versions:
- Find all instances: Search for the patterns you've extracted
- Replace systematically: Update each use to consume the shared version
- Test thoroughly: Ensure visual and functional parity
- Delete dead code: Remove the old implementations
Document
Update design system documentation:
- Add new components to the component library
- Document token usage and values
- Add examples and guidelines
- Update any Storybook or component catalog
Remember: A good design system is a living system. Extract patterns as they emerge, enrich them thoughtfully, and maintain them consistently.
How to use extract 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 extract
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches extract from GitHub repository pbakaus/impeccable 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 extract. Access the skill through slash commands (e.g., /extract) 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★★★★★25 reviews- ★★★★★Noor Huang· Dec 20, 2024
extract is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 8, 2024
Registry listing for extract matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Oshnikdeep· Nov 27, 2024
extract reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noor Jain· Nov 19, 2024
extract has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Charlotte Sethi· Nov 11, 2024
Solid pick for teams standardizing on skills: extract is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Oct 18, 2024
I recommend extract for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakura Martin· Oct 10, 2024
Useful defaults in extract — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noor Anderson· Oct 2, 2024
We added extract from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Rahul Santra· Sep 25, 2024
Useful defaults in extract — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diego Smith· Sep 25, 2024
extract is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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