clean-code▌
pproenca/dot-skills · updated May 19, 2026
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Comprehensive software craftsmanship guide based on Robert C. Martin's "Clean Code: A Handbook of Agile Software Craftsmanship", updated with modern corrections where the original 2008 advice has been superseded. Contains 48 rules across 10 categories, prioritized by impact to guide code reviews, refactoring decisions, and new development. Examples are primarily in Java but principles are language-agnostic.
Robert C. Martin (Uncle Bob) Clean Code Best Practices
Comprehensive software craftsmanship guide based on Robert C. Martin's "Clean Code: A Handbook of Agile Software Craftsmanship", updated with modern corrections where the original 2008 advice has been superseded. Contains 48 rules across 10 categories, prioritized by impact to guide code reviews, refactoring decisions, and new development. Examples are primarily in Java but principles are language-agnostic.
When to Apply
Reference these guidelines when:
- Writing new functions, classes, or modules
- Naming variables, functions, classes, or files
- Reviewing code for maintainability issues
- Refactoring existing code to improve clarity
- Writing or improving unit tests
- Wrapping third-party dependencies
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Meaningful Names | CRITICAL | name- |
| 2 | Functions | CRITICAL | func- |
| 3 | Comments | HIGH | cmt- |
| 4 | Formatting | HIGH | fmt- |
| 5 | Error Handling | HIGH | err- |
| 6 | Objects and Data Structures | MEDIUM-HIGH | obj- |
| 7 | Boundaries | MEDIUM-HIGH | bound- |
| 8 | Classes and Systems | MEDIUM-HIGH | class- |
| 9 | Unit Tests | MEDIUM | test- |
| 10 | Emergence and Simple Design | MEDIUM | emerge- |
Quick Reference
1. Meaningful Names (CRITICAL)
name-intention-revealing- Use names that reveal intentname-avoid-disinformation- Avoid misleading namesname-meaningful-distinctions- Make meaningful distinctionsname-pronounceable- Use pronounceable namesname-searchable- Use searchable namesname-avoid-encodings- Avoid encodings in namesname-class-noun- Use noun phrases for class namesname-method-verb- Use verb phrases for method names
2. Functions (CRITICAL)
func-small- Keep functions smallfunc-one-thing- Functions should do one thingfunc-abstraction-level- Maintain one level of abstractionfunc-minimize-arguments- Minimize function argumentsfunc-no-side-effects- Avoid side effectsfunc-command-query-separation- Separate commands from queriesfunc-dry- Do not repeat yourself
3. Comments (HIGH)
cmt-express-in-code- Express yourself in code, not commentscmt-explain-intent- Use comments to explain intentcmt-avoid-redundant- Avoid redundant commentscmt-avoid-commented-out-code- Delete commented-out codecmt-warning-consequences- Use warning comments for consequences
4. Formatting (HIGH)
fmt-vertical-formatting- Use vertical formatting for readabilityfmt-horizontal-alignment- Avoid horizontal alignmentfmt-team-rules- Follow team formatting rulesfmt-indentation- Respect indentation rules
5. Error Handling (HIGH)
err-use-exceptions- Separate error handling from happy patherr-write-try-catch-first- Write try-catch-finally firsterr-provide-context- Provide context with exceptionserr-define-by-caller-needs- Define exceptions by caller needserr-avoid-null- Avoid returning and passing null
6. Objects and Data Structures (MEDIUM-HIGH)
obj-data-abstraction- Hide data behind abstractionsobj-data-object-asymmetry- Understand data/object anti-symmetryobj-law-of-demeter- Follow the Law of Demeterobj-avoid-hybrids- Avoid hybrid data-object structuresobj-dto- Use DTOs for data transfer
7. Boundaries (MEDIUM-HIGH)
bound-wrap-third-party- Wrap third-party APIsbound-learning-tests- Write learning tests for third-party code
8. Classes and Systems (MEDIUM-HIGH)
class-small- Keep classes smallclass-cohesion- Maintain class cohesionclass-organize-for-change- Organize classes for changeclass-isolate-from-change- Isolate classes from changeclass-separate-concerns- Separate construction from use
9. Unit Tests (MEDIUM)
test-first-law- Follow the three laws of TDDtest-keep-clean- Keep tests cleantest-one-assert- One concept per testtest-first-principles- Follow FIRST principlestest-build-operate-check- Use Build-Operate-Check pattern
10. Emergence and Simple Design (MEDIUM)
emerge-simple-design- Follow the four rules of simple designemerge-expressiveness- Maximize expressiveness
How to Use
Read individual reference files for detailed explanations and code examples:
- Section definitions - Category structure and impact levels
- Rule template - Template for adding new rules
Reference Files
| File | Description |
|---|---|
| references/_sections.md | Category definitions and ordering |
| assets/templates/_template.md | Template for new rules |
| metadata.json | Version and reference information |
How to use clean-code 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 clean-code
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches clean-code from GitHub repository pproenca/dot-skills 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 clean-code. Access the skill through slash commands (e.g., /clean-code) 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★★★★★41 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
Solid pick for teams standardizing on skills: clean-code is focused, and the summary matches what you get after install.
- ★★★★★Nia Gill· Dec 16, 2024
Useful defaults in clean-code — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kofi Verma· Dec 12, 2024
Registry listing for clean-code matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aisha Diallo· Dec 4, 2024
clean-code has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Rao· Nov 23, 2024
clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakshi Patil· Nov 15, 2024
We added clean-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chinedu Taylor· Nov 7, 2024
clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Li Harris· Oct 26, 2024
Keeps context tight: clean-code is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aisha Huang· Oct 14, 2024
We added clean-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Oct 6, 2024
clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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