clean-code

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill clean-code
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summary

Code review and refactoring guidance based on Robert C. Martin's Clean Code principles.

  • Covers nine core areas: meaningful naming conventions, function design (size, single responsibility, argument limits), comment best practices, formatting standards, object and data structure patterns, error handling strategies, unit testing discipline, class design, and code smell identification
  • Provides actionable guidance for writing new code, reviewing pull requests, refactoring legacy code, and e
skill.md

Clean Code Skill

This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."

🧠 Core Philosophy

"Code is clean if it can be read, and enhanced by a developer other than its original author." — Grady Booch

When to Use

Use this skill when:

  • Writing new code: To ensure high quality from the start.
  • Reviewing Pull Requests: To provide constructive, principle-based feedback.
  • Refactoring legacy code: To identify and remove code smells.
  • Improving team standards: To align on industry-standard best practices.

1. Meaningful Names

  • Use Intention-Revealing Names: elapsedTimeInDays instead of d.
  • Avoid Disinformation: Don't use accountList if it's actually a Map.
  • Make Meaningful Distinctions: Avoid ProductData vs ProductInfo.
  • Use Pronounceable/Searchable Names: Avoid genymdhms.
  • Class Names: Use nouns (Customer, WikiPage). Avoid Manager, Data.
  • Method Names: Use verbs (postPayment, deletePage).

2. Functions

  • Small!: Functions should be shorter than you think.
  • Do One Thing: A function should do only one thing, and do it well.
  • One Level of Abstraction: Don't mix high-level business logic with low-level details (like regex).
  • Descriptive Names: isPasswordValid is better than check.
  • Arguments: 0 is ideal, 1-2 is okay, 3+ requires a very strong justification.
  • No Side Effects: Functions shouldn't secretly change global state.

3. Comments

  • Don't Comment Bad Code—Rewrite It: Most comments are a sign of failure to express ourselves in code.
  • Explain Yourself in Code:
    # Check if employee is eligible for full benefits
    if employee.flags & HOURLY and employee.age > 65:
    
    vs
    if employee.isEligibleForFullBenefits():
    
  • Good Comments: Legal, Informative (regex intent), Clarification (external libraries), TODOs.
  • Bad Comments: Mumbling, Redundant, Misleading, Mandated, Noise, Position Markers.

4. Formatting

  • The Newspaper Metaphor: High-level concepts at the top, details at the bottom.
  • Vertical Density: Related lines should be close to each other.
  • Distance: Variables should be declared near their usage.
  • Indentation: Essential for structural readability.

5. Objects and Data Structures

  • Data Abstraction: Hide the implementation behind interfaces.
  • The Law of Demeter: A module should not know about the innards of the objects it manipulates. Avoid a.getB().getC().doSomething().
  • Data Transfer Objects (DTO): Classes with public variables and no functions.

6. Error Handling

  • Use Exceptions instead of Return Codes: Keeps logic clean.
  • Write Try-Catch-Finally First: Defines the scope of the operation.
  • Don't Return Null: It forces the caller to check for null every time.
  • Don't Pass Null: Leads to NullPointerException.

7. Unit Tests

  • The Three Laws of TDD:
    1. Don't write production code until you have a failing unit test.
    2. Don't write more of a unit test than is sufficient to fail.
    3. Don't write more production code than is sufficient to pass the failing test.
  • F.I.R.S.T. Principles: Fast, Independent, Repeatable, Self-Validating, Timely.

8. Classes

  • Small!: Classes should have a single responsibility (SRP).
  • The Stepdown Rule: We want the code to read like a top-down narrative.

9. Smells and Heuristics

  • Rigidity: Hard to change.
  • Fragility: Breaks in many places.
  • Immobility: Hard to reuse.
  • Viscosity: Hard to do the right thing.
  • Needless Complexity/Repetition.

🛠️ Implementation Checklist

  • Is this function smaller than 20 lines?
  • Does this function do exactly one thing?
  • Are all names searchable and intention-revealing?
  • Have I avoided comments by making the code clearer?
  • Am I passing too many arguments?
  • Is there a failing test for this change?
how to use clean-code

How to use clean-code on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill clean-code

The skills CLI fetches clean-code from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/clean-code

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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.432 reviews
  • Aarav Harris· Dec 24, 2024

    Keeps context tight: clean-code is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 16, 2024

    clean-code has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ganesh Mohane· Dec 12, 2024

    clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Tariq Desai· Nov 23, 2024

    clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Fatima Thompson· Nov 19, 2024

    clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yash Thakker· Nov 7, 2024

    Solid pick for teams standardizing on skills: clean-code is focused, and the summary matches what you get after install.

  • Dhruvi Jain· Oct 26, 2024

    We added clean-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zara Ndlovu· Oct 14, 2024

    clean-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Luis Sharma· Oct 10, 2024

    clean-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Tariq Jackson· Sep 25, 2024

    clean-code reduced setup friction for our internal harness; good balance of opinion and flexibility.

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