code-quality

samhvw8/dotfiles · updated Apr 8, 2026

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$npx skills add https://github.com/samhvw8/dotfiles --skill code-quality
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summary

Systematic code improvement through review, refactoring, and debugging with verification gates.

skill.md

Code Quality

Systematic code improvement through review, refactoring, and debugging with verification gates.

Module Selection

Need Module Reference
Receive Feedback Review references/code-review-reception.md
Request Review Review references/requesting-code-review.md
Verify Before Claim Review references/verification-before-completion.md
Reduce Complexity Refactoring references/oop-refactoring-catalog.md
Functional Patterns Refactoring references/functional-refactoring-patterns.md
Find Code Smells Refactoring references/code-smells-reference.md
Test Strategies Refactoring references/testing-strategies.md
Investigate Bugs Debugging references/systematic-debugging.md
Trace Root Cause Debugging references/root-cause-tracing.md
Add Validation Debugging references/defense-in-depth.md
Verify Fix Debugging references/verification.md

Core Principles

YAGNI, KISS, DRY - Always honor these.

Be honest, be brutal, straight to the point, and be concise.

Technical correctness over social comfort. Verify before implementing. Ask before assuming. Evidence before claims.


Code Review

Receiving Feedback

Pattern: READ → UNDERSTAND → VERIFY → EVALUATE → RESPOND → IMPLEMENT

Rules:

  • ❌ No performative agreement ("You're right!", "Great point!")
  • ❌ No implementation before verification
  • ✅ Restate requirement, ask questions, push back with reasoning
  • ✅ YAGNI check: grep for usage before implementing suggestions

Sources:

  • Human partner → Implement after understanding
  • External reviewer → Verify technically before implementing

Requesting Review

When: After major features, before merge, after complex fixes

Process:

  1. Get SHAs: BASE_SHA=$(git rev-parse HEAD~1), HEAD_SHA=$(git rev-parse HEAD)
  2. Dispatch code-reviewer subagent with: WHAT, PLAN, SHAs, DESCRIPTION
  3. Fix Critical immediately, Important before proceeding, note Minor

Verification Gates

Iron Law: NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE

Gate: IDENTIFY → RUN → READ → VERIFY → THEN claim

Skip any step = lying, not verifying.


Refactoring

Mindset

Simplify relentlessly. Preserve behavior religiously. Measure everything.

Every refactoring: small and safe, tested immediately, measurably better.

Protocol

  1. Assessment - Baseline metrics, identify smells, classify debt
  2. Safety Net - Verify test coverage, add characterization tests
  3. Red-Green-Refactor - Write failing test, minimal pass, improve design
  4. Pattern Application - SOLID, design patterns, functional transforms
  5. Validation - Measure improvements, verify behavior preserved

Code Smells (5 Categories)

  1. Bloaters: Long Method, Large Class, Long Parameter List
  2. OO Abusers: Switch Statements, Temporary Field
  3. Change Preventers: Divergent Change, Shotgun Surgery
  4. Dispensables: Duplicate Code, Dead Code, Lazy Class
  5. Couplers: Feature Envy, Inappropriate Intimacy

Quick Patterns

OOP: Extract Method, Inline, Replace Temp with Query, Guard Clauses Functional: Map/Filter/Reduce, Pure Functions, Composition, Immutability


Debugging

Core Principle

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

Random fixes waste time and create new bugs.

The Four Techniques

1. Systematic Debugging (references/systematic-debugging.md)

  • Phase 1: Root Cause Investigation
  • Phase 2: Pattern Analysis
  • Phase 3: Hypothesis Testing
  • Phase 4: Implementation

2. Root Cause Tracing (references/root-cause-tracing.md) Trace backward through call stack to find original trigger.

3. Defense-in-Depth (references/defense-in-depth.md) Validate at every layer: Entry → Business logic → Environment → Debug

4. Verification (references/verification.md) Run command. Read output. Then claim result.

Quick Reference

Bug → systematic-debugging.md (Phase 1-4)
  Error deep in stack? → root-cause-tracing.md
  Found root cause? → defense-in-depth.md
  About to claim success? → verification.md

Red Flags

Stop if thinking:

  • "Quick fix for now, investigate later"
  • "Just try changing X and see"
  • "It's probably X, let me fix that"
  • "Should work now" / "Seems fixed"

References

Code Review

  • references/code-review-reception.md - Response protocols
  • references/requesting-code-review.md - Request process
  • references/verification-before-completion.md - Verification gates

Refactoring

  • references/oop-refactoring-catalog.md - Martin Fowler's patterns
  • references/functional-refactoring-patterns.md - FP transformations
  • references/code-smells-reference.md - 23 smells, 5 categories
  • references/testing-strategies.md - Characterization tests, TDD

Debugging

  • references/systematic-debugging.md - Four-phase framework
  • references/root-cause-tracing.md - Call stack analysis
  • references/defense-in-depth.md - Multi-layer validation
  • references/verification.md - Verification protocols

Bottom Line

  1. Review: Technical rigor over social performance
  2. Refactor: Small, safe, tested, measurable
  3. Debug: Root cause first, fix once
  4. Always: Evidence before claims

Verify. Question. Then implement. Evidence. Then claim.

how to use code-quality

How to use code-quality 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 code-quality
2

Execute installation command

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

$npx skills add https://github.com/samhvw8/dotfiles --skill code-quality

The skills CLI fetches code-quality from GitHub repository samhvw8/dotfiles 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/code-quality

Reload or restart Cursor to activate code-quality. Access the skill through slash commands (e.g., /code-quality) 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

4.834 reviews
  • Omar Chawla· Dec 28, 2024

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

  • Kiara Sethi· Dec 28, 2024

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

  • Ama Jackson· Nov 19, 2024

    Registry listing for code-quality matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Benjamin Park· Nov 19, 2024

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

  • Omar Sethi· Oct 10, 2024

    Useful defaults in code-quality — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kaira Abbas· Oct 10, 2024

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

  • Meera Thompson· Sep 17, 2024

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

  • Yash Thakker· Sep 1, 2024

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

  • Dhruvi Jain· Aug 20, 2024

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

  • Meera Chen· Aug 8, 2024

    I recommend code-quality for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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