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Clean Code

  • 901 installs
  • 29.9k repo stars
  • Updated July 27, 2026
  • davila7/claude-code-templates

clean-code is a Claude Code skill that enforces pragmatic coding standards—concise, direct, and free of over-engineering—for developers using AI agents to write production code.

About

clean-code is a CRITICAL-priority Claude Code skill (version 2.0) from davila7/claude-code-templates that keeps agent-generated codebases concise, readable, and free of over-engineering. It codifies SRP, DRY, KISS, YAGNI, and Boy Scout principles with explicit rules against unnecessary comments and bloated abstractions. Allowed tools are Read, Write, and Edit so the skill shapes code as agents produce it. Developers invoke clean-code when AI output drifts verbose, over-abstracted, or comment-heavy and they want consistent pragmatic standards across functions and classes.

  • Enforces 5 core principles: SRP, DRY, KISS, YAGNI, Boy Scout Rule
  • Implements strict naming conventions that reveal intent without comments
  • Limits functions to 20 lines maximum with 0-3 arguments and no side effects
  • Applies guard clauses, early returns, and single level of abstraction
  • CRITICAL priority skill that leaves every file cleaner than it was found

Clean Code by the numbers

  • 901 all-time installs (skills.sh)
  • +26 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #143 of 1,382 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/davila7/claude-code-templates --skill clean-code

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Listed on Skillselion
Installs901
repo stars29.9k
Security audit1 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorydavila7/claude-code-templates

How do you stop AI agents from over-engineering code?

Make every agent-generated codebase concise, readable, and free of over-engineering.

Who is it for?

Developers using Claude Code agents who want CRITICAL-priority guardrails against verbose or over-engineered generated code.

Skip if: Teams needing formal security audits or lint rule enforcement should use dedicated review or linter skills instead of clean-code style guidance.

When should I use this skill?

Agent output is verbose, over-abstracted, comment-heavy, or violates SRP, DRY, KISS, or YAGNI principles.

What you get

Refactored concise code, reduced abstractions, pragmatic functions following clean-code rules

  • Simplified code changes
  • Refactored functions

By the numbers

  • Skill version 2.0 with CRITICAL priority
  • Allowed tools: Read, Write, Edit

Files

SKILL.mdMarkdownGitHub ↗

Clean Code - Pragmatic AI Coding Standards

CRITICAL SKILL - Be concise, direct, and solution-focused.

---

Core Principles

PrincipleRule
SRPSingle Responsibility - each function/class does ONE thing
DRYDon't Repeat Yourself - extract duplicates, reuse
KISSKeep It Simple - simplest solution that works
YAGNIYou Aren't Gonna Need It - don't build unused features
Boy ScoutLeave code cleaner than you found it

---

Naming Rules

ElementConvention
VariablesReveal intent: userCount not n
FunctionsVerb + noun: getUserById() not user()
BooleansQuestion form: isActive, hasPermission, canEdit
ConstantsSCREAMING_SNAKE: MAX_RETRY_COUNT
Rule: If you need a comment to explain a name, rename it.

---

Function Rules

RuleDescription
SmallMax 20 lines, ideally 5-10
One ThingDoes one thing, does it well
One LevelOne level of abstraction per function
Few ArgsMax 3 arguments, prefer 0-2
No Side EffectsDon't mutate inputs unexpectedly

---

Code Structure

PatternApply
Guard ClausesEarly returns for edge cases
Flat > NestedAvoid deep nesting (max 2 levels)
CompositionSmall functions composed together
ColocationKeep related code close

---

AI Coding Style

SituationAction
User asks for featureWrite it directly
User reports bugFix it, don't explain
No clear requirementAsk, don't assume

---

Anti-Patterns (DON'T)

❌ Pattern✅ Fix
Comment every lineDelete obvious comments
Helper for one-linerInline the code
Factory for 2 objectsDirect instantiation
utils.ts with 1 functionPut code where used
"First we import..."Just write code
Deep nestingGuard clauses
Magic numbersNamed constants
God functionsSplit by responsibility

---

🔴 Before Editing ANY File (THINK FIRST!)

Before changing a file, ask yourself:

QuestionWhy
What imports this file?They might break
What does this file import?Interface changes
What tests cover this?Tests might fail
Is this a shared component?Multiple places affected

Quick Check:

File to edit: UserService.ts
└── Who imports this? → UserController.ts, AuthController.ts
└── Do they need changes too? → Check function signatures
🔴 Rule: Edit the file + all dependent files in the SAME task.
🔴 Never leave broken imports or missing updates.

---

Summary

DoDon't
Write code directlyWrite tutorials
Let code self-documentAdd obvious comments
Fix bugs immediatelyExplain the fix first
Inline small thingsCreate unnecessary files
Name things clearlyUse abbreviations
Keep functions smallWrite 100+ line functions
Remember: The user wants working code, not a programming lesson.

---

🔴 Self-Check Before Completing (MANDATORY)

Before saying "task complete", verify:

CheckQuestion
Goal met?Did I do exactly what user asked?
Files edited?Did I modify all necessary files?
Code works?Did I test/verify the change?
No errors?Lint and TypeScript pass?
Nothing forgotten?Any edge cases missed?
🔴 Rule: If ANY check fails, fix it before completing.

---

Verification Scripts (MANDATORY)

🔴 CRITICAL: Each agent runs ONLY their own skill's scripts after completing work.

Agent → Script Mapping

AgentScriptCommand
frontend-specialistUX Auditpython ~/.claude/skills/frontend-design/scripts/ux_audit.py .
frontend-specialistA11y Checkpython ~/.claude/skills/frontend-design/scripts/accessibility_checker.py .
backend-specialistAPI Validatorpython ~/.claude/skills/api-patterns/scripts/api_validator.py .
mobile-developerMobile Auditpython ~/.claude/skills/mobile-design/scripts/mobile_audit.py .
database-architectSchema Validatepython ~/.claude/skills/database-design/scripts/schema_validator.py .
security-auditorSecurity Scanpython ~/.claude/skills/vulnerability-scanner/scripts/security_scan.py .
seo-specialistSEO Checkpython ~/.claude/skills/seo-fundamentals/scripts/seo_checker.py .
seo-specialistGEO Checkpython ~/.claude/skills/geo-fundamentals/scripts/geo_checker.py .
performance-optimizerLighthousepython ~/.claude/skills/performance-profiling/scripts/lighthouse_audit.py <url>
test-engineerTest Runnerpython ~/.claude/skills/testing-patterns/scripts/test_runner.py .
test-engineerPlaywrightpython ~/.claude/skills/webapp-testing/scripts/playwright_runner.py <url>
Any agentLint Checkpython ~/.claude/skills/lint-and-validate/scripts/lint_runner.py .
Any agentType Coveragepython ~/.claude/skills/lint-and-validate/scripts/type_coverage.py .
Any agenti18n Checkpython ~/.claude/skills/i18n-localization/scripts/i18n_checker.py .
WRONG: test-engineer running ux_audit.py
CORRECT: frontend-specialist running ux_audit.py

---

🔴 Script Output Handling (READ → SUMMARIZE → ASK)

When running a validation script, you MUST:

1. Run the script and capture ALL output 2. Parse the output - identify errors, warnings, and passes 3. Summarize to user in this format:

## Script Results: [script_name.py]

### ❌ Errors Found (X items)
- [File:Line] Error description 1
- [File:Line] Error description 2

### ⚠️ Warnings (Y items)
- [File:Line] Warning description

### ✅ Passed (Z items)
- Check 1 passed
- Check 2 passed

**Should I fix the X errors?**

4. Wait for user confirmation before fixing 5. After fixing → Re-run script to confirm

🔴 VIOLATION: Running script and ignoring output = FAILED task.
🔴 VIOLATION: Auto-fixing without asking = Not allowed.
🔴 Rule: Always READ output → SUMMARIZE → ASK → then fix.

Related skills

Forks & variants (1)

Clean Code has 1 known copy in the catalog totaling 2 installs. They canonicalize to this original listing.

How it compares

Use clean-code for ongoing pragmatic style guardrails; use formal code-review skills when you need structured PR checklists or security-focused review.

FAQ

What principles does clean-code enforce?

clean-code (v2.0) enforces SRP, DRY, KISS, YAGNI, and Boy Scout rules, prioritizing concise, direct solutions without unnecessary comments or over-engineered abstractions in agent-written code.

When should developers enable clean-code?

Developers should enable clean-code when AI agents produce verbose, over-abstracted, or comment-heavy code and they want CRITICAL-priority pragmatic standards applied during Read, Write, and Edit operations.

Is Clean Code safe to install?

skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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