Enforces best practices for writing readable, maintainable, and clear code.

Install

mkdir -p .claude/skills/clean-code-repairyourtech && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14732" && unzip -o skill.zip -d .claude/skills/clean-code-repairyourtech && rm skill.zip

Installs to .claude/skills/clean-code-repairyourtech

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Applies battle-tested clean code principles to writing, reviewing, and refactoring code. Covers naming, functions, comments, error handling, class design, and the critical difference between clever code and clear code.
218 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Choose names that reveal intent.
  • Design functions to perform one single task.
  • Limit function parameters to 0-3, using options objects for more.
  • Write comments explaining why, not what.
  • Handle errors explicitly and specifically.
  • Identify and refactor repeated logic.

How it works

This skill applies clean code principles to improve code quality by providing guidelines on naming conventions, function design, parameter handling, commenting, error management, and code organization. It emphasizes clarity and maintainability over cleverness.

Inputs & outputs

You give it
Codebase or code changes
You get back
Clean, maintainable, and readable code

When to use clean-code

  • Refactor messy code
  • Review pull requests
  • Write clear new features

About this skill

Clean Code

Code is read 10x more than it's written. Every naming choice, every function boundary, every abstraction layer either helps or hurts the next person who reads it — including future you.

When to Use

  • Writing any new code
  • Reviewing pull requests
  • Refactoring existing code
  • When code "works but feels wrong"

Stack-Specific References

The principles below are language-agnostic. For idiomatic patterns and syntax, read the reference matching your surface's Languages column:

LanguageReference
TypeScript / JavaScriptreferences/typescript.md
Pythonreferences/python.md
Goreferences/go.md
Rustreferences/rust.md

Core Principles

1. Names Are Documentation

Names should reveal intent. If a name requires a comment to explain it, the name is wrong.

BadGoodWhy
delapsedDaysWhat is d?
listactiveUsersWhat kind of list?
processData()validateAndSaveOrder()What processing?
tempfilteredResultsTemporary what?
flagisEligibleForDiscountWhat flag?
doStuff()sendWelcomeEmail()What stuff?
ManagerOrderProcessorManager of what?
UtilsStringFormatterUtil for what?

Rules:

  • Classes/types → nouns (UserRepository, PaymentGateway)
  • Functions → verbs (calculateTotal, sendNotification)
  • Booleans → questions (isActive, hasPermission, canEdit)
  • Constants → screaming snake with context (MAX_RETRY_ATTEMPTS, not MAX)
  • No abbreviations unless universally understood (id, url, api are fine; usr, mgr, proc are not)

2. Functions Should Do One Thing

A function that does one thing well is easy to name, test, and reuse. A function that does three things is hard to name, impossible to test independently, and couples three responsibilities.

The test: Can you describe the function without using "and"? If not, split it.

❌ processOrder(order)
   — validates order
   — calculates total with tax
   — saves to database
   — sends confirmation email

✅ validateOrder(order)        → throws if invalid
   calculateOrderTotal(items) → returns numeric total
   submitOrder(order)         → orchestrates the above

Function size limits:

  • Ideal: 5-15 lines
  • Acceptable: up to 30 lines
  • Needs splitting: 30+ lines
  • Unacceptable: 50+ lines (split immediately)

3. Parameters

  • 0-2 parameters: ideal
  • 3 parameters: acceptable with named/destructured args
  • 4+ parameters: use an options object/struct/dataclass
  • Boolean parameters: almost always a code smell — split into two functions
❌ createUser(name, isAdmin)
✅ createUser(name)  /  createAdmin(name)

❌ sendEmail(to, from, subject, body, cc)
✅ sendEmail(options)   ← options is a structured type

4. Comments: Why, Not What

Good code doesn't need comments to explain WHAT it does. Comments should explain WHY — the non-obvious reasoning, business rules, or constraints.

❌ // Increment counter by one
   counter += 1

❌ // Check if user is admin
   if user.role == "admin"

✅ // Stripe requires amount in cents, not dollars
   amountInCents = round(price * 100)

✅ // FDA regulation 21 CFR Part 11 requires audit trail
   auditLog.record(changeEvent)

✅ // WARNING: This query locks the orders table — avoid during peak hours
   db.execute(batchUpdateQuery)

Delete these comments immediately:

  • // TODO: fix this later — fix it now or create a tracked issue
  • // This is a hack — then don't commit the hack
  • // I don't know why this works — figure it out before shipping
  • Commented-out code — delete it; version control has your history

5. Error Handling

Errors are not edge cases — they're expected behavior. Handle them explicitly.

❌ try { save(order) } catch { log("error") }
   → What error? What happens to the order?

❌ try { processPayment(order) } catch { throw Error("Something went wrong") }
   → Useless to the caller

✅ try {
     processPayment(order)
   } catch InsufficientFundsError:
     return { success: false, code: "INSUFFICIENT_FUNDS", retry: false }
   catch PaymentGatewayError:
     logger.error("Payment gateway failure", { orderId: order.id })
     return { success: false, code: "GATEWAY_ERROR", retry: true }
   catch unknown:
     rethrow  → Unknown errors bubble up

6. Don't Repeat Yourself (DRY) — But Don't Over-Abstract

DRY violation — same logic copy-pasted in 3+ places:

tax1 = price1 * 0.08
tax2 = price2 * 0.08
tax3 = price3 * 0.08
→ Extract: calculateTax(price)

Over-abstraction — premature DRY that couples unrelated things:

❌ handleEntity(type, action, data)  → "universal" handler for everything

Rule of Three: Duplicate once is acceptable. Duplicate twice means extract.

7. Code Organization

                        High-level policy (business logic)
                               │
                               ▼
                     ┌─────────────────────┐
                     │   Domain Layer       │  Pure logic, no I/O
                     │   (models, rules)    │
                     └─────────────────────┘
                               │
                     ┌─────────────────────┐
                     │   Application Layer  │  Orchestrates domain objects
                     │   (use cases)        │
                     └─────────────────────┘
                               │
                     ┌─────────────────────┐
                     │   Infrastructure     │  I/O, databases, APIs
                     │   (adapters)         │
                     └─────────────────────┘
                               │
                        Low-level detail (frameworks, drivers)
  • Dependencies point inward (infrastructure depends on domain, not reverse)
  • Business logic never imports from infrastructure
  • Test domain logic without databases, APIs, or frameworks

Quick Refactoring Checklist

Before committing code, check:

  • Can I understand every function in <10 seconds?
  • Are there any functions >30 lines?
  • Are there any files >200 lines (components) or >300 lines (utilities)?
  • Do all names reveal intent without needing comments?
  • Is there any copy-pasted logic (3+ occurrences)?
  • Are errors handled specifically, not swallowed or genericized?
  • Would a new team member understand this without asking me?

When not to use it

  • When the code is not intended for long-term maintenance.
  • When prioritizing 'clever' over 'clear' code.
  • When working in a language not supported by the specific references.

Limitations

  • The principles are language-agnostic but require language-specific references for idiomatic patterns.
  • Function size limits are defined (e.g., 5-15 lines ideal, 50+ unacceptable).
  • Boolean parameters are considered a code smell.

How it compares

This skill offers specific, actionable rules and examples for clean code, such as the 'Rule of Three' for DRY and function size limits, providing a structured approach to code improvement.

Compared to similar skills

clean-code side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
clean-code (this skill)04moNo flagsIntermediate
ast-grep-find37moReviewIntermediate
naming-analyzer26moReviewBeginner
dead-code17moReviewIntermediate

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