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Code Quality Principles

  • 161 installs
  • 325 repo stars
  • Updated August 2, 2026
  • athola/claude-night-market

Keep refactors and reviews aligned with KISS, YAGNI, and SOLID so agent-generated code does not accumulate clever abstractions.

About

code-quality-principles is a compact always-on agent skill from the Claude Night Market collection that steers solo builders toward KISS, YAGNI, and SOLID when refactoring or reviewing code for over-engineering. It is not a linter replacement; it supplies decision tables, anti-pattern examples, and readable alternatives in languages such as Python and Rust so coding agents prefer obvious control flow over clever abstractions. Use it whenever you want maintainability guardrails during Ship review or mid-Build cleanup, and skip it for one-off migrations or hotspots where documented performance tradeoffs trump readability. Because alwaysApply is set, the skill nudges everyday edits without a separate invoke ritual—ideal for Cursor or Claude Code sessions where scope creep is the main risk. The guidance fits SaaS backends, CLIs, and APIs where a single founder still owns every layer.

  • Encodes KISS, YAGNI, and SOLID with prefer/avoid tables and language-specific examples
  • alwaysApply: true so the agent weighs simplicity principles during ordinary edits
  • Documents When NOT To Use: throwaway scripts and justified performance readability tradeoffs
  • Pairs Python and Rust snippets showing clever one-liners versus explicit loops and types
  • Estimated ~600 tokens; complexity low with fast model hint for lightweight guardrails

Code Quality Principles by the numbers

  • 161 all-time installs (skills.sh)
  • Ranked #368 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/athola/claude-night-market --skill code-quality-principles

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Listed on Skillselion
Installs161
repo stars325
Security audit3 / 3 scanners passed
Last updatedAugust 2, 2026
Repositoryathola/claude-night-market

What it does

Keep refactors and reviews aligned with KISS, YAGNI, and SOLID so agent-generated code does not accumulate clever abstractions.

Files

SKILL.mdMarkdownGitHub ↗

Code Quality Principles

Guidance on KISS, YAGNI, and SOLID principles with language-specific examples.

When To Use

  • Improving code readability and maintainability
  • Applying SOLID, KISS, YAGNI principles during refactoring

When NOT To Use

  • Throwaway scripts or one-time data migrations
  • Performance-critical code where readability trades are justified

KISS (Keep It Simple, Stupid)

Principle: Avoid unnecessary complexity. Prefer obvious solutions over clever ones.

Guidelines

PreferAvoid
Simple conditionalsComplex regex for simple checks
Explicit codeMagic numbers/strings
Standard patternsClever shortcuts
Direct solutionsOver-abstracted layers

Python Example

# Bad: Overly clever one-liner
users = [u for u in (db.get(id) for id in ids) if u and u.active and not u.banned]

# Good: Clear and readable
users = []
for user_id in ids:
    user = db.get(user_id)
    if user and user.active and not user.banned:
        users.append(user)

Rust Example

// Bad: Unnecessary complexity
fn process(data: &[u8]) -> Result<Vec<u8>, Box<dyn std::error::Error>> {
    data.iter()
        .map(|&b| b.checked_add(1).ok_or("overflow"))
        .collect::<Result<Vec<_>, _>>()
        .map_err(|e| e.into())
}

// Good: Simple and clear
fn process(data: &[u8]) -> Result<Vec<u8>, &'static str> {
    let mut result = Vec::with_capacity(data.len());
    for &byte in data {
        result.push(byte.checked_add(1).ok_or("overflow")?);
    }
    Ok(result)
}

YAGNI (You Aren't Gonna Need It)

Principle: Don't implement features until they are actually needed.

Guidelines

DoDon't
Solve current problemBuild for hypothetical futures
Add when 3rd use case appearsCreate abstractions for 1 use case
Delete dead codeKeep "just in case" code
Minimal viable solutionPremature optimization

Python Example

# Bad: Premature abstraction for one use case
class AbstractDataProcessor:
    def process(self, data): ...
    def validate(self, data): ...
    def transform(self, data): ...

class CSVProcessor(AbstractDataProcessor):
    def process(self, data):
        return self.transform(self.validate(data))

# Good: Simple function until more cases appear
def process_csv(data: list[str]) -> list[dict]:
    return [parse_row(row) for row in data if row.strip()]

TypeScript Example

// Bad: Over-engineered config system
interface ConfigProvider<T> {
  get<K extends keyof T>(key: K): T[K];
  set<K extends keyof T>(key: K, value: T[K]): void;
  watch<K extends keyof T>(key: K, callback: (v: T[K]) => void): void;
}

// Good: Simple config for current needs
const config = {
  apiUrl: process.env.API_URL || 'http://localhost:3000',
  timeout: 5000,
};

SOLID Principles

Single Responsibility Principle

Each module/class should have one reason to change.

# Bad: Multiple responsibilities
class UserManager:
    def create_user(self, data): ...
    def send_welcome_email(self, user): ...  # Email responsibility
    def generate_report(self, users): ...     # Reporting responsibility

# Good: Separated responsibilities
class UserRepository:
    def create(self, data): ...

class EmailService:
    def send_welcome(self, user): ...

class UserReportGenerator:
    def generate(self, users): ...

Open/Closed Principle

Open for extension, closed for modification.

# Bad: Requires modification for new types
def calculate_area(shape):
    if shape.type == "circle":
        return 3.14 * shape.radius ** 2
    elif shape.type == "rectangle":
        return shape.width * shape.height
    # Must modify to add new shapes

# Good: Extensible without modification
from abc import ABC, abstractmethod

class Shape(ABC):
    @abstractmethod
    def area(self) -> float: ...

class Circle(Shape):
    def __init__(self, radius: float):
        self.radius = radius
    def area(self) -> float:
        return 3.14 * self.radius ** 2

Liskov Substitution Principle

Subtypes must be substitutable for their base types.

# Bad: Violates LSP - Square changes Rectangle behavior
class Rectangle:
    def set_width(self, w): self.width = w
    def set_height(self, h): self.height = h

class Square(Rectangle):  # Breaks when used as Rectangle
    def set_width(self, w):
        self.width = self.height = w  # Unexpected side effect

# Good: Separate types with common interface
class Shape(ABC):
    @abstractmethod
    def area(self) -> float: ...

class Rectangle(Shape):
    def __init__(self, width: float, height: float): ...

class Square(Shape):
    def __init__(self, side: float): ...

Interface Segregation Principle

Clients shouldn't depend on interfaces they don't use.

// Bad: Fat interface
interface Worker {
  work(): void;
  eat(): void;
  sleep(): void;
}

// Good: Segregated interfaces
interface Workable {
  work(): void;
}

interface Feedable {
  eat(): void;
}

// Clients only implement what they need
class Robot implements Workable {
  work(): void { /* ... */ }
}

Dependency Inversion Principle

Depend on abstractions, not concretions.

# Bad: Direct dependency on concrete class
class OrderService:
    def __init__(self):
        self.db = PostgresDatabase()  # Tight coupling

# Good: Depend on abstraction
from abc import ABC, abstractmethod

class Database(ABC):
    @abstractmethod
    def save(self, data): ...

class OrderService:
    def __init__(self, db: Database):
        self.db = db  # Injected abstraction

Quick Reference

PrincipleQuestion to AskRed Flag
KISS"Is there a simpler way?"Complex solution for simple problem
YAGNI"Do I need this right now?"Building for hypothetical use cases
SRP"What's the one reason to change?"Class doing multiple jobs
OCP"Can I extend without modifying?"Switch statements for types
LSP"Can subtypes replace base types?"Overridden methods with side effects
ISP"Does client need all methods?"Empty method implementations
DIP"Am I depending on abstractions?"new keyword in business logic

When Principles Conflict

1. KISS vs SOLID: For small projects, KISS wins. Add SOLID patterns as complexity grows. 2. YAGNI vs DIP: Don't add abstractions until you have 2+ implementations. 3. Readability vs DRY: Prefer slight duplication over wrong abstraction.

Integration with Code Review

When reviewing code, check:

  • [ ] No unnecessary complexity (KISS)
  • [ ] No speculative features (YAGNI)
  • [ ] Each class has single responsibility (SRP)
  • [ ] No god classes (> 500 lines)
  • [ ] Dependencies are injected, not created (DIP)

Verification: Run wc -l <file> to check line counts and rg -c "class " <file> (or grep -c "class " <file>) to count classes per file.

Related Skills

  • imbue:karpathy-principles - The "Simplicity First" principle wraps KISS, YAGNI, and SOLID into a four-principle synthesis derived from Karpathy's observations on LLM coding pitfalls
  • See docs/quality-gates.md#skill-level-quality-gate-composition for the full gate-skill federation graph

Exit Criteria

  • [ ] Every proposed code change checked against the integration

review checklist: no unnecessary complexity (KISS), no speculative features (YAGNI), single responsibility per class (SRP), no god classes over 500 lines, dependencies injected not created (DIP)

  • [ ] When KISS and SOLID conflict, the resolution is documented:

KISS wins for small projects, SOLID patterns applied as complexity grows. The choice is explicit, not silent

  • [ ] wc -l <file> run on any modified file and result noted if

the file exceeds 500 lines (god-class threshold)

  • [ ] No new abstraction introduced with only one implementor unless

it serves as a mock boundary for testing

Related skills

FAQ

Is Code Quality Principles safe to install?

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

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