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project-conventions

Guides discovery and application of project-specific conventions including code patterns, naming, structure, and team practices. Use when exploring a codebase or implementing features to match existing patterns.

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Project Conventions

This skill guides you in discovering and applying project-specific conventions. Every codebase has its own patterns and practices - your job is to find them and follow them.

Convention Discovery Process

Step 1: Project Configuration

Check these files for explicit conventions:

Code Style:

  • .eslintrc*, eslint.config.* - JavaScript/TypeScript linting rules
  • .prettierrc*, prettier.config.* - Formatting rules
  • pyproject.toml, setup.cfg, .flake8 - Python config
  • .editorconfig - Editor settings
  • ruff.toml, .ruff.toml - Ruff linter config

Project Structure:

  • tsconfig.json - TypeScript paths and settings
  • package.json - Scripts, dependencies
  • pyproject.toml - Python project config

Documentation:

  • CONTRIBUTING.md - Contribution guidelines
  • CLAUDE.md - AI coding guidelines
  • README.md - Project overview
  • docs/ - Extended documentation

Step 2: Existing Code Patterns

Study the codebase to find implicit conventions:

File Organization:

# Find how components are organized
ls -la src/components/

# Find test file patterns
find . -name "*.test.*" -o -name "*_test.*" -o -name "test_*"

# Find how utilities are organized
ls -la src/utils/ src/lib/ src/helpers/

Naming Patterns:

# Find function naming patterns
grep -r "^export function" src/ | head -20
grep -r "^def " src/ | head -20

# Find class naming patterns
grep -r "^export class" src/ | head -20
grep -r "^class " src/*.py | head -20

Import Patterns:

# Find import style (absolute vs relative)
grep -r "^import" src/ | head -30
grep -r "^from \." src/*.py | head -20

Step 3: Similar Features

Find features similar to what you're building:

  1. Search for similar functionality:

``bash # If building a "user profile" feature grep -r "profile" src/ find . -name "profile" ``

  1. Study the implementation:
  2. How is it structured?
  3. What patterns does it use?
  4. How does it handle errors?
  5. How is it tested?
  1. Note the patterns:
  2. Component structure
  3. State management approach
  4. API call patterns
  5. Validation approach

Common Convention Areas

Naming Conventions

Discover by example:

# Function names
grep -E "^(export )?(async )?function " src/**/*.ts

# Variable names
grep -E "^(const|let|var) " src/**/*.ts

# Component names
grep -E "^(export )?function [A-Z]" src/**/*.tsx

Common patterns:

  • camelCase for functions/variables
  • PascalCase for components/classes
  • UPPER_SNAKE for constants
  • kebab-case for file names (some projects)
  • snake_case for file names (Python)

File Structure

Discover the pattern:

# Component structure
ls -la src/components/Button/

# Module structure
ls -la src/features/auth/

Common patterns:

Flat structure:

components/
  Button.tsx
  Button.test.tsx
  Button.styles.ts

Folder per component:

components/
  Button/
    index.ts
    Button.tsx
    Button.test.tsx
    Button.module.css

Feature-based:

features/
  auth/
    components/
    hooks/
    api.ts
    types.ts

Error Handling

Discover the pattern:

# Find try-catch patterns
grep -A5 "try {" src/**/*.ts

# Find error types
grep -r "extends Error" src/

# Find error handling in API
grep -r "catch" src/api/

Apply what you find:

  • Use the same error types
  • Follow the same handling pattern
  • Match logging approach

Testing Patterns

Discover the pattern:

# Find test structure
head -50 src/**/*.test.ts

# Find test utilities
cat src/test/setup.ts
cat src/test/utils.ts

Match the patterns:

  • Test file location (co-located vs separate)
  • Naming convention (.test.ts vs .spec.ts)
  • Setup and teardown approach
  • Mocking strategy
  • Assertion style

API Patterns

Discover the pattern:

# Find API call patterns
grep -r "fetch\|axios\|api\." src/

# Find API response handling
grep -A10 "async function fetch" src/api/

Match the patterns:

  • How are endpoints defined?
  • How is authentication handled?
  • What's the error format?
  • How are responses typed?

Convention Application Checklist

When implementing a feature, verify you're following conventions for:

Code Style

  • [ ] Variable naming matches existing code
  • [ ] Function naming matches existing code
  • [ ] File naming follows project pattern
  • [ ] Import style matches (absolute vs relative)

Structure

  • [ ] File location follows project structure
  • [ ] Component organization matches
  • [ ] Export style matches (default vs named)

Patterns

  • [ ] Error handling follows project patterns
  • [ ] Async patterns match existing code
  • [ ] State management follows project approach
  • [ ] API calls follow established patterns

Testing

  • [ ] Test file location is correct
  • [ ] Test naming follows convention
  • [ ] Test structure matches existing tests
  • [ ] Mocking approach is consistent

Documentation

  • [ ] Comments follow existing style
  • [ ] JSDoc/docstrings match project
  • [ ] README updates if needed

When Conventions Conflict

Sometimes you'll find inconsistent patterns:

  1. Prefer newer code - Recent files often reflect current team preferences
  2. Prefer maintained code - Active parts of the codebase reflect current practices
  3. Prefer documented conventions - Explicit rules in configs override implicit patterns
  4. Ask if unclear - When in doubt, ask the user which pattern to follow

Red Flags

Watch for these signs that you might be breaking conventions:

  • Your code looks very different from surrounding code
  • You're using a library/pattern not used elsewhere
  • Your file structure doesn't match siblings
  • Your naming feels inconsistent with the codebase
  • Linting errors (the project has explicit rules you're breaking)

When you notice these, stop and investigate the existing conventions more carefully.

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