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pattern-detection

Identify existing codebase patterns (naming conventions, architectural patterns, testing patterns) to maintain consistency. Use when generating code, reviewing changes, or understanding established practices. Ensures new code aligns with project conventions.

$ Installer

git clone https://github.com/rsmdt/the-startup /tmp/the-startup && cp -r /tmp/the-startup/plugins/team/skills/cross-cutting/pattern-detection ~/.claude/skills/the-startup

// tip: Run this command in your terminal to install the skill


name: pattern-detection description: Identify existing codebase patterns (naming conventions, architectural patterns, testing patterns) to maintain consistency. Use when generating code, reviewing changes, or understanding established practices. Ensures new code aligns with project conventions.

Pattern Recognition

When to Use

  • Before writing new code to ensure consistency with existing patterns
  • During code review to verify alignment with established conventions
  • When onboarding to understand project-specific practices
  • Before refactoring to preserve intentional design decisions

Core Methodology

Pattern Discovery Process

  1. Survey representative files: Read 3-5 files of the type you will create or modify
  2. Identify recurring structures: Note repeated patterns in naming, organization, imports
  3. Verify intentionality: Check if patterns are documented or consistently applied
  4. Apply discovered patterns: Use the same conventions in new code

Priority Order for Pattern Sources

  1. Existing code in the same module/feature - Most authoritative
  2. Project style guides or CONTRIBUTING.md - Explicit documentation
  3. Test files - Often reveal expected patterns and naming
  4. Similar files in adjacent modules - Fallback when no direct examples exist

Naming Convention Recognition

File Naming Patterns

Detect and follow the project's file naming style:

PatternExampleCommon In
kebab-caseuser-profile.tsNode.js, Vue, Angular
PascalCaseUserProfile.tsxReact components
snake_caseuser_profile.pyPython
camelCaseuserProfile.jsLegacy JS, Java

Function/Method Naming

Identify the project's verb conventions:

  • get vs fetch vs retrieve for data access
  • create vs add vs new for creation
  • update vs set vs modify for mutations
  • delete vs remove vs destroy for deletion
  • is/has/can/should prefixes for booleans

Variable Naming

Detect pluralization and specificity patterns:

  • Singular vs plural for collections (user vs users vs userList)
  • Hungarian notation presence (strName, iCount)
  • Private member indicators (_private, #private, mPrivate)

Architectural Pattern Recognition

Layer Identification

Recognize how the codebase separates concerns:

COMMON LAYERING PATTERNS:
- MVC: controllers/, models/, views/
- Clean Architecture: domain/, application/, infrastructure/
- Hexagonal: core/, adapters/, ports/
- Feature-based: features/auth/, features/billing/
- Type-based: components/, services/, utils/

Dependency Direction

Identify import patterns that reveal architecture:

  • Which modules import from which (dependency flow)
  • Shared vs feature-specific code boundaries
  • Framework code vs application code separation

State Management Patterns

Recognize how state flows through the application:

  • Global stores (Redux, Vuex, MobX patterns)
  • React Context usage patterns
  • Service layer patterns for backend state
  • Event-driven vs request-response patterns

Testing Pattern Recognition

Test Organization

Identify how tests are structured:

PatternStructureExample
Co-locatedsrc/user.ts, src/user.test.tsCommon in modern JS/TS
Mirror treesrc/user.ts, tests/src/user.test.tsTraditional, Java-style
Feature-basedsrc/user/, src/user/__tests__/React, organized features

Test Naming Conventions

Detect the project's test description style:

  • BDD style: it('should return user when found')
  • Descriptive: test('getUser returns user when id exists')
  • Function-focused: test_get_user_returns_user_when_found

Test Structure Patterns

Recognize Arrange-Act-Assert or Given-When-Then patterns:

  • Setup block conventions (beforeEach, fixtures, factories)
  • Assertion style (expect vs assert vs should)
  • Mock/stub patterns (jest.mock vs sinon vs manual)

Code Organization Patterns

Import Organization

Identify import ordering and grouping:

COMMON IMPORT PATTERNS:
1. External packages first, internal modules second
2. Grouped by type (React, libraries, local)
3. Alphabetized within groups
4. Absolute imports vs relative imports preference

Export Patterns

Recognize module boundary conventions:

  • Default exports vs named exports preference
  • Barrel files (index.ts re-exports) presence
  • Public API definition patterns

Comment and Documentation Patterns

Identify documentation conventions:

  • JSDoc/TSDoc presence and style
  • Inline comment frequency and style
  • README conventions per module/feature

Best Practices

  • Follow existing patterns even if imperfect - Consistency trumps personal preference
  • Document deviations explicitly - When breaking patterns intentionally, explain why
  • Pattern changes require migration - Dont introduce new patterns without updating existing code
  • Check tests for patterns too - Test code often reveals expected conventions
  • Prefer explicit over implicit - When patterns are unclear, ask or document assumptions

Anti-Patterns to Avoid

  • Mixing naming conventions in the same codebase
  • Introducing new architectural patterns without team consensus
  • Assuming patterns from other projects apply here
  • Ignoring test patterns when writing implementation
  • Creating "special" files that dont follow established structure

References

  • examples/common-patterns.md - Concrete examples of pattern recognition in action