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siva323388siva323388/claudeCode/.cursor/rules/common-patterns.md

claudeCode / rules

Cursor rule0 starsChanged 2 months agoMITView on GitHub

Common patterns: repository, API response, skeleton projects

20 other projects use a version of this.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Most recently taken up by

The file

We split this common-patterns.md into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When implementing new functionality:

    line 9
  2. Distinctive:

    Search for battle-tested skeleton projects

    line 10
  3. Distinctive:

    Use parallel agents to evaluate options:

    line 11
  4. Distinctive:

    Use a consistent envelope for all API responses:

    line 31

≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
common-patterns.md

Common Patterns

Skeleton Projects

When implementing new functionality:

  1. Search for battle-tested skeleton projects
  2. Use parallel agents to evaluate options:
    • Security assessment
    • Extensibility analysis
    • Relevance scoring
    • Implementation planning
  3. Clone best match as foundation
  4. Iterate within proven structure

Design Patterns

Repository Pattern

Encapsulate data access behind a consistent interface:

  • Define standard operations: findAll, findById, create, update, delete
  • Concrete implementations handle storage details (database, API, file, etc.)
  • Business logic depends on the abstract interface, not the storage mechanism
  • Enables easy swapping of data sources and simplifies testing with mocks

API Response Format

Use a consistent envelope for all API responses:

  • Include a success/status indicator
  • Include the data payload (nullable on error)
  • Include an error message field (nullable on success)
  • Include metadata for paginated responses (total, page, limit)

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