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skills/smithery/ai/cursor-codebase-indexing

cursor-codebase-indexing

SKILL.md

Cursor Codebase Indexing

Overview

What is Codebase Indexing?

Codebase indexing creates a searchable representation of your code:
- Enables @codebase queries
- Powers semantic code search
- Improves AI context awareness
- Helps AI understand project structure

Prerequisites

  • Cursor IDE installed and authenticated
  • Project workspace with source files
  • Sufficient disk space for index storage
  • Stable network connection for initial setup

Instructions

  1. Open your project in Cursor
  2. Navigate to Settings > Cursor > Codebase Indexing
  3. Enable "Index this workspace"
  4. Create .cursorignore file at project root
  5. Add exclusion patterns for large/irrelevant directories
  6. Wait for indexing to complete (check status bar)
  7. Test with @codebase queries in chat

Output

  • Indexed codebase enabling @codebase queries
  • Semantic code search functionality
  • Improved AI context awareness
  • Searchable symbol table and definitions

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

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smithery/ai
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