Co-Pilot
Updated a month ago

mgrep-code-search

Iintellectronica
0.1k
intellectronica/agent-skills/skills/mgrep-code-search
82
Agent Score

💡 Summary

mgrep enables natural language semantic search across complex codebases for efficient exploration.

🎯 Target Audience

Software developersCode reviewersTechnical writersDevOps engineersData scientists

🤖 AI Roast:The tool may have risks related to arbitrary command execution if misconfigured. Ensure proper validation of input queries to mitigate potential injection attacks.

Security AnalysisMedium Risk

The tool may have risks related to arbitrary command execution if misconfigured. Ensure proper validation of input queries to mitigate potential injection attacks.


name: mgrep-code-search description: Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.

mgrep Code Search

Overview

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional pattern matching falls short.

When to Use This Skill

Use mgrep when:

  • The codebase contains more than 30 non-gitignored files
  • There are nested directory structures
  • Searching for concepts, features, or intent rather than exact strings
  • Exploring an unfamiliar codebase
  • Need to understand "where" or "how" something is implemented

Use traditional grep/ripgrep when:

  • Searching for exact patterns or symbols
  • Regex-based refactoring
  • Tracing specific function or variable names

Quick Start

Indexing

Before searching, start the watcher to index the repository:

bunx @mixedbread/mgrep watch

The watch command indexes the repository and maintains synchronisation with file changes. It respects .gitignore and .mgrepignore patterns.

Searching

bunx @mixedbread/mgrep "your natural language query" [path]

Search Commands

Basic Search

bunx @mixedbread/mgrep "where is authentication configured?" bunx @mixedbread/mgrep "how do we handle errors in API calls?" src/ bunx @mixedbread/mgrep "database connection setup" src/lib

Search Options

| Option | Description | |--------|-------------| | -m <count> | Maximum results (default: 10) | | -c, --content | Display full result content | | -a, --answer | Generate AI-powered synthesis of results | | -s, --sync | Update index before searching | | --no-rerank | Disable relevance optimisation |

Examples with Options

# Get more results bunx @mixedbread/mgrep -m 25 "user authentication flow" # Show full content of matches bunx @mixedbread/mgrep -c "error handling patterns" # Get an AI-synthesised answer bunx @mixedbread/mgrep -a "how does the caching layer work?" # Sync index before searching bunx @mixedbread/mgrep -s "payment processing" src/services

Workflow

  1. Start watcher (once per session or when files change significantly):

    bunx @mixedbread/mgrep watch
  2. Search semantically:

    bunx @mixedbread/mgrep "what you're looking for" [optional/path]
  3. Refine as needed using path constraints or options:

    bunx @mixedbread/mgrep -m 20 -c "refined query" src/specific/directory

Environment Variables

Configure defaults via environment variables:

| Variable | Purpose | |----------|---------| | MGREP_MAX_COUNT | Default result limit | | MGREP_CONTENT | Enable content display (1/true) | | MGREP_ANSWER | Enable AI synthesis (1/true) | | MGREP_SYNC | Pre-search sync (1/true) |

Important Notes

  • Always use bunx @mixedbread/mgrep to run commands (not npm/npx or direct installation)
  • Run bunx @mixedbread/mgrep watch before searching to ensure the index is current
  • mgrep respects .gitignore patterns automatically
  • Create .mgrepignore for additional exclusions
5-Dim Analysis
Clarity9/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

Pros

  • Supports natural language queries
  • Efficient for large codebases
  • Integrates with existing tools
  • Respects .gitignore patterns

Cons

  • Requires initial indexing
  • May not replace traditional grep for exact searches
  • Dependency on bunx for execution
  • Limited to specific use cases

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Copyright belongs to the original author intellectronica.