sgrep

Search code repositories by semantic meaning using natural-language queries.

42|2|Updated Nov 23, 2025
One-click install
npx skills add https://github.com/Rika-Labs/sgrep --skill sgrep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sgrep
Source: https://github.com/Rika-Labs/sgrep/tree/main/plugins/sgrep/skills/sgrep
Command: npx skills add https://github.com/Rika-Labs/sgrep --skill sgrep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables semantic code search across codebases, allowing you to locate relevant implementations using natural language queries rather than brittle text matches. It saves time digging through large repositories and reduces cognitive load when exploring unfamiliar code.

Core Features & Use Cases

  • Semantic search: query code meaning rather than exact tokens, surfacing relevant patterns like authentication, error handling, or database access.
  • Indexing & performance: builds and utilizes an index to deliver fast results across large repos.
  • Automation-friendly outputs: supports JSON output for automation and agent integrations, enabling scripted analysis or summaries.

Quick Start

Ensure sgrep is installed and available in your environment, then run: sgrep search "how is user authentication implemented?"

Frequently Asked Questions about sgrep

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search code by meaning instead of exact text matches?

Semantic code search uses natural language queries to find code patterns by meaning rather than token matching. Run `sgrep search "your query"` to locate relevant implementations like authentication logic, error handling, or database connections across your repository without brittle text-based searches.

Can I search for specific code patterns like authentication or error handling across a large repository?

Yes. sgrep builds an index of your codebase and enables fast semantic search for patterns like authentication, error handling, database access, and retry logic. Query naturally: `sgrep search "how is user authentication implemented?"` to surface all matching implementations.

What output formats does semantic code search support for automation?

sgrep supports JSON output for automation and agent integrations, enabling scripted analysis, summaries, and downstream processing. This makes it suitable for automated code review pipelines and programmatic result handling.

Does semantic code search work with large codebases?

Yes. sgrep builds and utilizes an index to deliver fast semantic search results across large repositories. Local embeddings are used by default, enabling efficient pattern discovery without external dependencies or scalability concerns.

Can I filter results to specific files when searching for code patterns?

sgrep supports file filtering to scope your semantic search to specific areas of your codebase. This allows you to narrow results and focus on relevant code patterns within targeted directories or file types.

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