code-search-assistant

Search codebases using text, AST, call graph, and semantic analysis.

1|2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/santosomar/general-secure-coding-agent-skills --skill code-search-assistant-santosomar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-search-assistant
Source: https://github.com/santosomar/general-secure-coding-agent-skills/tree/main/skills/code-analysis/code-search-assistant
Command: npx skills add https://github.com/santosomar/general-secure-coding-agent-skills --skill code-search-assistant-santosomar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers efficiently locate specific code segments within large codebases by employing various search strategies beyond simple text matching, saving significant time during code navigation and debugging.

Core Features & Use Cases

  • Multi-Strategy Search: Utilizes text grep, Abstract Syntax Tree (AST) queries, call graph traversal, and semantic search to match the user's query intent.
  • Intelligent Tool Selection: Automatically picks the most appropriate search method based on the nature of the question (e.g., symbol definition, usage, transitive calls, conceptual meaning, structural patterns).
  • Use Case: When asked "Where is the logic that handles user authentication failures?", this skill will go beyond a simple keyword search to analyze call graphs or semantic meaning to pinpoint the exact implementation.

Quick Start

Use the code search assistant to find all places in the codebase where email addresses are validated.

Frequently Asked Questions about code-search-assistant

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

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

Semantic code search locates code segments by conceptual meaning and functionality rather than exact text. It analyzes call graphs and abstract syntax trees to pinpoint specific implementations based on what the code does, saving time during complex codebase navigation.

What is the best way to trace transitive call chains when debugging a complex codebase?

Call graph traversal identifies transitive call chains by mapping symbol definitions and usages across the codebase. This approach tracks execution flow across multiple functions to pinpoint exactly where specific logic resides.

How do I find all usages of a symbol definition using AST search?

AST search queries analyze the abstract syntax tree to locate symbol definitions and their usages based on syntactic patterns. This structural analysis identifies exact code locations matching specific structural criteria rather than plain text.

Can I use code search to navigate large projects without knowing exact variable names?

Multi-strategy code search navigates large projects by combining text grep, AST queries, call graph traversal, and semantic analysis. It intelligently selects the appropriate search method to locate code segments even without knowing exact variable names.

Does code search work for finding where email validation logic is implemented?

Code search effectively locates implementation logic such as email validation by analyzing conceptual meaning and structural patterns. It moves beyond simple keyword matching to identify the exact code locations handling specific functional requirements.