lexa

Index codebases and trace dependencies for AI agents.

121|6|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/anvia-hq/lexa --skill lexa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lexa
Source: https://github.com/anvia-hq/lexa/tree/main/skill
Command: npx skills add https://github.com/anvia-hq/lexa --skill lexa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Lexa addresses the challenge of navigating complex codebases efficiently, providing tools for code search, dependency tracing, and safe editing, which is crucial for AI agents and developers alike.

Core Features & Use Cases

  • Codebase Intelligence: Indexes codebases to provide fast, efficient access to code, symbols, and dependencies.
  • Agent Workflow Support: Facilitates task-focused context creation, symbol lookup, and dependency tracing for AI agents.
  • Use Case: When an AI agent needs to understand the structure of a codebase, find a specific function, or trace dependencies, Lexa can be used to quickly provide the necessary information.

Quick Start

Use Lexa to index your codebase with lexa index . and then search for a function with lexa symbol-search "functionName".

Frequently Asked Questions about lexa

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

FAQPage Schema
How do I index my codebase for AI agent navigation and dependency tracing?

Codebase intelligence indexes local codebases to provide fast access to code, symbols, and dependencies. It enables AI agents to efficiently search code, trace dependencies, and perform safe line edits.

How do I search for a specific function in a local codebase?

You can search for specific functions using `lexa symbol-search "functionName"`. This queries the indexed codebase to quickly locate symbols and provide necessary code context.

Do I need a specific environment to run codebase intelligence tools?

Yes, you need local codebase access and a Python environment with the Lexa package installed. This setup is required to execute indexing, symbol search, dependency tracing, and safe line edits.

Can AI agents perform safe code edits while navigating a codebase?

Yes, AI agents can perform safe line edits within the codebase. The system facilitates task-focused context creation and dependency tracing to ensure modifications are executed safely.

What is the best way to trace dependencies for AI agent workflows?

The best way to trace dependencies is by indexing your codebase first, then using the codebase intelligence features to map relationships. This provides efficient dependency tracing for AI agents.