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IsmaelMartinez
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local-brain

Delegates codebase exploration and analysis to local Ollama models.

Updated Nov 19, 2025
Search Tags:#code review#codebase analysis#code exploration#local AI#privacy#ollama
One-click install
npx skills add https://github.com/IsmaelMartinez/local-brain --skill local-brain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: local-brain
Source: https://github.com/IsmaelMartinez/local-brain/tree/main/local-brain/skills/local-brain
Command: npx skills add https://github.com/IsmaelMartinez/local-brain --skill local-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to delegate complex, multi-step codebase exploration tasks to local AI models, avoiding cloud round-trips and ensuring full privacy for your code.

Core Features & Use Cases

  • Codebase Analysis: Understand complex systems, review code, and identify patterns.
  • Intelligent Search: Perform AST-aware code searches and extract definitions.
  • Use Case: Ask "Explain how the authentication flows through the system" and have the AI analyze your codebase locally to provide a detailed explanation.

Quick Start

Use the local-brain skill to review recent git changes and identify potential issues.

Frequently Asked Questions about local-brain

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

FAQPage Schema
How do I analyze a codebase locally for privacy without sending code to the cloud?▼

To analyze a codebase locally for privacy, you delegate complex codebase exploration tasks to local Ollama AI models. This approach avoids cloud round-trips, ensuring full privacy while performing AST-aware search and definition extraction.

Can I use local AI for code review and understanding system flows?▼

Yes, you can use local AI for code review and understanding system flows. Delegating codebase exploration to local models allows the AI to analyze your code and provide detailed explanations of complex system architecture and identify patterns.

What do I need to perform AST-aware code search with local models?▼

To perform AST-aware code search with local models, you need a local Ollama installation and a compatible model. These prerequisites enable the AI to execute intelligent searches and extract definitions directly from your codebase.

How does local codebase analysis compare to cloud-based code exploration?▼

Local codebase analysis differs from cloud-based code exploration by keeping your code entirely private. It uses local Ollama models to avoid cloud round-trips while still supporting complex tasks like pattern identification and code review.

How do I review recent git changes using local AI?▼

To review recent git changes using local AI, you delegate the review process to your local Ollama installation. This allows the AI to analyze the changes and identify potential issues while ensuring your codebase remains completely private.

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