heady-intelligence

Analyze codebases and designs for structure, patterns, and risks.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heady-intelligence
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-intelligence
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify structural issues, risks, and patterns in codebases and designs to improve quality and reliability.

Core Features & Use Cases

  • Deep project analysis to map code structure, dependencies, and patterns.
  • Risk and security assessment for architectures and maintainability.
  • Use Case: When auditing a codebase, highlight hotspots and provide actionable recommendations.

Quick Start

Run a comprehensive analysis of a project and output a structured report detailing findings, patterns, and recommended fixes.

Frequently Asked Questions about heady-intelligence

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

FAQPage Schema
How do I analyze codebases to detect structural issues and security risks?

To analyze codebases for structural issues and security risks, you can orchestrate deep scans and multi-dimensional analysis to map code structure, dependencies, and patterns. This process identifies quality issues, security concerns, and maintainability risks, providing actionable recommendations.

What is the best way to assess maintainability risks in a software architecture?

The best way to assess maintainability risks in a software architecture is to apply multi-dimensional risk assessment and pattern detection to designs. This reveals structural hotspots and highlights areas requiring refactoring to improve overall reliability and code quality.

Can I detect code patterns and quality issues in technical documentation?

Yes, you can detect code patterns and quality issues in technical documentation by applying deep analysis to docs and architectures. This extracts structural insights and highlights quality concerns present within the design specifications and architectural plans.

How do I generate a structured report detailing codebase patterns and recommended fixes?

You generate a structured report by running a comprehensive project analysis and deep scan. This outputs a detailed document mapping dependencies, identifying patterns, and providing actionable recommendations for fixes and refactoring to resolve detected risks.

When should I run a deep scan to identify code hotspots during an audit?

You should run a deep scan to identify code hotspots during an audit when you need to map dependencies and assess maintainability risks. It highlights critical areas in the codebase and provides actionable recommendations for structural improvement.