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qe-code-intelligence

Build semantic code indexes and search large codebases by meaning.

Updated Jun 15, 2026
Search Tags:#code search#code intelligence#semantic analysis#dependency mapping#code complexity
One-click install
npx skills add https://github.com/CENKSSS/valocase-backend --skill qe-code-intelligence-cenksss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qe-code-intelligence
Source: https://github.com/CENKSSS/valocase-backend/tree/main/.claude/skills/qe-code-intelligence
Command: npx skills add https://github.com/CENKSSS/valocase-backend --skill qe-code-intelligence-cenksss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires aqe, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

QE Code Intelligence addresses the challenges of understanding, searching, and analyzing large codebases with ease.

Core Features & Use Cases

  • Semantic Code Indexing: Automatically builds semantic code indexes and dependency graphs.
  • Intelligent Code Search: Allows users to perform searches based on semantic meaning, not just keywords.
  • Dependency Mapping: Visualizes import and export relationships in the codebase.
  • Code Complexity Analysis: Identifies complex and performance-critical code areas.
  • Use Case: A developer new to a project can use this Skill to quickly understand the project's architecture, search for specific code elements, or analyze potential impacts of code changes.

Quick Start

Run 'aqe code index src/' to index your codebase and then use 'aqe code search "authentication middleware"' to find relevant code.

Frequently Asked Questions about qe-code-intelligence

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

FAQPage Schema
How do I perform semantic code search across a large codebase?▼

Semantic code search is performed by building a semantic code index and knowledge graph using 'aqe code index src/', then querying with 'aqe code search' to find code by meaning rather than keywords.

What is dependency mapping and how does it visualize codebase architecture?▼

Dependency mapping visualizes import and export relationships across a codebase by constructing knowledge graphs, enabling developers to trace code structure and understand project architecture quickly.

How do I identify code complexity and performance-critical areas in my project?▼

Code complexity analysis identifies performance-critical areas by performing context-aware analysis across indexed codebases, highlighting complex code regions that require attention or refactoring.

Can I use this to understand a new codebase architecture quickly?▼

Yes, developers new to a project can index the codebase to automatically build semantic indexes and dependency graphs, enabling rapid understanding of architecture, tracing code elements, and analyzing change impacts.

Does semantic code indexing work with the aqe dependency?▼

Yes, semantic code indexing requires the aqe dependency to construct knowledge graphs, map dependencies, and perform intelligent code search across large codebases.

What is the best way to trace code changes and their potential impacts?▼

The best way to trace code change impacts is by using semantic code indexing and dependency mapping to construct knowledge graphs, enabling context-aware analysis of how modifications affect interconnected code elements.

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