What problem does it solve?
This Skill streamlines complex code understanding by transforming raw code into actionable insights through knowledge graphs, semantic search, and optimized context retrieval.
Core Features & Use Cases
- Knowledge Graph Construction: Builds a semantic map of your codebase, detailing entities and relationships.
- Semantic Code Search: Finds code based on meaning, not just keywords, with high relevance.
- Dependency Analysis: Maps intricate dependencies and calculates coupling metrics.
- Token Reduction: Delivers concise, relevant code context, drastically reducing AI processing costs.
- Use Case: A developer needs to understand how a specific feature is implemented across a large, unfamiliar codebase. This Skill can build a knowledge graph, semantically search for relevant functions, map their dependencies, and provide a highly condensed context for AI analysis.
Quick Start
Use the qe-code-intelligence skill to index your project's source code into a knowledge graph.