Transform source code repositories into queryable knowledge graphs for AI assistants.
npx skills add https://github.com/kenzot25/nexo --skill nexo
Please help me install this Agent Skill. Skill: nexo Source: https://github.com/kenzot25/nexo/tree/main/nexo Command: npx skills add https://github.com/kenzot25/nexo --skill nexo
This Skill eliminates the tedious manual work of scanning entire repositories to understand architecture and cross-file relationships, replacing blind file searches with a structured knowledge graph that AI assistants can query in seconds.
Use the nexo skill to build a knowledge graph from your project directory and then ask natural language questions about codebase architecture and relationships through your AI assistant.
High-intent search queries and answers about installing and using this skill.
To build a knowledge graph from source code, nexo uses tree-sitter parsers for AST extraction to automatically identify code entities and relationships, creating a searchable graph for AI assistants.
Yes, nexo supports multi-repo analysis, allowing you to index and query cross-file relationships and architecture across multiple repositories within a single workspace.
MCP server integration exposes the generated knowledge graph via a local server, enabling AI assistants to resolve, explain, and path-find through your codebase architecture.
Yes, nexo requires Python 3.10 or higher to run the tree-sitter parsers needed for AST extraction and knowledge graph generation.
You can keep your codebase knowledge graph current using nexo's incremental updates watch mode, which automatically rebuilds the graph as you modify your code.
The best way to understand codebase architecture is transforming repositories into a queryable knowledge graph, replacing blind manual file searches with structured queries an AI assistant can resolve in seconds.
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