Analyze Elixir project modules, functions, and dependencies via AST-level queries.
npx skills add https://github.com/thatsme/giulia --skill giulia-code-intelligence
Please help me install this Agent Skill. Skill: Giulia Code Intelligence Source: https://github.com/thatsme/giulia/tree/main/docs Command: npx skills add https://github.com/thatsme/giulia --skill giulia-code-intelligence
This Skill provides comprehensive code intelligence for Elixir projects, addressing the challenge of understanding and managing large codebases with ease.
To get a brief overview of your codebase, run the following command: /api/brief/architect?path=/path/to/your/project
High-intent search queries and answers about installing and using this skill.
AST-level dependency analysis on an Elixir codebase is performed by parsing the project graph using Sourceror, enabling sub-millisecond queries over modules, functions, and dependencies for comprehensive code intelligence. It requires Elixir and CubDB for persistence.
Runtime introspection on a running BEAM node is fully supported, allowing you to connect directly for live analysis of memory usage, process states, and application performance without external monitoring tools.
Yes, you need Elixir and the Sourceror library to parse abstract syntax trees for code analysis. CubDB is also required as a dependency to maintain state persistence and ETS-backed caching across sessions.
The best way to integrate AST code intelligence with LLM clients is by using the provided REST API and MCP support, which allow external tools and LLM clients to query module details and perform impact assessment directly.
To get a brief architectural overview of an Elixir project, execute the provided API command targeting your project path, which queries the parsed AST graph to return high-level structural insights and module dependencies.
Code intelligence persistence maintains state across development sessions by utilizing CubDB for data storage combined with ETS-backed caching, ensuring consistent codebase analysis and fast query retrieval over time.
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