Convert source code into architecture documents with PlantUML sequence diagrams.
npx skills add https://github.com/eatbreads/.agents --skill code2systemdoc
Please help me install this Agent Skill. Skill: code2systemdoc Source: https://github.com/eatbreads/.agents/tree/main/skills/code2systemdoc Command: npx skills add https://github.com/eatbreads/.agents --skill code2systemdoc
Convert unfamiliar source code into a clear, narratable system model and interview-ready architecture document so engineers can quickly understand end-to-end behavior and design tradeoffs.
Convert the repository at /path/to/repo into a narratable system model with a PlantUML sequence diagram and interview-ready explanation.
High-intent search queries and answers about installing and using this skill.
Generating architecture documentation from source code involves reconstructing canonical flows and extracting module responsibilities to produce a narratable system model with PlantUML sequence diagrams and interview-ready explanations.
The best way to create a PlantUML sequence diagram from an existing codebase is to identify entrypoints and orchestration paths, mapping high-signal caller-to-callee relationships to visualize core execution flows.
You can extract module responsibilities and core execution paths to generate interview-ready architecture explanations, including one-liner, 30-second, and 2-minute answers alongside follow-up Q&A for design reviews.
Code analysis for architecture reconstruction applies to a single file, module, or repository, producing module summaries, state and IO models, and reliability hooks alongside canonical flow maps.
To analyze unfamiliar source code for design tradeoffs, extract module responsibilities, state and IO models, and reliability hooks while distinguishing observed behavior from inferred claims.
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