Analyze source code and generate LaTeX-ready thesis chapters.
npx skills add https://github.com/abzhaw/juliaz_agents --skill code-to-thesis
Please help me install this Agent Skill. Skill: code-to-thesis Source: https://github.com/abzhaw/juliaz_agents/tree/main/thesis/agents/thesis-agent/skills/code-to-thesis Command: npx skills add https://github.com/abzhaw/juliaz_agents --skill code-to-thesis
Translates a live codebase into academic prose by analyzing source, extracting architecture patterns, and producing LaTeX-ready evidence for thesis chapters.
Prompt the AI to analyze the juliaz_agents codebase and output LaTeX-ready thesis content.
High-intent search queries and answers about installing and using this skill.
You convert a codebase into LaTeX-ready thesis content by analyzing source files, extracting architecture patterns, and formatting findings into LaTeX-ready sections without modifying the source.
Architecture pattern extraction works by identifying and describing structural patterns from a live codebase, capturing representative code snippets, and translating findings into academic prose for thesis chapters.
Yes, you can generate thesis chapters from source code without modifying files by enforcing READ-ONLY analysis that extracts architecture patterns and formats findings into LaTeX-ready sections.
The best way to include code snippets in a LaTeX thesis is to extract concise, illustrative examples from the codebase and render them into LaTeX-ready sections with proper formatting and citations.
Yes, code-to-thesis works with complex software systems for reproducible documentation by identifying key components, capturing representative code snippets, and formatting findings for thesis chapters.
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