gpt-prolisted

# GPT Pro Analysis — Deep Reasoning via GPT-5.4 Pro (Manual) Prepare any problem + relevant files into a structured package for manual upload to ChatGPT Pro. Domain-agnostic — works for code debugging, architecture review, data analysis, writing feedback, reverse engineering, research synthesis, or anything that benefits from deep reasoning over multiple files. ## Workflow ``` UNDERSTAND → SCOPE → COLLECT → PROMPT → SANITIZE → PACKAGE → REPORT ``` Everything runs locally. The final step is a tar.gz on disk + prompt on clipboard, ready for you to paste into chatgpt.com. ## Why a Structured Package Beats a Chat Dump ChatGPT Pro excels at deep, long-context reasoning — but quality in = quality out. A structured PROMPT.md that frames the problem, sets the role, defines the output format, and indexes the attached files consistently produces 10x better results than pasting raw code into the chat. This skill encodes the prompt patterns that work. ## Step 1: Understand the Task Ask or infer from conversation context: - **What's the question?** — "Why is this broken?", "Review this architecture", "Analyze this data" - **What expertise should GPT Pro adopt?** — Match to the domain (senior engineer, editor, data scientist, etc.) - **What output format?** — Code fixes with file:line? A report? A redesigned component? A comparison matrix? ## Step 2: Collect the Files (Be Generous) **Philosophy: more is more.** GPT-5.4 Pro has a huge context window and is excellent at triaging —