scientific-documentation_skill

Overview

This skill generates exhaustive, research-grade scientific documentation for completed coding projects and delivers it as a formal Word (.docx) file. I act as a Principal Research Scientist and Computer Science Educator to produce an academic-style paper that is accessible to first-year CS students. The output combines comprehensive technical breakdowns, pedagogical explanations, and full code analysis with a structured, citation-ready layout.

How this skill works

I analyze the project history and available code to identify features, design decisions, bugs, and development phases. I map those findings to a scholarly document template that includes abstract, background, methodology, results, discussion, and appendices with annotated code. The skill formats the content into a .docx file using specified typography and saves a descriptive output file for download.

When to use it

• You finished a project and want a formal technical paper describing it
• You need a study paper or lecture document based on your codebase
• You want a beginner-friendly, exhaustive breakdown to teach others
• You need an academic-style deliverable for a portfolio or submission
• You require a complete code walkthrough with explanations and rationale

Best practices

• Provide the complete project source or a clear link to the repository before requesting documentation
• Include development notes, commit history, or conversation logs to improve completeness
• Specify target length, audience level, and any citation requirements up front
• Highlight any parts of the code you want emphasized or explained in extra depth
• Confirm desired file naming conventions and where to save the final .docx

Example use cases

• Turn a finished JavaScript project into a 15–25 page scientific-style paper for coursework or portfolio
• Create a lecture-ready document that explains project architecture and step-by-step code walkthroughs for students
• Produce a reproducible methodology section describing experiments, benchmarks, and results from a demo app
• Generate an appendix with annotated source files, function-level explanations, and line references for code review
• Produce a beginner-friendly study guide that explains algorithms, data structures, and engineering trade-offs used in the project