q-methods_skill

Overview

This skill drafts methods sections for academic manuscripts in a clear, narrative style tailored to computational research. It produces flowing paragraphs that explain study design, data handling, analysis pipelines, and validation strategies while pointing to appendices for technical specifics. The output aims to be accessible to broad scholarly audiences and ready for coauthor review.

How this skill works

The skill inspects the study description and any provided notes on data and analysis to create a structured methods narrative organized by workflow stages. It summarizes data collection and preprocessing conceptually, outlines the analytical pipeline with justification for method choices, and describes validation and reproducibility steps. For code-level parameters, library versions, and full prompts it inserts explicit references such as Detailed parameters are provided in Appendix A.

When to use it

• Drafting a methods section for papers using machine learning, statistical modeling, or text analysis
• Refining an existing methods draft to remove implementation jargon and improve narrative flow
• Generating methods text that balances replication detail with readability for interdisciplinary audiences
• Preparing placeholders for coauthor contributions or missing procedural details
• Converting technical lab notes into a manuscript-ready methods narrative

Best practices

• Organize the section by logical workflow stages: data collection, preprocessing, analysis, and validation
• Keep technical jargon minimal in the main text and move parameter settings to appendices
• Justify method choices briefly and cite standard references when appropriate
• Include explicit placeholders for any missing information attributed to coauthors
• Use appendix cross-references for implementation details, for example: Detailed parameters are provided in Appendix A

Example use cases

• Turn project notes and scripts into a concise methods section suitable for submission to a journal
• Rewrite a methods draft to remove code-specific phrases and improve accessibility for nontechnical reviewers
• Provide a baseline methods paragraph that coauthors can fill with subject-specific details
• Create appendix cross-references listing where full model specifications, hyperparameters, and prompts will appear
• Draft validation and human-annotation descriptions with placeholders for inter-rater reliability metrics