q-methods
✓Draft methods sections for academic manuscripts following a structured, narrative style. Use when the user needs to write or refine a methods section for research papers involving computational methods (machine learning, statistical modeling, text analysis, simulation, network analysis, image processing, or other computational approaches). Produces clear, accessible prose without em-dashes or bullet points, with appropriate appendix cross-references for technical details.
Installation
SKILL.md
This skill guides drafting of methods sections for academic manuscripts in a clear, narrative style suitable for broad scholarly audiences.
Avoid phrases like "importing Python libraries" or "using pandas for data manipulation." Instead write conceptually: "Interview responses were organized by dimension" rather than "We filtered the DataFrame by question type."
Use hyphens (-) for compound modifiers. Never use em-dashes. Write numbers under ten as words unless in technical context.
Draft methods sections for academic manuscripts following a structured, narrative style. Use when the user needs to write or refine a methods section for research papers involving computational methods (machine learning, statistical modeling, text analysis, simulation, network analysis, image processing, or other computational approaches). Produces clear, accessible prose without em-dashes or bullet points, with appropriate appendix cross-references for technical details. Source: tyrealq/q-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/tyrealq/q-skills --skill q-methods- Source
- tyrealq/q-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is q-methods?
Draft methods sections for academic manuscripts following a structured, narrative style. Use when the user needs to write or refine a methods section for research papers involving computational methods (machine learning, statistical modeling, text analysis, simulation, network analysis, image processing, or other computational approaches). Produces clear, accessible prose without em-dashes or bullet points, with appropriate appendix cross-references for technical details. Source: tyrealq/q-skills.
How do I install q-methods?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tyrealq/q-skills --skill q-methods Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/tyrealq/q-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01