·q-scholar
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q-scholar

tyrealq/q-skills

Comprehensive academic writing skill for drafting journal-ready manuscripts. Orchestrates specialized sub-skills for descriptive analysis (q-descriptive-analysis), methods sections (q-methods), and results sections (q-results). Use when the user needs end-to-end support for academic manuscript preparation, from initial data exploration through publication-ready prose. Follows APA 7th edition formatting standards.

6Installs·0Trend·@tyrealq

Installation

$npx skills add https://github.com/tyrealq/q-skills --skill q-scholar

SKILL.md

Q-Scholar is an overarching academic writing skill that orchestrates specialized sub-skills to support the complete manuscript preparation workflow. It produces journal-ready prose following APA 7th edition standards.

q-descriptive-analysis Comprehensive exploratory analysis of tabular datasets. Generates grouped statistics, frequency distributions, entity extraction, temporal dynamics, and publication-ready summary reports.

Use for: Initial data exploration, descriptive statistics generation, understanding dataset structure before formal analysis.

Comprehensive academic writing skill for drafting journal-ready manuscripts. Orchestrates specialized sub-skills for descriptive analysis (q-descriptive-analysis), methods sections (q-methods), and results sections (q-results). Use when the user needs end-to-end support for academic manuscript preparation, from initial data exploration through publication-ready prose. Follows APA 7th edition formatting standards. Source: tyrealq/q-skills.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/tyrealq/q-skills --skill q-scholar
Category
{}Data Analysis
Verified
First Seen
2026-02-05
Updated
2026-02-18

Quick answers

What is q-scholar?

Comprehensive academic writing skill for drafting journal-ready manuscripts. Orchestrates specialized sub-skills for descriptive analysis (q-descriptive-analysis), methods sections (q-methods), and results sections (q-results). Use when the user needs end-to-end support for academic manuscript preparation, from initial data exploration through publication-ready prose. Follows APA 7th edition formatting standards. Source: tyrealq/q-skills.

How do I install q-scholar?

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-scholar 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
2026-02-05