cmd-research-research

Identify research context and detect project artifacts and statistical tools.

2|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/jlaws/dotfiles --skill cmd-research-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cmd-research-research
Source: https://github.com/jlaws/dotfiles/tree/main/.agents/skills/cmd-research-research
Command: npx skills add https://github.com/jlaws/dotfiles --skill cmd-research-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured research consultation to help with literature review, statistical analysis planning, and academic writing, reducing time spent on setup and context gathering.

Core Features & Use Cases

  • Context gathering: Identify research scope, existing artifacts, and relevant tools to align the analysis with the user's goals.
  • Artifact discovery: Locate and assess bibliographies (.bib), LaTeX sources (.tex), datasets, and notebooks (.ipynb).
  • Tool detection: Detect statistical tooling in the project configuration (R, scipy, statsmodels, pandas, or similar) to tailor methods.
  • Use Case: Use this Skill to align a literature review with a target topic and outline a statistical analysis plan for a paper.

Quick Start

Provide a clear scope for a literature review or writing task, and I will tailor the research plan and deliverables to that scope.

Frequently Asked Questions about cmd-research-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scope a literature review and align it with a statistical analysis plan?

Writing assistance for academic papers begins by gathering existing artifacts like LaTeX sources and .bib bibliographies. The consultation detects statistical tools such as statsmodels or pandas to tailor guidance and deliverables to your specific research context.

Can I use this research consultation if my project uses Jupyter notebooks and pandas?

Yes, this research consultation works with Jupyter notebooks and pandas. The context gathering process detects project artifacts like .ipynb files and statistical tools including pandas to tailor its literature review and writing guidance to your environment.

What is the best way to gather research context from existing project artifacts?

The best way to gather research context is to provide a clear scope for your task. The process then locates and assesses bibliographies, LaTeX sources, datasets, and notebooks to align the literature review and statistical analysis with your goals.

Does this research tool detect statistical packages like scipy and statsmodels automatically?

Yes, it detects statistical packages like scipy and statsmodels automatically. By scanning your project configuration, the consultation identifies statistical tooling to tailor methods for your data analysis and academic writing tasks.

What do I need to provide to start a literature review or academic writing task?

To start a literature review or academic writing task, you need to provide a clear scope for your topic. The consultation then gathers your existing research artifacts and detects statistical tools to reduce setup time and ground the work.