research-summary

Guide users through creating structured technical documentation for research projects.

30|1|Updated May 23, 2026
One-click install
npx skills add https://github.com/whynotZYP/research-summary --skill research-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-summary
Source: https://github.com/whynotZYP/research-summary/tree/main
Command: npx skills add https://github.com/whynotZYP/research-summary --skill research-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pack.py, create_template.js, and includes scripts (resource) and templates (resource) components.

What problem does it solve?

This Skill addresses the challenge of producing complete, reproducible technical documentation for research projects, ensuring that future researchers can replicate the work without direct guidance.

Core Features & Use Cases

  • Structured Documentation: Guides users through creating a four-part technical document package.
  • Automated Scripting: Includes a script to bundle project files into a ZIP archive, excluding unnecessary files.
  • Multi-Platform Compatibility: Works with Claude Code and OpenAI Codex CLI.
  • Use Case: Ideal for students and researchers who need to document their projects for their supervisors or for future reference.

Quick Start

To generate a technical summary for your project, use the command '/research-summary' in Claude Code or Codex CLI.

Frequently Asked Questions about research-summary

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

FAQPage Schema
How do I generate technical documentation for a research project?

To generate technical documentation for a research project, use the /research-summary command. This guides you through a structured process to create a four-part document package for software, experimental procedures, or simulations.

Does research-summary work with OpenAI Codex CLI and Claude Code?

Yes, the research-summary Skill works with both Claude Code and OpenAI Codex CLI. It requires Python to run the bundled scripts that generate the technical documentation packages.

How do I bundle project files for reproducible technical documentation?

You bundle project files for reproducible technical documentation using the included automated script. It archives your project files into a ZIP package while automatically excluding unnecessary files.

What is the best way to document experimental procedures for future replication?

The best way to document experimental procedures for future replication is to use a structured technical summary generator. It automates reproducible documentation creation, ensuring future researchers can replicate the work without direct guidance.

Do I need Python to create technical documentation for research simulations?

Yes, you need Python installed to create technical documentation for research simulations. The Skill relies on Python scripts to execute the documentation generation process and bundle the required files.

What limitations exist when using automated project documentation generation?

A limitation of automated project documentation generation is its strict dependency on specific templates and a Python environment. Users must also manually ensure all required project files are accessible before running the script.