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Asonjay
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cs-research-team

Coordinate a Computer Science PhD research project by managing specialized AI agents in a tmux environment.

1|Updated Feb 11, 2026
Search Tags:#research#tmux#literature review#experimentation#agent teams#paper writing
One-click install
npx skills add https://github.com/Asonjay/claude-skills --skill cs-research-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cs-research-team
Source: https://github.com/Asonjay/claude-skills/tree/main/skills/cs-research-team
Command: npx skills add https://github.com/Asonjay/claude-skills --skill cs-research-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of conducting Computer Science PhD research by leveraging multi-agent collaboration, automating tasks from literature review to paper writing.

Core Features & Use Cases

  • Agent Team Coordination: Orchestrates specialized AI agents (literature, implementation, experiments, writer) for parallel research tasks.
  • Specification-Driven Workflow: Enforces a "specification-first" approach to ensure consistency in data formats, notation, and evaluation protocols across agents.
  • Use Case: Kickstart a new research project by providing a detailed plan, and have the skill spawn and manage a team of agents to conduct a literature review, implement a novel algorithm, run experiments, and draft a research paper.

Quick Start

Use the cs-research-team skill to coordinate a research project using the plan located at ./plans/my-research.md.

Frequently Asked Questions about cs-research-team

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

FAQPage Schema
How do I automate a computer science research project from literature review to paper writing?▼

To automate computer science research, this Skill coordinates specialized AI agents within a tmux environment to handle literature review, implementation, experimentation, and paper writing based on a provided research plan.

What is a specification-first multi-agent workflow for PhD research?▼

A specification-first multi-agent workflow enforces consistent data formats, notation, and evaluation protocols across parallel AI agents, ensuring structured collaboration for literature review, implementation, and paper writing.

How do I start a multi-agent research project using a detailed plan?▼

To start a multi-agent research project, provide a detailed research plan document defining project scope and agent responsibilities, then use the Skill to spawn and manage the team within a tmux environment.

Do I need a tmux environment to run parallel AI agents for research?▼

Yes, a tmux environment is required to run the parallel AI agents, as the Skill specifically spawns and manages specialized research agents for literature review and experimentation within tmux sessions.

What's the best way to ensure consistent notation across parallel research agents?▼

The best way to ensure consistent notation across parallel research agents is using a specification-first approach, which enforces standardized data formats and evaluation protocols throughout the multi-agent collaboration.

Can I use this multi-agent protocol for research without a predefined scope document?▼

No, this multi-agent protocol requires a detailed research plan document as input to define the project scope and agent responsibilities before spawning the literature, implementation, and experimentation teams.

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