pilot-scientific-research-team-setup

Orchestrate a four-agent scientific research pipeline with literature, hypothesis, experiment, and report roles.

7|3|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/TeoSlayer/pilot-skills --skill pilot-scientific-research-team-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pilot-scientific-research-team-setup
Source: https://github.com/TeoSlayer/pilot-skills/tree/main/skills/pilot-scientific-research-team-setup
Command: npx skills add https://github.com/TeoSlayer/pilot-skills --skill pilot-scientific-research-team-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a four-agent scientific research pipeline, coordinating literature, hypothesis, experiment, and report roles to streamline collaborative discovery.

Core Features & Use Cases

  • Literature agent: conducts literature review and builds structured summaries with citations.
  • Hypothesis agent: generates and ranks testable hypotheses.
  • Experiment agent: designs protocols, runs simulations, validates results.
  • Report writer: compiles findings into publication-ready documents.

Quick Start

Install the four role-specific skills, set hostnames, and establish initial handshakes to activate the pipeline.

Frequently Asked Questions about pilot-scientific-research-team-setup

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

FAQPage Schema
How do I coordinate a multi-agent scientific research pipeline for literature review and hypothesis generation?

This setup orchestrates a four-agent scientific research pipeline by coordinating literature, hypothesis, experiment, and report roles to streamline collaborative discovery and inter-agent data flows.

What is the best way to set up a four-agent research team for collaborative discovery?

The best way to set up a four-agent research team is to install the role-specific skills, set hostnames, and establish initial trust handshakes to activate the pipeline using provided setup templates and manifest guidance.

How does inter-agent data flow work in a multi-agent scientific research workflow?

Inter-agent data flow works by enforcing role-specific skills across the literature, hypothesis, experiment, and report agents, passing structured summaries, testable hypotheses, and simulation results sequentially to compile publication-ready documents.

Do I need to install specific role skills before setting up a multi-agent research team?

Yes, you need to install the four role-specific skills for literature, hypothesis, experiment, and report agents, then set hostnames and establish initial handshakes to fully activate the collaborative research pipeline.

Can I use this multi-agent protocol setup for generating publication-ready research reports?

Yes, you can use this protocol setup for generating publication-ready reports because the report writer agent specifically compiles validated experimental results and literature summaries into final publication-ready documents.

When should I not use a four-agent architecture for scientific research coordination?

You should not use a four-agent scientific research architecture if your project lacks the complexity to require distinct literature, hypothesis, experiment, and report roles, or if you cannot manage the required trust handshakes and inter-agent data flows.