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research-team

Validate research milestones with deterministic gates and convergence reviews.

14|6|Updated Feb 24, 2026
Search Tags:#workflow#research#validation#convergence#reproducibility
One-click install
npx skills add https://github.com/fkguo/nullius --skill research-team-fkguo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-team
Source: https://github.com/fkguo/nullius/tree/main/skills/research-team
Command: npx skills add https://github.com/fkguo/nullius --skill research-team-fkguo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured, reproducible research workflow for theory and computation projects, ensuring that results are independently reviewed and validated before being trusted.

Core Features & Use Cases

  • Milestone-Based Workflow: Organizes research work into milestones, each with a predefined set of tasks and validation checks.
  • Convergence Gate: Enforces a two-member convergence loop for reviewing results, ensuring agreement before results are considered valid.
  • Automated Gates: Executes deterministic checks for reproducibility and correctness, including preflight checks, gate checks, and knowledge base checks.
  • Reproducibility Capsule: Ensures that all necessary information for reproducing results is captured within the workflow.
  • Use Case: Imagine a research project involving complex numerical simulations. This Skill would guide the researcher through the setup of the project, the execution of simulations, the review of results, and the documentation of the entire process.

Quick Start

Scaffold a research project using the research-team skill and run a team cycle to validate your first milestone.

Frequently Asked Questions about research-team

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

FAQPage Schema
How do I ensure reproducibility in scientific research and computational simulations?▼

Reproducibility in scientific research is ensured by enforcing a structured workflow with deterministic preflight checks, member reviews, and convergence gates to validate milestones before results are trusted.

What is a convergence gate and how does it validate research milestones?▼

A convergence gate validates research milestones by enforcing a two-member review loop, requiring agreement on results before they are considered valid and reproducible.

How do I set up a milestone-based workflow for computational research validation?▼

You set up a milestone-based research validation workflow by scaffolding a project into predefined milestones, then running team cycles to execute automated preflight and knowledge base checks for each phase.

Can I use this research workflow for complex numerical simulations without external dependencies?▼

Yes, you can validate complex numerical simulations without external dependencies, as the workflow relies on internal automated gates and a reproducibility capsule to capture and verify all necessary information.

What is a reproducibility capsule and when do I need it for research computations?▼

A reproducibility capsule captures all necessary information for reproducing results within the workflow, and is needed when you require rigorous independent validation of computational work.

What are the limitations of automated gate checks for research reproducibility?▼

Automated gate checks are limited to deterministic validation of reproducibility and correctness, meaning they cannot replace the required human member reviews and convergence verification for subjective analysis.

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