scientific-workflow-tools

Official

Enhance research rigor and reproducibility.

AuthorDrugClaw
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides structured guidance for improving the rigor, reproducibility, and clarity of scientific research methodologies and outputs.

Core Features & Use Cases

  • Hypothesis Framing: Assists in generating testable hypotheses and distinguishing observations from inferences.
  • Manuscript Critique: Offers peer-review style feedback focusing on reproducibility, controls, statistics, and claim scope.
  • Reproducibility Planning: Helps create detailed checklists to ensure studies can be replicated.
  • Scientific Writing Structure: Aids in organizing scientific reports, reviews, and responses to reviewers.
  • Use Case: A researcher is preparing a manuscript and wants to ensure all aspects of reproducibility are covered before submission. They can use this skill to generate a tailored checklist based on their research profile (e.g., 'omics', 'ml').

Quick Start

Generate a reproducibility checklist for an omics research profile and save it to research/omics_checklist.md.

Dependency Matrix

Required Modules

python3

Components

scriptsassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: scientific-workflow-tools
Download link: https://github.com/DrugClaw/DrugClaw/archive/main.zip#scientific-workflow-tools

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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