Verified:GitHub

experiment-plan

Generates a claim-driven experiment roadmap from a research proposal or method idea.

14.4k|1.3k|Updated Mar 10, 2026

Search Tags:#experiment design #research planning #scientific rigor #ml experiments #validation roadmap #paper preparation

Ready to run

npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: experiment-plan
Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-plan
Command: npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms a research proposal or method idea into a detailed, claim-driven experiment roadmap, ensuring experiments directly support the paper's core arguments and validation needs.

Core Features & Use Cases

Claim Definition: Clearly articulates the primary and supporting claims to be defended.
Experiment Block Design: Structures experiments into logical blocks (e.g., main result, novelty isolation, simplicity check).
Execution Planning: Generates a prioritized run order with milestones, cost estimates, and risk assessments.
Use Case: After developing a new machine learning method, use this Skill to outline exactly which experiments are needed to prove its novelty, effectiveness, and simplicity, and how to run them efficiently.

Quick Start

Use the experiment-plan skill to create a detailed experiment roadmap for the proposal in 'proposal.md'.

Frequently Asked Questions about experiment-plan

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

FAQPage Schema

How do I design an experiment roadmap for a machine learning research proposal?▼

Design an experiment roadmap by generating a claim-driven plan from a research proposal or method idea. It structures experiments into logical blocks, defines datasets and metrics, and creates a prioritized execution order with cost and risk assessments to validate paper contributions.

What is a claim-driven experiment plan for scientific research?▼

A claim-driven experiment plan is a structured roadmap that ensures research experiments directly defend a paper's primary and supporting claims. It validates novelty, simplicity, and core problem resolution by organizing validation needs into targeted experiment blocks.

How do I structure machine learning experiments to prove model novelty?▼

Structure machine learning experiments by organizing them into logical blocks like main result, novelty isolation, and simplicity check. This ensures each experiment specifically defends the core problem, novelty, and contribution of your frontier model components for paper preparation.

Can I use this to plan execution order and estimate compute costs for ml experiments?▼

Yes, you can generate a prioritized execution order with milestones for ml experiments. The plan includes specific cost estimates and risk assessments for each experiment block, supporting efficient paper-oriented validation.

What's the best way to ensure experiments defend the core contribution of a new method?▼

The best way to defend a core contribution is to map experiments directly to specific claims. Define primary and supporting claims first, then design targeted experiment blocks with specified datasets and metrics to validate each contribution.

Do I need a completed research proposal to generate an experiment design?▼

You need a research proposal or method idea to generate an experiment design. The Skill transforms this initial proposal into a detailed experiment roadmap, structuring the validation steps needed to support the scientific rigor of your paper.