experiment-plan

Convert research proposals into claim-driven experiment roadmaps with milestones.

2|1|Updated May 7, 2026
One-click install
npx skills add https://github.com/shenmuxing/EtaSkill --skill experiment-plan-shenmuxing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-plan
Source: https://github.com/shenmuxing/EtaSkill/tree/main/skill-examples/experiment-plan
Command: npx skills add https://github.com/shenmuxing/EtaSkill --skill experiment-plan-shenmuxing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns a refined research idea into a clear experiment plan so you can defend a paper with the right evidence instead of an unfocused benchmark list.

Core Features & Use Cases

  • Claim mapping: Converts a method proposal into primary claims, supporting claims, and anti-claims that reviewers are likely to challenge.
  • Experiment design: Organizes main results, novelty isolation, simplicity checks, frontier necessity checks, and failure analysis into a compact paper story.
  • Execution planning: Orders runs from sanity checks through baseline reproduction and decisive ablations, with milestones, compute estimates, and risk mitigation.
  • Use case: A researcher with a stable method idea can use this Skill to produce a paper-ready roadmap, tracker, and launch order for experiments.

Quick Start

Use the experiment-plan skill to turn my research proposal into a claim-driven experiment roadmap and execution tracker.

Frequently Asked Questions about experiment-plan

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

FAQPage Schema
How do I turn a research proposal into an experiment roadmap for paper validation?

To create an experiment roadmap for paper validation, you must extract primary claims, select baselines, and sequence milestone-based experiments including ablation matrices and evaluation protocols. This structures your method proposal into a convincing empirical defense plan.

What's the best way to design ablation matrices and evaluation protocols for a research paper?

Designing ablation matrices and evaluation protocols requires mapping your method proposal into primary claims and anti-claims that reviewers challenge. You organize these into main results, novelty isolation, and failure analysis to form a compact, convincing paper story.

How do I plan a compute budget and run ordering for machine learning experiments?

Planning a compute budget and run ordering involves sequencing experiments from sanity checks through baseline reproduction to decisive ablations. You estimate compute costs for each run, establish milestones, and apply risk mitigation strategies to ensure stable execution.

Can I use an experiment plan to map out reviewer-focused evidence for a research method?

Yes, an experiment plan maps out reviewer-focused evidence by converting your method into primary claims, supporting claims, and anti-claims. It structures novelty isolation and frontier necessity checks to anticipate and defend against reviewer challenges.

When do I need a structured experiment execution tracker for my baseline analysis?

You need a structured execution tracker for baseline analysis when preparing paper-ready evidence. It organizes run ordering from sanity checks through decisive ablations, providing compute estimates and risk mitigation to defend your empirical results.