experiment-plan

Translate refined ideas into structured experiments mapped to claims and saved as plan.md.

7|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Shiien/Self-Evolved-Research-Framework --skill experiment-plan-shiien
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-plan
Source: https://github.com/Shiien/Self-Evolved-Research-Framework/tree/main/skills/experiment-plan
Command: npx skills add https://github.com/Shiien/Self-Evolved-Research-Framework --skill experiment-plan-shiien

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designs robust experimental plans by translating refined ideas into structured, testable experiments with clearly defined claims and mappings.

Core Features & Use Cases

  • Plan experiments from refined ideas and existing papers.
  • Map claims to experiments, define independent/dependent variables, baselines, and ablations.
  • Generate and save a complete plan at experiments/{exp_name}/plan.md, including resource budgets and execution order.

Quick Start

Provide a refined idea and relevant resources to generate the plan at experiments/{exp_name}/plan.md.

Frequently Asked Questions about experiment-plan

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

FAQPage Schema
How do I create a structured experiment plan from a research idea?

To create an experiment plan, translate your refined idea into testable experiments by mapping claims to variables, defining baselines and ablations, and saving the output to a structured markdown file.

What is claim extraction in experiment design?

Claim extraction in experiment design is the process of identifying specific testable assertions from a refined idea and mapping them directly to independent and dependent variables for systematic validation.

How do I design baselines and ablations for a research campaign?

Design baselines and ablations by defining control variables and systematically removing components to isolate their impact, mapping these configurations directly to your extracted research claims.

Can I plan resource budgets and execution schedules for systematic experiments?

Yes, you can plan resource budgets and execution schedules by estimating constraints and defining execution order, generating a complete plan saved at experiments/{exp_name}/plan.md.

Does this approach work for planning experiments from existing papers?

Yes, this approach works for planning experiments from existing papers by extracting their claims, mapping variables, and generating a traceable experimental plan with documented dependencies.

What is the best way to document dependencies for traceable experimentation?

The best way to document dependencies for traceable experimentation is to map them within a formal plan that includes baselines, resource estimates, and execution schedules in a structured markdown file.