experiment-plan

Convert research proposals into structured experimental plans with run order and evaluation criteria.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill experiment-plan-chenghaoyang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: experiment-plan
Source: https://github.com/chenghaoYang/auto-coder-trainer/tree/main/aris/skills/experiment-plan
Command: npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill experiment-plan-chenghaoyang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plan and structure a concrete, claim-driven experimental roadmap from a refined research proposal, enabling a rigorous defense of core contributions.

Core Features & Use Cases

  • Convert a research proposal into an experimental plan with a clear claim map, run order, and evaluation criteria.
  • Define experimental blocks (main results, ablations, robustness checks) and associated datasets, metrics, and budgets.
  • Generate execution-ready artifacts including milestone timelines and tracker templates for project management.

Quick Start

Provide a complete experiment plan for the given refined proposal.

Frequently Asked Questions about experiment-plan

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

FAQPage Schema
How do I convert a research proposal into an experiment plan with ablations and milestones?▼

To convert a research proposal into an experiment plan, you map core claims to experimental blocks like main results and ablations, defining datasets, metrics, and budget estimates to generate a structured roadmap.

What is a claim-driven experimental roadmap in AI research?▼

A claim-driven experimental roadmap is a structured plan that defines specific experimental blocks, run order, and evaluation criteria to rigorously defend the core contributions of a research proposal.

How do I structure experimental blocks for main results, ablations, and robustness checks?▼

Structure experimental blocks by defining specific datasets, evaluation metrics, and budget estimates for each block, separating main results, ablations, and robustness checks to defend distinct claims.

Can I generate execution-ready milestone timelines and tracker templates for research projects?▼

Yes, you can generate execution-ready artifacts including milestone timelines and tracker templates, which output structured documents like EXPERIMENT_PLAN.md and EXPERIMENT_TRACKER.md for project management.

Does this experimental planning approach support risk analysis and budget estimation?▼

Yes, the experimental planning approach supports risk analysis and budget estimation by applying detailed run order planning and milestone tracking across AI research pipelines to anticipate project constraints.