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.