Experiment Plan

Experiment Plan is an AI Engineering skill for Claude Code, published by wanshuiyin in Auto-claude-code-research-in-sleep.

14.7K stars1.3K forkson wanshuiyin/Auto-claude-code-research-in-sleepAdded 2026/08/14Repository updated 2026/08/11

View source on GitHub Download repo ZIP

ai-researchai-toolsarisautonomous-agentclaudeclaude-codeclaude-code-skillscodexdeep-learninggptidea-generationllmmachine-learningmcpmcp-serverml-researchopenaipaper-reviewpaper-writingresearch-automation

Install in seconds

Install Experiment Plan

Copy Experiment Plan into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-plan ~/.claude/skills/experiment-plan

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/experiment-plan/SKILL.md in wanshuiyin/Auto-claude-code-research-in-sleep
Installs to: ~/.claude/skills/experiment-plan
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Experiment Plan does

Experiment Plan turns a refined research proposal into a detailed, claim-driven experiment roadmap. It specifies experiment blocks, baselines, metrics, and run order to defend a paper's core claims.

Experiment Plan is cataloged under AI Engineering on DirSkills. Experiment Plan comes from a repository tagged ai-research, ai-tools, aris, autonomous-agent and claude.

Documentation

README

Excerpt

Experiment Plan: Claim-Driven, Paper-Oriented Validation

Refine and concretize: $ARGUMENTS

Overview

Use this skill after the method is stable enough that the next question becomes: what exact experiments should we run, in what order, to defend the paper? If the user wants the full chain in one request, prefer /research-refine-pipeline.

The goal is not to generate a giant benchmark wishlist. The goal is to turn a proposal into a claim -> evidence -> run order roadmap that supports four things:

the method actually solves the anchored problem
the dominant contribution is real and focused
the method is elegant enough that extra complexity is unnecessary
any frontier-model-era component is genuinely useful, not decorative

Constants

This is the opening of the README. Read the full README on GitHub.

Commands Experiment Plan provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/research-refine-pipeline
/research-refine
/experiment-plan
/run-experiment
/auto-review-loop

Frequently asked about Experiment Plan

What else does wanshuiyin publish alongside Experiment Plan?
Experiment Plan is one of 25 skills that DirSkills catalogs from wanshuiyin/Auto-claude-code-research-in-sleep, the repository it ships in. Its siblings there include Ablation Planner, AlphaXiv and Analyze Results. Each one is a separate skill with its own page in this directory, installs the same way Experiment Plan does, and is maintained by wanshuiyin in that same repository. The rest of the collection is listed on the wanshuiyin/Auto-claude-code-research-in-sleep page.
How does Experiment Plan compare to other AI Engineering skills?
Experiment Plan ranks #310 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Experiment Plan against them. Open each page to compare what they document and how they install.