Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
experiment-plan
experiment-plan is an open-source data skill for Claude Code and compatible agents, published by wanshuiyin. Its author describes it as: “Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol…”. The project has 15k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-plan`.
What experiment-plan does
Refine and concretize: **$ARGUMENTS**
Installation
Add experiment-plan to your agent with:
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-plan Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for experiment-plan is organised into these sections:
- Overview
- Constants
- Workflow
- Phase 0: Load the Proposal Context
- Phase 1: Freeze the Paper Claims
- Phase 2: Build the Experimental Storyline
- Phase 3: Specify Each Experiment Block
- Phase 4: Turn the Plan Into an Execution Order
- Phase 5: Write the Outputs
- Output Protocols
- Key Rules
- Composing with Other Skills
When to use it
Reach for experiment-plan when you want data help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in wanshuiyin/Auto-claude-code-research-in-sleep, an established project with 14,858 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does experiment-plan do?
- Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
- How do I install experiment-plan?
- Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-plan in your agent, then reload your skills. Review the source at https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep before installing.
- Is experiment-plan free to use?
- Yes. experiment-plan is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does experiment-plan come from?
- experiment-plan ships inside wanshuiyin/Auto-claude-code-research-in-sleep, a repository that contains 41 catalogued skills in total. The repository's 14,858 GitHub stars apply to that whole collection, not to this skill on its own.
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