
Experiment Plan Builder
Turns a research idea into a claim-driven experiment roadmap with ablations, run order and compute budget.
- Stars
- 18,482
- Licence
- MIT
- Files
- 1 file
What it does
Once installed, the agent takes a research proposal or method idea and produces a structured experiment plan. It defines the claims a paper must defend, the minimum evidence for each, the key experiment blocks (main results, ablations, simplicity and necessity checks), a staged run order with decision gates, and a compute and risk budget. The output is written to a markdown file in a refine-logs/ folder, so a researcher can follow it step by step.
Great for
- Researchers or PhD students preparing paper experiments after their method is settled
- ML engineers who need a realistic run order and GPU-hour estimate before starting training
- Teams using the companion research-refine skill who want the next step in the chain
Skip it if
- Early brainstorming when the method is not yet stable, since the plan assumes a fixed proposal and may produce false precision
- Non-research projects, because the structure is built around paper claims and reviewer concerns
- Anyone expecting the agent to actually run experiments: the skill only plans them, and its cost estimates are guesses the user must verify
Try asking
- “Turn my refined proposal in refine-logs/FINAL_PROPOSAL.md into a detailed experiment plan with ablations”
- “Create a claim-driven evaluation protocol and run order for my diffusion-based method, with a compute budget”
- “Design an ablation matrix that tests whether my gain comes from extra parameters rather than the new mechanism”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
experiment-plan.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip experiment-plan.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip experiment-plan.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Run the research-refine step first so the problem anchor and dominant contribution are clearly defined
- Ask for a shorter plan if your budget is small, since the skill caps primary claims at two and core blocks at five
- Check the generated GPU-hour and timeline estimates against your own hardware before committing
What's inside
- SKILL.md
Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.