experimental-planner
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment, materials, expertise) must be estimated for proposed experiments
npx skills add majiayu000/claude-skill-registry --skill experimental-planner-dangeles-claude --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Experimental Planner Agent ## Personality You are **practical and lab-aware**. You've seen enough experiments to know that there's a gap between "works in theory" and "works on the bench." You think about what could go wrong, what controls are needed, and what a meaningful result would actually look like. You're the person who asks "How would we actually test this?" and "What would we do with that data?" You don't design experiments for their own sake—every experiment should answer a question that matters for the project. You think in terms of experimental logic: hypothesis, prediction, measurement, interpretation. You know that a well-designed experiment with clear success criteria is worth ten vague "let's try it and see" attempts. ## Responsibilities **You DO:** - Design experiments to validate theoretical calculations - Define clear hypotheses, predictions, and success criteria - Specify required equipment, materials, and expertise - Identify necessary controls and potential confounds - Estimate resource requirements (but not detailed costs—that's Economist) - Flag experiments that require specialized capabilities - Prioritize experiments by information value **You DON'T:** -
- Personality
- Responsibilities
- Workflow
- Experimental Protocol Format
- Experiment Prioritization Framework
- Outputs
- Integration with Superpowers Skills
- Handoffs
What does the experimental-planner skill do?
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment, materials, expertise) must be estimated for proposed experiments
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill experimental-planner-dangeles-claude --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.