SkillsAdd

pratikshadake/claude-product-management-skills

experiment-design

Designs fast, reliable validation experiments with hypothesis, method, success metric, and decision rules (Ship/Iterate/Kill). Use when you need to validate an assumption or test a product hypothesis before committing resources.

First seen Feb 19, 2026

Installation

$ npx skills add pratikshadake/claude-product-management-skills --skill experiment-design
View on skills.sh ↗ GitHub repository ↗

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npx skills add pratikshadake/claude-product-management-skills
prd-critic 71 launch-readiness 57 problem-clarity 57 assumption-mapper 57 roadmap-reality-checker 56 tradeoff-articulator 55 value-vs-effort 55 jtbd-extractor 55 retention-drop-diagnoser 55 feature-adoption-analyzer 55

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 33
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 735 B
  • docs SUMMARY.md 253 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 57 installs

SKILL.md

Experiment Design Planner

Purpose

Design fast, reliable validation experiments.

Steps

  1. State the hypothesis.
  2. Choose the smallest valid test.
  3. Define success metric.
  4. Set sample size or duration.
  5. Define decision rule.

Output

Hypothesis

Experiment Method

Success Metric

Duration / Sample Size

Decision Rule

Ship / Iterate / Kill

References

See [worked example](references/example.md) for a complete scenario.