power-sample-size-calculator
Statistical power analysis and sample size determination
Best use case
power-sample-size-calculator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Statistical power analysis and sample size determination
Teams using power-sample-size-calculator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/power-sample-size-calculator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How power-sample-size-calculator Compares
| Feature / Agent | power-sample-size-calculator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Statistical power analysis and sample size determination
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Power and Sample Size Calculator ## Purpose Provides statistical power analysis and sample size determination capabilities for experimental design. ## Capabilities - Power analysis for common tests (t-test, ANOVA, chi-square) - Effect size calculation - Sample size estimation - Simulation-based power analysis - Multi-level model power analysis - Sequential analysis design ## Usage Guidelines 1. **Effect Size**: Specify meaningful effect sizes 2. **Power Target**: Set appropriate power levels (typically 0.80) 3. **Type I Error**: Control alpha appropriately 4. **Simulation**: Use simulation for complex designs ## Tools/Libraries - G*Power - pwr (R) - statsmodels
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