Directory / Scientific Agent Skills (K-Dense) / statistical-power

statistical-power

Calculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Also handles requests that only mention an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.
Description from the SKILL.md front matter.

Install

GitHub CLI v2.90+ (Copilot by default)

gh skill install K-Dense-AI/scientific-agent-skills statistical-power

For Claude Code

gh skill install K-Dense-AI/scientific-agent-skills statistical-power --agent claude-code

For Codex

gh skill install K-Dense-AI/scientific-agent-skills statistical-power --agent codex

Commands follow each host's documentation (Any Agent Skills host (Claude Code, Codex, Cursor, Gemini CLI, Copilot…) docs). gh skill needs GitHub CLI 2.90 or later and is in public preview.

Listed from K-Dense Inc.'s catalog, not reviewed by us. Read the source before installing.

Catalog: Scientific Agent Skills (K-Dense)
Author: K-Dense Inc.
Source code: K-Dense-AI/scientific-agent-skills
License: MIT
Repository stars: 52,795 for K-Dense-AI/scientific-agent-skills (the whole catalog repo)
Version: 1.3
Added to catalog: Not tracked for this source
Last change: 2026-10-19 (last push to the repo)

What it contains

Skills: 1

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