power-analysis SKILL.md skillA
power-analysis from pedrohcgs/claude-code-my-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pedrohcgs/claude-code-my-workflow/power-analysis@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pedrohcgs/claude-code-my-workflow
- Path
.claude/skills/power-analysis/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Sep 27, 2026
- First version recorded
- Jun 9, 2026
- Size
- 11,022 bytes
- Repository stars
- 1,666
- License
- MIT
Compute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a simulation-based power option for non-standard designs (DiD/event-study, IV, panel). Use when user says "power analysis", "power calculation", "MDE", "minimum detectable effect", "how big a sample do I need", "is my study powered…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# `/power-analysis` — Power / MDE for study design
Compute the three interlocking quantities of an ex-ante design calculation — **power**, **required N**, and **minimum detectable effect (MDE)** — and emit a power section the user can paste straight into a preregistration. Analytical for standard designs; simulation-based (reusing the `/simulation-study` harness pattern) for non-standard ones.
**Core principle:** a power calculation is a *design-time commitment made before the data exist*. Fix any two of {effect size, N, power} and solve for the third; never back out a "power" number from a realised estimate (that is post-hoc power, and it is uninformative — see "What this skill does NOT do").
## When to use
- **Before launching an RCT / field / survey experiment** — to choose N (or clusters) for a target MDE at 80–90% power.
- **Invoked by [`/preregister`](../preregister/SKILL.md) for RCTs** — the AEA RCT Registry and most IRBs require a power/MDE justification; `/preregister`'s `aea-rct` style follows this skill's phases to fill that section (this skill is user-invoked only, so it is read and followed, not called).
…Read the whole file at its exact version.
How to install
mdr add pedrohcgs/claude-code-my-workflow/power-analysis@sha256:338f316f7ebff9d4The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_iryu5n5hcoxr63fo)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 9, 2026 and Sep 27, 2026, about one every 27 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-27 | 6535de7 | 11,022 B | A | view · diff |
| v1.0.0 | 2026-08-23 | 6b8fa14 | 10,949 B | A | view · diff |
| v1.0.0 | 2026-08-21 | 8a2f894 | 10,973 B | A | view · diff |
| v1.0.0 | 2026-06-09 | 572cc2f | 10,950 B | A | view · diff |
| v1.0.0 | 2026-06-09 | 692614f | 10,885 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11022 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pedrohcgs/claude-code-my-workflow · 1,666 stars · license MIT · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iryu5n5hcoxr63fo GET https://markdownregistry.com/api/v1/resolve?ref=pedrohcgs/claude-code-my-workflow/power-analysis GET https://markdownregistry.com/api/v1/blob/338f316f7ebff9d42fb646ab8b4fab788c3be237232f7d870ac093be7caaf5c5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from pedrohcgs/claude-code-my-workflow
Every file in pedrohcgs/claude-code-my-workflow