Content
71%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, largely actionable experimentation guide with excellent progressive disclosure — the overview stays lean while detailed tables and templates live in two real, clearly linked reference files. The main drag is conciseness: it explains basics Claude already knows (p-values, the peeking problem) and the Common Mistakes section repeats earlier principles, and the Implementation section could name concrete setup steps for its tools.
Suggestions
Cut concept explanations Claude already knows — the p-value definition under "Statistical Significance" and the "The Peeking Problem" paragraph can be reduced to one-line rules ("pre-commit to sample size; do not stop early").
Deduplicate "Common Mistakes" against "Core Principles" and "During the Test" (stopping early, changing mid-test, and no-hypothesis each appear twice), or fold them into those sections.
Make the Implementation section actionable: add concrete setup steps or a minimal code/config example for one tool (e.g., a PostHog feature-flag or Optimizely experiment snippet) instead of only naming tools.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Tables and checklists are mostly tight, but the body explains concepts Claude already knows ("95% confidence = p-value < 0.05. Means <5% chance result is random", the "The Peeking Problem" rationale paragraph, "Otherwise you don't know what worked"), and the "Common Mistakes" section largely duplicates "Core Principles" and "During the Test". Matches anchor 3; not 4 because the over-explanation is more than minor. | 3 / 5 |
Actionability | Concrete instruction-only guidance: a fill-in hypothesis template with weak/strong examples, a sample-size quick-reference table with real numbers, named calculators, per-category variant tables, and checklists. Matches anchor 4; not 5 because the Implementation section names tools (PostHog, Optimizely, LaunchDarkly) without concrete setup steps or commands, and not 3 because the guidance goes well beyond high-level hints. | 4 / 5 |
Workflow Clarity | The full lifecycle is clearly sequenced (Initial Assessment -> Hypothesis -> Design -> Sample Size -> Pre-Launch Checklist -> During the Test -> Analyzing Results -> Documentation) with an explicit pre-launch checklist and a conditional 6-step analysis checklist that catches errors ("Reach sample size? If not, result is preliminary"). Matches anchor 4; not 5 because the end-to-end sequence is implicit in section order rather than stated, and during-test monitoring offers no recovery path for technical issues. | 4 / 5 |
Progressive Disclosure | The SKILL.md is a well-organized ~260-line overview that keeps a quick sample-size table inline and pushes detail to clearly signaled one-level-deep references ("For detailed sample size tables and duration calculations: See references/sample-size-guide.md"; "For templates: See references/test-templates.md"), both of which exist and deliver the promised content. Matches anchor 5: clear overview, well-signaled references, appropriate split, easy navigation. | 5 / 5 |
Total | 16 / 20 Passed |