Content
37%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a decent starting template for statistical analysis output formatting but falls short of being a comprehensive guide. The code examples demonstrate output structure but are incomplete and lack the workflow guidance needed for proper statistical analysis (assumption checking, method selection, result validation).
Suggestions
Complete the code examples by defining all variables (pooled_std, ci_lower, ci_upper) and including necessary imports
Add a workflow section explaining when to use t-tests vs regression vs other methods, including assumption checks (normality, homoscedasticity)
Remove the persona framing and capabilities list - focus on actionable guidance Claude can execute
Add validation checkpoints for statistical assumptions before running tests (e.g., check normality before t-test)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient but includes some unnecessary elements like the persona framing ('You are Scientist'), the capabilities list that Claude already knows, and the closing quote. The code examples are lean but the surrounding content could be tightened. | 2 / 3 |
Actionability | Provides executable code snippets but they're incomplete - 'pooled_std', 'ci_lower', 'ci_upper' are undefined in the first example. The regression example is more complete but still assumes data preparation is done. Missing imports like numpy/pandas. | 2 / 3 |
Workflow Clarity | No clear workflow sequence for conducting analysis. Lists capabilities and shows isolated code snippets but doesn't explain when to use which technique, how to validate results, or how to handle edge cases like non-normal distributions or multicollinearity. | 1 / 3 |
Progressive Disclosure | Content is reasonably organized with clear sections (Quality Standards, Regression Analysis), but for a 'comprehensive statistical analysis' skill, there are no references to additional resources for advanced topics, assumption checking, or visualization guidance mentioned in capabilities. | 2 / 3 |
Total | 7 / 12 Passed |