Conciseness

The body is lean and every token earns its place: a one-sentence intro, a two-line code snippet, a dense table where each row conveys key, use, and description, and three short guidance bullets. There is no explanation of concepts Claude already knows.

Actionability

The usage snippet ('import causalpy as cp; df = cp.load_data("did")') is copy-paste ready, and the table enumerates every dataset key with its typical use, fully covering the common cases.

Workflow Clarity

This is a simple single-purpose skill under 50 lines, and the single action (load a dataset by key via cp.load_data) is unambiguous, which per the simple-skill exception warrants a 5. No destructive or batch operations exist that would require validation checkpoints.

Progressive Disclosure

Per the rubric's simple-skill guidance, a skill under 50 lines with no need for external references scores 5 with well-organized sections alone. The Usage, Available Datasets, and Guidance sections are clearly headed, no bundle files exist to reference, and pointers to sibling skills ('choosing-causalpy-methods', 'running-causalpy-experiments') are clearly signaled one level deep.

Specificity

The description names the domain ('built-in CausalPy example datasets') and one concrete action ('Load...') with use contexts, but does not list several distinct concrete actions, matching the '1-2 concrete actions' anchor rather than the 'several specific actions' anchor above.

Completeness

It explicitly answers what it does ('Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes') and when to use it ('Use when the user needs sample data or asks which demo datasets are available'), with concrete trigger phrases matching the anchor-5 example pattern.

Trigger Term Quality

Natural phrases users would say are present ('sample data', 'demo datasets', 'example datasets', 'demos, tutorials, tests'), giving good coverage. It falls short of anchor 5 because common synonyms like 'toy data' or 'test data' as explicit triggers are missing.

Distinctiveness Conflict Risk

'CausalPy example datasets' establishes a clear niche with distinct triggers, but the standalone phrase 'needs sample data' is somewhat broad and could overlap with general data-loading or dataset-fetching skills, indicating minor overlap risk rather than minimal.