Names the domain (sample size and power calculations) and lists some specific design types (survival analysis, clustered designs, multiple comparisons), but doesn't describe concrete actions like 'compute required sample size', 'generate power curves', or 'compare design alternatives'.

Describes what the skill does but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per the rubric, a missing 'Use when...' clause should cap completeness at 2, and since the 'what' is also only moderately detailed, this scores at 1.

Includes relevant terms like 'sample size', 'power calculations', 'survival analysis', 'clustered designs', and 'multiple comparisons', which are natural terms a user might use. However, it misses common variations like 'power analysis', 'effect size', 'statistical power', 'RCT', 'clinical trial design', or 'how many subjects do I need'.

The focus on 'complex study designs' with specific subtypes like survival analysis and clustered designs provides some distinctiveness, but it could overlap with a general statistics skill or a simpler sample size calculator skill. The 'advanced' qualifier helps but is somewhat vague.

Extremely verbose and repetitive. Contains extensive boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template) that add no domain-specific value. Multiple sections reference each other circularly ('See ## Prerequisites above', 'See ## Usage above'). The actual statistical content (test types, parameters, usage) is buried under generic project management scaffolding. Much of the content explains things Claude already knows (error handling philosophy, input validation principles).

The Usage section provides concrete CLI commands with specific parameters (--test ttest --effect 0.5 --alpha 0.05 --power 0.8), and the Parameters table is useful. However, there's no executable code showing how the calculations actually work, no example output, and the workflow steps are generic ('Confirm the user objective') rather than specific to sample size calculations. The skill relies entirely on an external script without showing what it does.

The workflow section is entirely generic and not specific to sample size calculations. Steps like 'Confirm the user objective' and 'Validate that the request matches the documented scope' are boilerplate applicable to any skill. There are no validation checkpoints specific to statistical calculations (e.g., checking effect size ranges, verifying assumptions about distributions). The 'Example run plan' is similarly generic. No feedback loops for catching statistical errors.

The document is a monolithic wall of text with many sections that could be consolidated or removed. Cross-references are circular and broken ('See ## Prerequisites above' appears before Prerequisites). The single reference to 'references/audit-reference.md' is generic. No bundle files are provided to support the referenced paths. Content is poorly organized with related information scattered across multiple sections (Usage appears twice in different forms, workflow details are in three separate sections).