The description names the domain (use case documents, Cockburn fully-dressed format) and mentions some outputs (use-cases/ directory, individual files, README index), but the concrete actions are limited — it mostly describes what it produces rather than listing multiple distinct actions like 'analyze actor goals, define preconditions, map success/failure scenarios'.

The description explicitly answers both 'what' (creates structured use case documents describing application behavior from actor perspectives, producing a use-cases/ directory with Cockburn fully-dressed use case files and a README index) and 'when' (with an explicit list of trigger phrases and conditions). The 'Use when' guidance is embedded via 'This skill should be used when...'.

The description includes an extensive list of natural trigger phrases users would say: 'use cases', 'write use cases', 'define use cases', 'Cockburn use cases', 'actor goals', 'behavioral requirements', 'system behavior', 'what does the app do', 'describe the behavior', 'use case document', etc. This provides excellent coverage of natural language variations.

The description is highly specific to Cockburn fully-dressed use cases with a distinct output format (use-cases/ directory structure). The niche of behavioral requirements documentation in Cockburn format is unlikely to conflict with other skills like general documentation, requirements gathering, or user story writing.

The skill is extremely verbose at ~400+ lines. It over-explains concepts Claude already understands (what actors are, what use case levels mean, what includes/extends relationships are). The agent invocation guide largely duplicates the workflow steps. The error handling section lists 17 edge cases, many of which Claude could handle with general reasoning. Significant token waste throughout.

The skill provides concrete step-by-step workflows with specific agent names, file paths, and template references. However, there is no executable code — it relies on agent invocations with natural language instructions rather than concrete commands or scripts. The agent invocation prompts are detailed but are prose descriptions rather than copy-paste-ready invocations. The table formats and presentation templates are helpful but still somewhat abstract.

The 8-step workflow is clearly sequenced with explicit validation checkpoints: Step 1 handles resume/fresh start detection, Step 6b has explicit convergence criteria with a maximum of 2 review rounds to prevent infinite loops, Step 7 provides user review with clear options, and feedback conflicts are surfaced to the user before proceeding. The parallel drafting strategy with grouping logic is well-defined.

The skill references external templates (use-case-template.md, use-case-index-template.md, expert-review-template.md, review-protocol.md) which is good progressive disclosure. However, no bundle files were provided to verify these exist. The main SKILL.md itself is monolithic — the agent invocation guide and error handling sections could be separate reference files. The massive inline content undermines the progressive disclosure principle.