Lists multiple specific concrete actions: 'conversational discovery to create Architectural Decision Records (ADRs)', 'functional requirements covering CLI, REST/HTTP APIs', 'document command-line or HTTP service architecture', 'capture functional requirements', 'design interfaces with documented decisions'. These are concrete and domain-specific.

Clearly answers both 'what' (facilitates conversational discovery to create ADRs for functional requirements covering CLI, REST/HTTP APIs) and 'when' (explicit 'Use when' clause with multiple trigger scenarios, plus a 'This should trigger for' section with example phrases).

Includes strong natural keywords users would say: 'ADR', 'Architectural Decision Records', 'functional requirements', 'CLI', 'REST/HTTP APIs', 'command-line', 'HTTP service architecture', 'API projects'. Also provides explicit trigger phrases like 'Create ADR for functional requirements', 'Document functional requirements', 'Capture functional requirements'. Good coverage of natural variations.

Highly distinctive niche combining ADRs specifically for functional requirements of CLI and REST/HTTP APIs. The combination of 'ADR' + 'functional requirements' + 'CLI/API' creates a very specific trigger profile unlikely to conflict with general documentation or coding skills.

The skill includes some unnecessary explanation (e.g., 'What is covered in this Skill?' bullet list largely restates the workflow and description). The 'When to use this skill' section repeats the trigger phrases from the description. However, it's not egregiously verbose—mostly functional content with some redundancy.

The skill provides a clear workflow structure and specific constraints (run `date`, read a specific reference file), but lacks concrete examples of discovery questions, ADR output format, or sample interactions. The actual actionable content is deferred entirely to the reference file, making the SKILL.md itself more of an abstract process description than executable guidance.

The workflow has a clear sequence (get date → read reference → discover → generate), and includes validation checkpoints (confirm with user before generating). However, the steps are fairly high-level and lack specifics about what to do if the user rejects the summary, how to handle ambiguous scope, or concrete error recovery paths. The validation step is present but the feedback loop is implicit rather than explicit.

The skill correctly references a single external file for detailed guidance, which is good one-level-deep disclosure. However, no bundle files were provided to verify the reference exists, and the SKILL.md itself is somewhat thin—it defers almost all substantive content to the reference file while also including a redundant 'What is covered' section that could have been used for a more useful quick-start summary.