The description names the domain (form optimization) and lists form types (lead capture, contact, demo request, application, survey, checkout), but it doesn't describe concrete actions the skill performs — it only says when to use it, not what it actually does (e.g., 'reduces form fields,' 'improves completion rates,' 'restructures multi-step flows').

The 'when' is exceptionally well-defined with explicit triggers and boundary conditions (referencing related skills for signup and popup forms). However, the 'what does this do' is weak — it says 'optimize' but never specifies what concrete actions or outputs the skill produces.

Excellent coverage of natural trigger terms users would say: 'form optimization,' 'lead form conversions,' 'form friction,' 'form fields,' 'form completion rate,' 'contact form,' plus specific form types like 'lead capture forms,' 'demo request forms,' 'checkout forms.'

Very clearly distinguished from related skills with explicit boundary statements ('For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro'), and the scope is well-defined to non-signup form optimization.

Extremely verbose at ~350+ lines. Much of the content is general UX/form design knowledge Claude already knows (e.g., what inline validation is, that single column is mobile-friendly, that error messages should be specific). Sections like 'Error Handling,' 'Mobile Optimization,' and 'Visual Design' explain basic concepts that don't need restating. The experiment ideas section largely restates recommendations already given earlier in the document.

Provides specific recommendations (e.g., 44px touch targets, field count impact percentages, button copy examples) and a structured output format, but lacks executable code or implementation snippets. Guidance is concrete in places (good/bad label examples) but mostly descriptive rather than directly implementable — no HTML/CSS snippets, no analytics tracking code, no validation code examples.

The Initial Assessment section provides a clear sequence for gathering information, and the Output Format section defines deliverables. However, there's no explicit workflow connecting assessment → analysis → recommendations → testing with validation checkpoints. The overall process is implicit rather than explicitly sequenced, and there are no verification steps to confirm recommendations are sound before delivery.

References related skills at the bottom (signup-flow-cro, popup-cro, etc.) which is good navigation. However, the document itself is monolithic — the experiment ideas section, form type-specific guidance, and field-by-field optimization could all be split into separate reference files. Everything is inline in one massive document rather than appropriately distributed.