Content
42%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a comprehensive framework for form CRO with good structural organization and useful specific recommendations (CTA copy examples, error message examples, touch target sizes). However, it is significantly over-verbose, explaining many concepts Claude already knows, and lacks truly executable/concrete artifacts like code examples or scoring formulas. The workflow has a reasonable phased structure but lacks explicit validation checkpoints and feedback loops between phases.
Suggestions
Cut explanatory text that Claude already knows (e.g., 'People abandon forms more from thinking than typing', category definitions like 'Clear labels and instructions') to reduce token usage by 40%+.
Add a concrete scoring formula or rubric for calculating the Form Health & Friction Index rather than just listing category weights — e.g., specific criteria that earn/lose points within each category.
Include at least one concrete example: a sample form audit with the full output format filled in, showing the Health Index calculation, issue table, and recommended design.
Split detailed reference content (field-level optimization details, mobile checklist, measurement implementation) into separate bundle files and reference them from the main SKILL.md overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is significantly verbose for what it conveys. It over-explains concepts Claude already understands (e.g., what cognitive load is, why fields have costs, what inline validation means). The 'Purpose' and 'It prevents' sections under Phase 0 are unnecessary padding. Category definitions like 'Clear labels and instructions / Logical field order / Minimal decision fatigue' are things Claude inherently knows. The entire document could be cut by 40-50% without losing actionable content. | 2 / 5 |
Actionability | The skill provides structured guidance with specific recommendations (e.g., ≥44px touch targets, single column default, specific CTA copy examples, error message examples), but lacks executable code or concrete implementation artifacts. It's more of a checklist/framework than executable guidance — there are no code snippets, no HTML/CSS examples, no analytics implementation code, and the scoring system lacks a concrete calculation method or formula. | 3 / 5 |
Workflow Clarity | There is a phased structure (Phase 0 → Phase 1 → optimization → measurement → output), but the phases are loosely connected with no explicit validation checkpoints or feedback loops. The Health & Friction Index scoring lacks a concrete calculation procedure — it defines weights but not how to actually score each category. The 'If verdict is Broken, stop and recommend structural fixes first' is a good checkpoint, but the overall workflow lacks clear decision gates between phases. | 3 / 5 |
Progressive Disclosure | The content is structured with clear section headers and a logical hierarchy, but it's a monolithic document that would benefit from splitting detailed sections (field-level optimization, mobile optimization, measurement) into separate reference files. The 'Related Skills' section at the bottom references other skills well, but the main document is too long for an overview file. No bundle files exist to offload detailed content. | 3 / 5 |
Total | 11 / 20 Passed |