Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable body with strong templates and a clean one-level reference, though it leans on some broadly-known CRO principles and lacks explicit validation checkpoints in its advisory workflow.
Suggestions
Trim or condense the 'Core Principles' section, which restates widely-known conversion concepts Claude already knows, to improve token efficiency.
Add an explicit validation/checklist step in the Initial Assessment flow (e.g. confirm product model and conversion rate are known before recommending) to strengthen workflow clarity.
Tighten the 'Timing and Frequency' and 'Anti-Patterns' sections into fewer bullets where the guidance overlaps common UX knowledge.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with tight bullet lists and templates, but the 'Core Principles' section restates widely-known CRO/UX concepts (e.g. 'Value Before Ask,' 'Show, Don't Just Tell') that Claude already knows, pulling it below the lean/efficient anchor. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready paywall templates (Feature Lock, Usage Limit, Trial Expiration) plus specific screen-component guidance, A/B-test variables, and named metrics to track, matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | The Initial Assessment flow (read product-marketing context, then clarify three areas) is sequenced, but checkpoints are implicit and there is no validate/verify feedback loop before issuing recommendations. | 2 / 3 |
Progressive Disclosure | SKILL.md serves as a well-organized overview with a single clearly-signaled one-level-deep reference to references/experiments.md (a real file), matching the clear-overview-with-well-signaled-references anchor. | 3 / 3 |
Total | 10 / 12 Passed |