Content
42%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-organized but over-long knowledge dump: substantial portions restate generic onboarding knowledge Claude already has, and the actionable core (assessment questions, output formats, checklist example) is diluted by idea catalogs. Splitting the experiment catalog and pattern libraries into reference files and cutting common-knowledge sections would materially improve token efficiency.
Suggestions
Cut or compress sections that restate common knowledge (Core Principles, Empty States, Tooltips, Engagement Loops) to short one-line reminders, keeping only the skill's specific frameworks like the activation-definition method and the Output Format section.
Move the ~85-line Experiment Ideas catalog and Common Patterns by Product Type into a references/ file (e.g., experiments.md) linked from a short overview section, so the main SKILL.md stays a lean index.
Replace the circular 'When to Use' line ('This skill is applicable to execute the workflow or actions described in the overview') with an explicit ordered workflow: assess → define activation event → design flow → define metrics → deliver audit, with a checkpoint to confirm the activation event is measurable before designing the flow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Several sections restate standard product-growth knowledge Claude already has: 'Do, Don't Show - Interactive > Tutorial', the empty-state and tooltip best practices, the Trigger → Action → Variable Reward → Investment habit loop, and 'Show advancement / Celebrate completions'. Across ~430 lines this is noticeably verbose with multiple padded generic sections, matching the anchor 'noticeably verbose; several unnecessary explanations or padded sections' rather than the milder 'some unnecessary explanation' at 3. | 2 / 5 |
Actionability | There is concrete guidance — a checklist item structure with example copy ('☐ Connect your first data source (2 min)... [Connect Now]'), a funnel format with percentages, and an Output Format section defining audit findings (Finding/Impact/Recommendation/Priority) and deliverables. But much of the body is abstract idea lists ('Consider: Can they experience value BEFORE signup?', the ~85-line Experiment Ideas section) with no templates or executable steps, fitting 'some concrete guidance but incomplete'. | 3 / 5 |
Workflow Clarity | A rough sequence is implied (Initial Assessment → Defining Activation → Flow Design → Measurement → Output Format) and the deliverable formats give structure, but there is no explicit step-by-step workflow or validation checkpoint (e.g., verify the activation event is measurable before designing around it). This matches 'steps listed but validation gaps; sequence present but checkpoints missing or implicit' — the advisory, non-destructive nature avoids the lower cap but doesn't reach 4. | 3 / 5 |
Progressive Disclosure | The body has good section structure with clear headers, but it is monolithic: ~430 lines in a single SKILL.md with no bundle files (no references/, scripts/, or assets/ exist), and content that clearly belongs in separate files is inlined — notably the Experiment Ideas catalog and Common Patterns by Product Type. This fits 'some structure but could be better organized; content that should be separate is inline', and at this length it cannot use the under-50-lines simple-skill exception for a 5. | 3 / 5 |
Total | 11 / 20 Passed |