Content
63%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.
A well-organized, largely actionable instruction skill with a coherent assessment-to-output flow, dragged down by a critical bundle inconsistency: the funnel analyzer the workflow and output format depend on is referenced but does not exist. There is also moderate redundancy with general onboarding/UX knowledge Claude already holds.
Suggestions
Ship scripts/activation_funnel_analyzer.py in the bundle (or remove the dependency): the Measurement section and the Onboarding Audit output format both instruct running it, but no scripts/ directory exists, so 'Lead with the analyzer's output' cannot be executed as written.
Trim sections that restate common UX knowledge — e.g., the tooltip/empty-state best-practice bullets and 'Welcome email (immediate)' timings — down to only non-obvious, domain-specific guidance to cut token spend.
Move the product-type pattern tables (Common Patterns by Product Type, aha-moment examples, email trigger timing) into a references/ file linked one level deep, keeping SKILL.md as a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly scannable bullets and tables, but several sections restate generic UX knowledge Claude already has ("3-7 items (not overwhelming)," "Dismissable at any time," "Don't repeat for returning users," "Welcome email (immediate)"), and the "Experiment Ideas" section is a vague list of categories. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than 4, where over-explanation would be only minor. | 3 / 5 |
Actionability | The guidance is largely concrete and executable: an exact command ("python3 scripts/activation_funnel_analyzer.py funnel.json --json"), specified outputs ("an activation score 0-100, and names the biggest-loss step"), a defined report format ("Finding → Impact → Recommendation → Priority"), and precise timings ("24h, 72h" and "days 3, 7, 14"). It stops short of fully copy-paste ready because the referenced analyzer script does not exist in the bundle and copy examples are described rather than shown. | 4 / 5 |
Workflow Clarity | A clear sequence is discernible and partially explicit: check product-marketing context first, answer the Initial Assessment and Task-Specific Questions, run the funnel analyzer, then produce output led by the analyzer's score. It fits 'clear sequence with most checkpoints present; minor validation gaps' — the audit procedure is well-sequenced but there are no checkpoints verifying input data (e.g., confirming funnel numbers before the audit), keeping it below 5. | 4 / 5 |
Progressive Disclosure | Scored against the actual bundle: no scripts/, references/, or assets/ directories exist, so the body's promise to "Run the bundled analyzer" ("python3 scripts/activation_funnel_analyzer.py") is a dangling reference to a missing file that the output format depends on ("Lead with the analyzer's output"). The in-file structure is good (clear headers and tables), so it is not anchor 2's 'minimal structure,' but ~245 lines of split-worthy reference material (product-type pattern tables, email trigger details) are inlined with a broken file reference, matching anchor 3. | 3 / 5 |
Total | 14 / 20 Passed |