Content
75%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-structured, actionable advisory skill: clear lifecycle-phase framework, concrete benchmark data, and ready-to-use templates and message copy. Main gaps are the missing method behind the required impact estimates, minor redundancy in push-notification guidance, and a dangling reference to a context file not present in the bundle.
Suggestions
Add a one-line method for the required impact estimate (e.g. how to compute "[X]% improvement = [Y] additional monthly users" from the current DAU/retention figures) so the output template is fully fillable.
Consolidate the push-notification guidance that currently appears in both "2. Habit Formation" and "Push Notification Strategy" into a single section or move the day-by-day calendar table to a reference file.
Resolve the "app-marketing-context.md" reference: either include it in the bundle (e.g. under references/) or mark it as an optional external context file so the instruction is not a dead path.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well compressed: benchmark and notification tables, terse Diagnose/Optimize bullet lists, and no padding explaining what retention is. It sits at anchor 4 rather than 5 because of minor over-explanation Claude could infer (e.g. "The first session determines everything. Users who don't reach the 'aha moment' in session 1 rarely return.") and the somewhat redundant push-notification guidance appearing in both the framework and the tactics section. | 4 / 5 |
Actionability | Guidance is highly concrete for an advisory skill: category benchmark table with "Good" thresholds, day-by-day push copy ("Day 3: Value reminder — Your [data/content] is ready to view"), cancellation-flow responses mapped to reasons, and a fill-in output template. It falls short of anchor 5 because the "Estimated Impact: [X]% improvement = [Y] additional monthly users" output is required but no method is given for deriving those numbers. | 4 / 5 |
Workflow Clarity | The sequence is clear and well-ordered: a five-step Initial Assessment (including "Check for app-marketing-context.md — read it for context"), four framework phases ordered by user lifecycle, then a defined Output Format. It matches anchor 4 rather than 5 because there are no explicit checkpoints validating inputs (e.g. confirming metrics are available before producing the diagnostic) or feedback loops after the plan is produced; this is acceptable since the skill is advisory, not destructive/batch, so no cap applies. | 4 / 5 |
Progressive Disclosure | The single-file body (~160 lines) is well-sectioned with clear headers, an up-front assessment, and a Related Skills pointer list, with no nested references. It scores 4 rather than 5 because the detailed tactic tables (industry benchmarks, notification calendar, cancellation flows) are candidates for a one-level-deep reference file, and the body instructs reading "app-marketing-context.md", a file that does not exist in this skill's bundle (no references/ directory present), which weakens navigation reliability. | 4 / 5 |
Total | 16 / 20 Passed |