Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A dense, actionable ASA playbook with concrete bids, formulas, and gated checklists. Its main weaknesses are minor explanatory padding in the intro and a monolithic single-file structure with no progressive disclosure into reference files.
Suggestions
Trim the "Why ASA Is Different" bullets and the opening persona sentence; assume Claude knows what an ad network is and lead with operational guidance.
Move the detailed Metrics/Benchmarks tables and Output Format template into a reference file (e.g. references/benchmarks.md) and link to it, so SKILL.md stays a lean overview and gains one-level-deep progressive disclosure.
Add an explicit validation/verification step to the Weekly Optimization Checklist (e.g., re-check ROAS after each bid change) to strengthen the feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The bulk is tight (tables, bid ranges, formulas, checklists), but the opening persona line and the "Why ASA Is Different" section explain fairly basic channel context that pads the file and could be trimmed. | 2 / 3 |
Actionability | Fully concrete guidance: specific bid ranges ($2–5, $1–2, $0.50–0.80), executable Appeeky GET endpoints, the Target CPT formula, and step-by-step CPP setup via App Store Connect. | 3 / 3 |
Workflow Clarity | Clear sequenced workflows (Search Match → broad discovery → mine terms → promote to exact) plus explicit validation gates — the Scaling Checklist (CVR > 30%, CPI < 3× target) and the automated-bidding 50+ conversions precondition. | 3 / 3 |
Progressive Disclosure | Well-organized with headers and tables, but everything lives inline in a single ~200-line file with no bundle files and no one-level-deep references; the "simple skill under 50 lines" exception does not apply here. | 2 / 3 |
Total | 10 / 12 Passed |