Content
82%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 highly actionable body: specific campaign structures, bidding tables, metric targets, cadences, and an output template let Claude execute a UA plan directly, with feedback loops embedded in the optimization checklist. The main improvement levers are trimming the persona opener, adding explicit error-recovery/edge-case checkpoints, and splitting the per-channel deep dives into reference files.
Suggestions
Trim the persona opener ("You are an expert in mobile app user acquisition…") and merge overlapping channel guidance (budget-tier table vs. channel-comparison table) to cut tokens without losing decision value.
Add explicit decision checkpoints for edge cases — e.g., what to recommend when LTV data is unavailable or when actual CPI exceeds target after week 1 — to strengthen the feedback-loop structure of the workflow.
Move the per-channel deep dives (ASA/Meta/Google setup detail) into references/ files and keep the budget/channel decision tables inline in SKILL.md for lighter initial context loading.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense tables and checklists carrying UA-specific numbers (CPI ranges, bid targets, conversion benchmarks) that Claude cannot reliably recall, so nearly every token earns its place; minor trimmable padding ("You are an expert in mobile app user acquisition…", "Works for any budget") keeps it below the lean anchor of 5, while the absence of any explanation of concepts Claude already knows rules out 3. | 4 / 5 |
Actionability | Guidance is concrete down to numbers and placeholders: exact campaign trees ("Brand Campaign (exact match)… Discovery Campaign (Search Match)"), bid tables ("< $0.50", "$2-5"), a fill-in output template, and an optimization checklist — the instruction-only equivalent of copy-paste-ready commands covering the common cases, matching the top anchor rather than the minor-gaps anchor of 4. | 5 / 5 |
Workflow Clarity | A clear sequence runs Initial Assessment → Channel Selection → per-channel setup → Optimization Cadence → Output Format, with checkpoints like "Check for `app-marketing-context.md`" and feedback loops such as "Pause keywords with CPA > 2x target"; it stops short of 5 because there are no explicit error-recovery paths (e.g., what to do when LTV is unknown or actual CPI exceeds target). | 4 / 5 |
Progressive Disclosure | A single, cleanly sectioned file with decision-relevant content inline and a Related Skills pointer, and no bundle files exist; 5 is unavailable because ~200 lines exceeds the under-50-line no-references exception and the per-channel deep dives (ASA/Meta/Google) could live in references/, while the clean organization and coherent inline placement rule out 3. | 4 / 5 |
Total | 17 / 20 Passed |