Content
88%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 content is highly actionable and well-structured with explicit validation checkpoints across all workflows, supported by real bundle files. Its main weakness is length — some inline reference material and generic output protocol could be externalized to tighten the overview.
Suggestions
Move the 'Before/After Examples' section into a reference file (e.g. references/optimization-examples.md) and keep only a brief pointer in SKILL.md to reduce inline length.
Trim or relocate the generic 'Communication' output-format protocol, which is not ASO-specific and competes with the actionable ASO content for context.
Consider moving the detailed sample-size and A/B prioritization tables into references/aso-best-practices.md, leaving a one-line summary inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and actionable without explaining concepts Claude already knows, but at ~440 lines the before/after examples and the generic 'Communication' output protocol add length that could be trimmed or moved to a reference. | 4 / 5 |
Actionability | Copy-paste-ready script invocations ('python keyword_analyzer.py --keywords "todo,task,planner"'), concrete title formulas, character-limit tables, density targets, and sample-size tables fully cover the common cases. | 5 / 5 |
Workflow Clarity | Each of the five workflows is a clearly numbered sequence ending in an explicit '**Validation:**' checkpoint, with checklists (Pre-Launch Checklist) and feedback loops for error recovery. | 5 / 5 |
Progressive Disclosure | References to keyword-research-guide.md, platform-requirements.md, and aso-best-practices.md are well-signaled and one level deep (and the files exist), but a large volume of tabular and before/after content remains inline rather than split out. | 4 / 5 |
Total | 18 / 20 Passed |