Content
85%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable ASO skill with excellent workflow clarity including explicit validation checkpoints for each process. The progressive disclosure is strong with clear navigation to reference materials and scripts. The main weakness is verbosity—the document is quite long and some tables/sections could be consolidated or trimmed without losing actionable value, particularly given that Claude can infer standard ASO concepts.
Suggestions
Consolidate the before/after examples section—keep 2-3 strongest examples and cut the rest to reduce overall length by ~30 lines
Trim the 'Communication' section at the bottom which describes generic output formatting conventions that don't add ASO-specific value
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite lengthy (~350+ lines) with some sections that could be tightened. Tables like 'Keyword Evaluation Criteria' weights and 'Launch Timing Considerations' add moderate value but the overall document is verbose for what Claude needs. The before/after examples section is valuable but could be more compact. Some sections like 'Communication' at the end explain output formatting conventions that feel padded. | 2 / 3 |
Actionability | The skill provides highly concrete, actionable guidance throughout: specific character limits per platform, exact keyword field optimization techniques (remove spaces after commas, remove plurals), formula templates for titles, hypothesis templates for A/B tests, sample size tables, and executable script commands with flags. The before/after examples are particularly actionable with specific analysis of what changed and why. | 3 / 3 |
Workflow Clarity | Each workflow has clearly numbered sequential steps with explicit validation checkpoints at the end (marked with **Validation:**). The validation steps include specific criteria like 'no competitor brand names included; no plurals in iOS keyword field' and 'significance reached (95%); results documented; winner implemented.' The A/B testing workflow includes a feedback loop (run until significance reached). Multi-step processes are well-sequenced with clear dependencies. | 3 / 3 |
Progressive Disclosure | The skill is well-structured with clear sections, each workflow self-contained with summary tables, and references to deeper materials are one level deep and clearly signaled (e.g., 'See: [references/keyword-research-guide.md]'). Scripts, references, and assets are organized in dedicated tables at the end. Related skills are cross-referenced appropriately. | 3 / 3 |
Total | 11 / 12 Passed |