Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A strong, dense, actionable playbook for app-review rejection recovery with clear sequencing, templates, and checklists. Its main weakness is progressive disclosure: a large single file with reference-style taxonomy tables that could be split into bundle files to keep SKILL.md a lean overview.
Suggestions
Move the Apple and Google rejection taxonomy tables into reference files (e.g. references/apple-guidelines.md, references/google-policies.md) and summarize the classify-then-fix flow inline, so SKILL.md stays a lean overview pointing one level deep.
Add a short 'Quick start' section at the top (paste rejection → classify guideline → apply playbook → send Resolution Center response) so the core loop is scannable before the detailed tables.
Externalize the Resolution Center and Output templates into a references/templates.md file, referencing them by link, to further reduce inline bulk while keeping them copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, domain-specific instruction with no padding or explanation of concepts Claude already knows — every section (taxonomy tables, fix playbooks, response/output templates, checklists) earns its tokens; matches the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | Highly concrete guidance for an instruction-only skill: per-guideline numbered fix steps, a copy-paste Resolution Center response template, a named output template, and named forms (Expedited Request, App Review Board, Special Permissions Declaration form); fully actionable rather than abstract. | 3 / 3 |
Workflow Clarity | Clear sequenced flow (initial assessment questions → classify before fixing → playbook fixes → response → resubmission checklist → post-resubmission escalation) with an explicit checkbox checklist and an 'if rejected again' feedback loop; not 2 because validation checkpoints and escalation are present rather than implicit. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections and one-level cross-skill handoffs, but it is a ~200-line single file with large inline reference tables (Apple 16-row, Google 10-row taxonomies) that could be externalized into reference files; matches the 'some structure; content that should be separate is inline' anchor rather than the well-split 3 anchor. | 2 / 3 |
Total | 11 / 12 Passed |