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.
A strong, information-dense instruction skill: concrete specs, a fully specified script template, validation checklist, and error-recovery guidance, with essentially no filler or explanation of things Claude already knows. The only improvements are trimming the persona opener and unsourced conversion statistics, and moving the reference-grade spec/rejection tables into a references file.
Suggestions
Drop the roleplay opener and the unverifiable conversion statistics ('5–25%', '8–15%') — they add tokens without executable value and are the main conciseness deductions.
Move the platform spec tables and the Apple rejection-reason table into references/specs.md, keeping SKILL.md as a lean overview with a clearly signaled one-level-deep pointer (this also improves progressive_disclosure).
Format the cross-skill handoffs (ab-test-store-listing, screenshot-optimization, localization) as consistent, clearly signaled links so navigation between skills is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence — spec tables carry values with no explanation, the beat template is a single table, and there's no tutorial padding about what App Store is. A few tokens could be trimmed: the roleplay opener ('You are an App Store Preview video specialist') and unverifiable conversion statistics ('lift product page conversion by 5–25%', 'lifts conversion 8–15%') add length without executable value. This fits anchor 4 ('efficient; minor instances... that could be trimmed') better than 5, whose bar is that every token earns its place. | 4 / 5 |
Actionability | Guidance is copy-paste actionable throughout: exact spec values ('15–30 seconds', 'H.264, MP4 / MOV', '1080×1920 portrait min'), a timestamped beat-by-beat template with per-platform rules, a fill-in-the-blank script output format, and a rejection-reason-to-fix table. For an instruction-only skill this matches the anchor 5 example's specificity ('specific examples cover the common cases'), with no pseudocode or vague direction. | 5 / 5 |
Workflow Clarity | The sequence is explicit: a numbered Initial Assessment (context file → App ID/platform → recordings → conversion goal → localization scope), then a concrete script/production path, closing with an explicit pre-submission validation checklist and a rejection-reason→fix recovery table. The skill involves no destructive or batch operations, so no cap applies, and the checklist + fix mapping satisfy anchor 5's 'explicit validation steps; feedback loops for error recovery; checklists'. | 5 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ absent), and the ~135-line body is well-sectioned with clear headers, so navigation is easy. However, self-contained reference material — the full platform spec tables, rejection-reason table, and tiered localization detail — is inlined where a one-level-deep references/ file would keep SKILL.md lean, and cross-skill pointers (e.g. 'see ab-test-store-listing') are plain-text mentions rather than clearly signaled links. Anchor 4 ('good structure; most content appropriately placed; minor organization gaps') fits better than 5, which expects a slim overview pointing to well-signaled external files. | 4 / 5 |
Total | 18 / 20 Passed |