Content
90%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 body: tables of store-specific facts Claude cannot derive, a concrete scoring framework, and a ready-to-use output template with explicit console paths and switch timing. The two weaker spots are the absence of explicit validation/feedback checkpoints in the workflow and the lack of any reference-file split, leaving a fairly long single file inline.
Suggestions
Add an explicit validation checkpoint to the workflow — e.g., a step in the Selection Framework requiring the agent to confirm the 'top-100 downloads/day floor' via get_downloads_to_top and re-verify truth fit before issuing a 'recommend' verdict, turning the implicit checks into a validate-and-fix loop.
Move the stable reference-grade material — the primary/Games/Play category enumerations and the category-specific notes table — into a references/ file (e.g., references/categories.md) and keep the decision framework and output template in SKILL.md, slimming the always-loaded body.
Sequence the body more explicitly as an end-to-end procedure (intake → gather competitive data → score candidates → decide → render output → switch plan), so the workflow reads as one ordered process rather than parallel topical sections the agent must assemble itself.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is almost entirely dense tables of non-obvious domain facts — featuring activity by category, console navigation paths, switch costs ('4–8 weeks of re-indexing'), per-category editorial behavior — with essentially no padding prose and no explanation of concepts Claude already knows. Every section carries decision-relevant information, matching the 'lean and efficient; every token earns its place' anchor rather than level 4's 'minor instances of over-explanation'. | 5 / 5 |
Actionability | The guidance is fully executable for an instruction-only skill: exact console navigation ('App Store Connect → App Information → Primary/Secondary Category'; 'Play Console → Store presence → Main store listing → Category'), a concrete weighted candidate-scoring framework, a named data lookup ('get_downloads_to_top from Appeeky'), and a copy-paste output template covering recommendation, expected outcome, and switch plan. As the rubric's scoring notes allow for instruction skills, the absence of code is not penalized when the guidance is this actionable. | 5 / 5 |
Workflow Clarity | The sequence is clear — a 5-step Initial Assessment intake, then candidate scoring via the Selection Framework, then the output template with verdicts, recommendation, and switch plan — but validation checkpoints are implicit rather than explicit. It sits at anchor 4 ('clear sequence with most checkpoints present; minor validation gaps') rather than 5 because there is no explicit validate/verify/fix loop (e.g., re-checking data or confirming truth fit before recommending a switch); it is not 3 because the steps are well defined and a monitoring step ('weekly chart check', re-index window) does exist. | 4 / 5 |
Progressive Disclosure | The single-file body (~163 lines) is well-sectioned and easy to navigate, but there are no bundle files at all, and substantial reference-grade material — the full primary-category enumeration, the common trade-offs table, and the category-specific notes — is inlined where a references/ file would slim the always-loaded context. This lands on anchor 4 ('good structure; most content appropriately placed; minor organization gaps') rather than 5, which expects appropriately split content with clearly signaled one-level-deep references; it is above 3 because what is inline is clearly organized and nothing is buried or nested. | 4 / 5 |
Total | 18 / 20 Passed |