Content
36%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 body is well-sectioned and rich in input/output schemas, but it is a verbose capability catalog rather than an operational skill: no executable script invocations, no sequenced workflows with validation, and heavy padding from repetitive example prompts and generic best-practice prose. The inlined script API documentation duplicates content that belongs in the (missing) script files themselves.
Suggestions
Replace the seven repetitive "How to Use" prompt examples and the generic Best Practices lists with a compact per-task workflow, and move the per-script function inventories into the script files or a single references/ file.
Add executable invocation examples (e.g. `python scripts/keyword_analyzer.py --input keywords.json`) for each of the eight scripts, including expected output and error handling.
Define a step-by-step sequence with validation checkpoints for the main workflows (keyword research → metadata optimization → validation against character limits → A/B test plan), rather than describing capabilities in the abstract.
Isolate time-sensitive facts (character limits, verification dates, "as of November 2025") into a clearly dated section so the core guidance stays evergreen.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | At ~420 lines the body pads heavily: seven near-identical "Hey Claude—I just added the 'app-store-optimization' skill..." example prompts and best-practice lists of knowledge Claude already has ("Reply to reviews within 24-48 hours", "Use professional translators, not machine translation"). Time-sensitive facts (character limits, "as of November 2025", "Verified 2026-10-23") are woven into the main body rather than isolated in a dated section, further penalizing conciseness per the rubric guidelines. | 2 / 5 |
Actionability | Concrete JSON input schemas, output format specs, and per-script function inventories exist, but there is not a single executable command — no `python scripts/keyword_analyzer.py ...` invocation, no runnable code, and no worked example for any of the eight listed scripts. | 3 / 5 |
Workflow Clarity | The body is a capability catalog: no numbered end-to-end workflow, no validation checkpoints, and no error-recovery loops for any task. Only the A/B section's stopping-rule guidance is validation-adjacent, and per-task "How to Use" prompts give rough direction without sequenced steps. | 2 / 5 |
Progressive Disclosure | Section headers make in-document navigation easy, but ~90 lines of per-script function documentation are inlined in SKILL.md even though the "eight bundled modules" are absent from the bundle (no scripts/, references/, or assets/ directories exist) and no file paths are given, so the references cannot be verified or navigated. | 3 / 5 |
Total | 10 / 20 Passed |