Content
63%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 content is a well-structured, highly actionable GEO audit guide with concrete checklists, scoring rubrics, and an output template, but it is a long monolithic file with no progressive disclosure and some tighten-able context padding.
Suggestions
Move each platform's detailed checklist and rubric into a per-platform reference file (e.g. references/google-aio.md) and keep SKILL.md as an overview with one-level-deep links.
Trim the 'How X Selects Sources' context blocks to the single highest-signal fact per platform to reduce length while preserving the actionable checklist.
Add an explicit validation/verify step to the workflow (e.g. 'Confirm each platform score sums to 100 before generating the report') to strengthen workflow checkpoints.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with specialized stats Claude may not know, but the repeated 'How X Selects Sources' context blocks across five platforms add length that could be tightened without losing actionability. | 3 / 5 |
Actionability | Concrete per-platform checklists with specific steps (e.g. 'Submit a key file at /.well-known/indexnow-key.txt'), point-allocated scoring rubrics, and a copy-paste output template give mostly executable guidance with minor gaps since no runnable scripts are provided. | 4 / 5 |
Workflow Clarity | A clear 4-step 'How to Use This Skill' sequence is paired with per-platform scoring rubrics that act as implicit checkpoints, though explicit verify/retry feedback loops are absent. | 4 / 5 |
Progressive Disclosure | The file has clear section headers but is a single 276-line monolith with no bundle files; the five platform sections are content that could plausibly live in separate per-platform reference files, so structure is present but not split. | 3 / 5 |
Total | 14 / 20 Passed |