Content
75%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 delivers highly actionable, well-structured audit guidance with weighted dimensions, concrete detection heuristics, scoring guides, error handling, and on-demand references. Its main weaknesses are repetition (the schema-types reference pointer and several statistics are restated multiple times) and inlining of industry schema patterns that are already delegated to a reference file.
Suggestions
State the "load ../seo/references/local-schema-types.md" pointer once (e.g., in the Reference Files section and once at first use) instead of five times across sections.
Move the per-vertical schema subtype patterns (Restaurant, Legal, Healthcare, etc.) entirely into local-schema-types.md, keeping only the subtype-correction rule inline, to remove duplication and reduce tokens.
Deduplicate statistics that appear in both the Key Statistics table and later sections (ChatGPT conversion rates, AI citation factor ranking) by citing them from one place only.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with domain facts Claude would not know (2026 study statistics, factor weightings, deprecated schema types), which is appropriate skill content. However, it includes noticeable repetition that could be tightened: "load ../seo/references/local-schema-types.md" appears at least five times, the ChatGPT 15.9% vs 1.76% conversion stat appears in both the Key Statistics table and the AI Search section, and "3 of top 5 AI visibility factors are citation-related" is stated twice. This matches the score-3 anchor ('mostly efficient but includes some unnecessary explanation or could be tightened') rather than the score-4 anchor, whose over-explanation would be only minor. | 3 / 5 |
Actionability | Guidance is fully concrete and executable for an instruction-only audit skill: copy-paste-ready search patterns ("site:yelp.com \"Business Name\""), exact schema property lists (geo with 5+ decimal places, priceRange <100 chars, unique @id, branchOf linking), weighted dimensions with Full/Partial/Low scoring guides, a specified output filename (LOCAL-SEO-ANALYSIS-{domain}.md) with an 11-section report structure, and named DataForSEO tools. Specific detection heuristics and error-handling scenarios cover the common cases, matching the score-5 anchor. | 5 / 5 |
Workflow Clarity | The sequence is discernible and sensible: detect business type (with explicit impact on which checks apply), detect industry vertical, run the six weighted dimensions, then produce a structured report, with an error-handling table covering unreachable URLs, missing NAP, ambiguous verticals, and a hard stop at 50+ location pages requiring user justification. It falls short of the score-5 anchor because validation checkpoints are mostly implicit (e.g., no explicit step to verify JSON-LD parses before scoring schema) and the overall step order is conveyed by section arrangement rather than an explicit ordered procedure. The score-3 anchor's missing-checkpoint bar is not met because checkpoints (error handling, scoring gates, user-confirmation loops) are present for the fragile steps. | 4 / 5 |
Progressive Disclosure | References are one level deep and clearly signaled with a dedicated "Reference Files / Load on-demand as needed" section giving a one-line description of each file's content, which is good structure. It is not a 5 because the industry-specific schema patterns (Restaurant/Legal/Auto/Healthcare subtype tables) are inlined in the body while also being delegated to local-schema-types.md, duplicating content that belongs in the reference, and the referenced ../seo/references/ files cannot be verified within this bundle copy (no references/ directory is present), leaving minor organization gaps consistent with the score-4 anchor. | 4 / 5 |
Total | 16 / 20 Passed |