Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with complete templates and a strong validation workflow, but it is monolithic with no progressive disclosure via bundle files, and Google-doc caveats are repeated across steps. Tightening the redundant caveat passages and (optionally) extracting per-type templates into references would lift the lower dimensions.
Suggestions
Consolidate the repeated Google-doc/deprecated-type caveats (Step 2, Step 6, Step 8 generative-AI note) into a single validation section to improve conciseness.
Extract per-type schema templates and the per-surface status table into a references/ file (e.g. schema-templates.md) and link to it from SKILL.md to add one-level-deep progressive disclosure.
Tighten Step 6 (FAQPage) by removing explanatory context Claude already knows, keeping only the emit-condition rules.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete JSON templates and minimal conceptual preamble, but Google-doc caveats are restated across Step 2, Step 6 (FAQPage), and the Step 8 generative-AI note, which could be consolidated; it is tighter than the verbose anchor but not fully lean. | 2 / 3 |
Actionability | Provides complete, copy-paste-ready JSON-LD templates for every schema type, a per-surface validation table, eight explicit validation checks, and a concrete script-safe encoding procedure (replace '</' with '<\/', '<' with '\u003c'). | 3 / 3 |
Workflow Clarity | A clear 9-step sequence (Read -> generate each entity -> Validate & Warn -> Output) with an explicit validation checklist and feedback guidance, satisfying the anchor for clear sequencing with validation checkpoints. | 3 / 3 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent), so the ~290-line body is a single monolithic file with all templates and the validation table inline; it is well-sectioned but lacks one-level-deep external references that the per-type reference material could be split into. | 2 / 3 |
Total | 10 / 12 Passed |