schema-markup-generator

Use when the user asks to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "add FAQ rich results", "I want star ratings in Google", "product markup", or "recipe schema". Generates structured data markup (Schema.org JSON-LD) to enable rich results in search engines including FAQ snippets, How-To cards, Product listings, Reviews, and more. For meta tag optimization, see meta-tags-optimizer. For broader technical SEO, see technical-seo-checker.

Quality

79%

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Securityby

Low

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tessl review fix ./.agents/skills/schema-markup-generator/SKILL.md

Quality

Content

63%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is highly actionable — complete templates, validation tools, checklists, and a worked example — but it is severely over-inflated relative to its own reference files: ~785 lines that largely duplicate references/schema-templates.md, with four overlapping tables and a promotional nav block. Corrupted "~~" placeholders and broken relative links further degrade workflow and navigation quality.

Suggestions

Remove the eight full inline JSON-LD template blocks from SKILL.md and replace them with brief per-type summaries that point to ./references/schema-templates.md, which already contains the same templates.

Consolidate the four overlapping tables (Schema Type Quick Reference, Decision Tree, Industry-Specific Recommendations, Implementation Priority) into one compact mapping table, moving the rest into a reference file.

Fix the corrupted "~~" placeholders ("~~schema validator", "~~search console", "~~web crawler") with the real tool names, and repair or remove the broken relative links ../../CONNECTORS.md and ../../references/core-eeat-benchmark.md.

Dimension	Reasoning	Score
Conciseness	The ~785-line body inlines complete JSON-LD templates for 8 schema types that substantially duplicate references/schema-templates.md, plus a library cross-promotion nav block and four overlapping tables (Quick Reference, Decision Tree, Industry-Specific, Implementation Priority). This is noticeably verbose with several padded/duplicated sections rather than only minor over-explanation, fitting the 2 anchor.	2 / 5
Actionability	Complete copy-ready JSON-LD templates with bracketed values, concrete validation URLs (validator.schema.org, rich results test), HTML implementation placement options, and a fully worked executable FAQPage example cover the common cases end to end, matching the 5 anchor.	5 / 5
Workflow Clarity	The 10-step sequence (identify content type → map schema → generate → implement/validate) is clear with explicit Input/Output validation checklists, but there is no error-recovery loop after validation failures and the validator names are corrupted placeholders ("~~schema validator", "~~search console"), so it falls short of the 5 anchor.	4 / 5
Progressive Disclosure	References are one level deep and clearly signaled in a "Reference Materials" section, but the template content that belongs in those files is duplicated inline in SKILL.md, and two referenced paths (../../CONNECTORS.md, ../../references/core-eeat-benchmark.md) do not resolve from this bundle — "content that should be separate is inline" matches the 3 anchor.	3 / 5
	Total	14 / 20 Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is a near-exemplar: it explicitly answers both what the skill does and when to use it, with a rich set of natural trigger phrases users would actually say, in third person. Its only minor weakness is that a single verb ("generates") carries the capability statement rather than enumerating several distinct actions.

Dimension	Reasoning	Score
Specificity	"Generates structured data markup (Schema.org JSON-LD) to enable rich results in search engines including FAQ snippets, How-To cards, Product listings, Reviews, and more" names the domain and concrete output types in third person, but a single verb ("generates") carries all actions, so it lists several specifics without the multi-action comprehensiveness of a 5.	4 / 5
Completeness	An explicit "Use when the user asks to…" clause with concrete quoted trigger phrases answers "when", and "Generates structured data markup (Schema.org JSON-LD) to enable rich results…" clearly answers "what" — both present and explicit, matching the 5 anchor.	5 / 5
Trigger Term Quality	"add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "add FAQ rich results", "I want star ratings in Google", "product markup", "recipe schema" — comprehensive natural-term coverage including colloquial phrasings users would actually say, matching the top anchor exactly.	5 / 5
Distinctiveness Conflict Risk	The schema-markup/JSON-LD niche is distinct, and the description actively disambiguates its nearest neighbors ("For meta tag optimization, see meta-tags-optimizer. For broader technical SEO, see technical-seo-checker."), keeping conflict risk minimal.	5 / 5
	Total	19 / 20 Passed

Validation

81%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (787 lines); consider splitting into references/ and linking	Warning
metadata_field	'metadata' should map string keys to string values	Warning
relative_links	Relative link issues: 27 suspicious	Warning

	Total	13 / 16 Passed

Repository: teeclaw/phorm-nft
Path: .agents/skills/schema-markup-generator/SKILL.md
Commit: 02adecb

Reviewed: 6 days ago

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