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json-ld-valid

Use when generating or auditing any `<script type='application/ld+json'>` blocks, implementing structured data for articles, products, FAQs, breadcrumbs, or local businesses, or investigating why rich results are not appearing in Google Search Console.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/json-ld-valid/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 body is well-organized and actionable with a clean one-level reference to rule.md, but it loses conciseness to the redundant 'Explain' section and lacks an explicit validate-fix-retry feedback loop in its workflows.

Suggestions

Remove or collapse the 'Explain' section — it re-teaches JSON-LD/rich-results basics Claude already knows and duplicates the intro; keep only any non-obvious detail.

Add an explicit feedback loop in 'Fix' (e.g. 'If validation fails, fix the reported errors and re-run the Rich Results Test until it passes').

Surface the `references/rule.md` pointer earlier (e.g. in Quick Reference) rather than after a trailing horizontal rule, so the one-level reference is immediately visible.

DimensionReasoningScore

Conciseness

Mostly efficient with clear sections, but the 'Explain' section restates what JSON-LD and rich results are — concepts Claude already knows — and overlaps with the intro paragraph on silent failure, which is noticeable padding.

3 / 5

Actionability

Provides concrete guidance: exact `@context` value, per-type required property lists (Article, Product, FAQPage, BreadcrumbList), specific validation URLs, and a JSON.parse-based review procedure; only minor gaps (no inline code, which is appropriately deferred).

4 / 5

Workflow Clarity

Check and Fix are clearly numbered sequences with explicit validation steps (Rich Results Test, JSONLint), but there is no explicit error-recovery feedback loop ('if validation fails, fix and re-validate').

4 / 5

Progressive Disclosure

Well-structured sections (Quick Reference, Check, Fix, Explain, Code Review) with a clearly signaled one-level-deep pointer to the verified `references/rule.md` for code examples and framework guidance; the reference pointer sits slightly buried after a horizontal rule.

4 / 5

Total

15

/

20

Passed

Description

87%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 strong: it opens with an explicit 'Use when' trigger, names concrete actions and structured-data types, and occupies a clear, low-conflict niche. Minor room remains to add a couple more natural synonyms (e.g. 'schema markup', 'schema.org').

DimensionReasoningScore

Specificity

Lists several concrete actions ('generating', 'auditing', 'implementing structured data', 'investigating why rich results are not appearing') across named domains (articles, products, FAQs, breadcrumbs, local businesses), with only minor coverage gaps versus a fully comprehensive enumeration.

4 / 5

Completeness

Explicitly answers both what (generate/audit/implement JSON-LD structured data for listed types) and when via a concrete 'Use when...' clause with multiple trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Good coverage of natural terms a user would say ('structured data', 'JSON-LD blocks', 'rich results', 'Google Search Console', 'FAQs', 'breadcrumbs', 'local businesses') including synonyms, though a few natural phrasings like 'schema markup' or 'schema.org' are absent.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (JSON-LD structured data / rich results / Search Console diagnostics) with distinct, specific triggers and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
thedaviddias/Front-End-Checklist
Reviewed

Table of Contents

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