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faq

Use when adding FAQ sections to landing pages or blog posts, generating FAQPage JSON-LD from existing Q&A content, or validating that structured data on pages with FAQ sections is syntactically and semantically correct.

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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 highly actionable with a copy-paste-ready example, a clear validated workflow, and a well-structured one-level-deep reference to the detail file. Its main weakness is redundancy — the 'Explain' and 'Code Review' sections substantially restate the intro and 'Check' sections and could be consolidated to save context tokens.

Suggestions

Merge the 'Explain' section into the intro paragraph: both make the same 'expandable Q&A pairs in the SERP / increases click-through rate' point, so keep only the one new fact (mismatched schema can trigger a manual action) as a warning note.

Consolidate 'Check' and 'Code Review' into a single validation section; both enumerate the same FAQPage/mainEntity/acceptedAnswer property checks, differing only in phrasing.

Add a short error-recovery step to the Fix workflow: after the Rich Results Test, instruct to fix any flagged properties and re-run until it passes — closing the feedback loop.

DimensionReasoningScore

Conciseness

Mostly efficient, but two sections restate earlier content: 'Explain' repeats the intro's benefit statement almost verbatim ('expandable Q&A pairs ... increases the page's visible footprint in the SERP ... click-through rate'), and 'Code Review' largely reprises the 'Check' section's validation questions. Not 4: the duplication is more than a minor trim — whole sections could be merged or cut.

3 / 5

Actionability

The Fix section gives a complete, copy-paste-ready JSON-LD block with correct FAQPage/Question/Answer structure, a specific validation tool URL ('Google's Rich Results Test at https://search.google.com/test/rich-results'), and property-level checks ('mainEntity is an array, each item has "@type": "Question", name is a non-empty string'). This fully matches the executable, common-cases-covered anchor.

5 / 5

Workflow Clarity

The Fix section is a clear 4-step sequence (identify pages → add JSON-LD → validate → cross-check against visible content) with an explicit validation checkpoint and a concrete matching requirement in step 4. Not 5: there is no explicit error-recovery feedback loop (e.g., 'if the Rich Results Test fails, fix the flagged properties and re-run'). Not 3: an explicit validation step is present, so the sequence is not checkpoint-missing.

4 / 5

Progressive Disclosure

The body is a well-sectioned overview (Quick Reference, Check, Fix, Explain, Code Review) that delegates implementation details and framework-specific guidance via a clearly signaled, one-level-deep pointer: 'see references/rule.md' — a real file containing the ✅/❌ code examples and detailed guidance. This matches the clear-overview/well-signaled-reference anchor exactly.

5 / 5

Total

17

/

20

Passed

Description

88%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.

A strong description with three concrete capabilities and an explicit, well-scoped 'Use when' clause covering add, generate, and validate scenarios. Its only gaps are a few missing natural synonyms ('FAQ schema', 'schema markup', 'rich results') and minor overlap risk with a generic structured-data validation skill.

DimensionReasoningScore

Specificity

The description lists three concrete, distinct capabilities — 'adding FAQ sections to landing pages or blog posts', 'generating FAQPage JSON-LD from existing Q&A content', and 'validating that structured data ... is syntactically and semantically correct' — comprehensively covering the skill's add/generate/validate scope. Not 4: there are no meaningful coverage gaps across the skill's tasks.

5 / 5

Completeness

Both what and when are explicit: an explicit 'Use when' clause names three concrete trigger scenarios, and the verbs (adding, generating, validating) clearly state what the skill does. Not 4: the 'when' is highly specific with concrete trigger phrases, matching the anchor-5 example pattern.

5 / 5

Trigger Term Quality

Good natural-term coverage: 'FAQ sections', 'landing pages', 'blog posts', 'FAQPage JSON-LD', 'Q&A content', 'structured data' — phrases users would naturally say. Not 5: common synonyms like 'FAQ schema', 'schema markup', or 'rich results' are missing, so a few natural trigger phrases a user might say would not match.

4 / 5

Distinctiveness Conflict Risk

The FAQPage/FAQ-section niche is clearly distinct, but 'validating that structured data on pages with FAQ sections' overlaps slightly with a hypothetical general structured-data/JSON-LD validation skill. Not 5: minor overlap risk remains around the generic 'structured data' wording; not 3: the FAQ-specific framing keeps it well distinguished from adjacent SEO skills.

4 / 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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

thedaviddias/Front-End-Checklist

Path

skills/faq/SKILL.md

Reviewed

Table of Contents

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