core
SolidExtraction schemas, QC criteria, provider routing rules, and page estimation for the reading-assistant plugin
Install
Quality Score: 78/100
Skill Content
Details
- Author
- shaii819
- Repository
- shaii819/reading-assistant-for-claude
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
extractability-check
Diagnose whether an AI retrieval crawler can actually see and cite a candidate's web page. Use whenever someone gives a page URL and asks what an "AI crawler sees," whether their page is "citable," "extractable," "visible to AI," "retrievable," or "AI-readable" — or asks why their content isn't getting cited/surfaced by AI answer engines. Fetches the page as a non-JS-executing bot would (raw server HTML) and reports whether substantive content is present pre-hydration, whether facts are front-loaded, dated, and sourced, whether Person/FAQPage JSON-LD exists, and whether headings are questions/topics vs slogans. Routes each finding to the right fix skill in this suite. Diagnostic only — never modifies the site. Trigger even when the user just pastes a URL and asks "how does this look to AI?"
accessibility
Unified WCAG 2.2 accessibility audit. Crawl mode: score pages across all 86 success criteria. Session mode: return WCAG checklist for the requested level. Optional axe-core engine (Deque: automation detects ~57% of accessibility issues; manual testing still required).
seo-content
Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".