This skill performs a focused, single-page SEO analysis: it inspects title/meta tags, header hierarchy, canonical and robots directives, schema markup, image accessibility and sizing, and provides a prioritized scorecard and recommendations. When available it reads a local shared data cache to reuse prior audit context and can integrate with DataForSEO for live SERP/backlink signals. Outputs include a human-readable issues list, remediation steps, and ready-to-use JSON-LD snippets for schema opportunities.
Use when you need a quick but thorough audit of one page — e.g., "analyze this page", "check page SEO", or when you can provide a single public URL or rendered HTML snapshot. Not intended for full site crawls.
Primarily designed for Codex/Codex-CLI and CLI-capable agents that can fetch HTML and run Python helpers; can be used with server-side agents that provide rendered snapshots or DataForSEO integrations.
Single-page SEO analysis skill providing structured on-page, content quality, technical, schema, and image audit instructions. No bundled scripts — purely instructional. Well-organized with clear scoring rubrics, error handling table, and output template. References a shared data cache system for cross-skill context. Clean from a security standpoint with no network calls, credentials, or destructive commands.
No scripts to execute — audit is static analysis only. SKILL.md is well-written and covers a real use case. The shared cache pattern is interesting but creates a dependency on other skills in the same repo. Scoring rubric in the skill output is agent-judged rather than deterministic, which is fine for this type of skill.