What problem does it solve? Manually auditing and fixing SEO across a web project requires choosing among many disciplines (technical, schema, sitemap, content, GEO) and editing files one by one. This Skill removes that burden by perceiving the project, deciding which SEO disciplines apply, and applying every relevant fix directly to the source in one autonomous pass. ## Core Features & Use Cases - Autonomous relevance decision: Scans the codebase to detect framework, routes, and business type, then decides which SEO disciplines apply without asking the user. - Parallel specialist analysis: Fans out read-only specialist subagents for technical SEO, schema, sitemap, content, images, GEO, and conditional disciplines like local, e-commerce, and hreflang. - Safe coordinated apply: Merges and dedupes proposed edits, applies them idempotently on a feat/seo-pass branch, runs the project build, and commits in logical units. - Use Case: Point it at a Next.js marketing site and receive a single branch with canonical metadata, JSON-LD schema, a sitemap route, robots config, and image alt fixes, plus a report of what was applied and what needs human input. ## Quick Start Ask the AI to run a full SEO pass on the current project and apply every applicable fix on a new branch for review.
