Orchestrates SEO and GEO audits across 20 sub-skills with local TypeScript analysis scripts.
npx skills add https://github.com/fusengine/kimi-code --skill seo-fusengine
Please help me install this Agent Skill. Skill: seo Source: https://github.com/fusengine/kimi-code/tree/main/plugins/seo/skills/seo Command: npx skills add https://github.com/fusengine/kimi-code --skill seo-fusengine
/seo command to 20 specialized sub-skills covering technical SEO, schema markup, content quality, local SEO, and AI Overviews readiness, all executed locally without third-party APIs. ## Core Features & Use Cases - Full-site audits with parallel sub-agents: /seo audit <url> detects the business type (SaaS, local, e-commerce, publisher, agency) and spawns parallel sub-agents for technical SEO, schema, content, GEO, entity, images, and sitemap analysis, producing a unified SEO Health Score (0-100) with a prioritized action plan. - GEO 2026 optimization: Dedicated sub-skills for AI Overviews, ChatGPT, Perplexity, and Kimi readiness, including citation strategies, LLM crawlability, and Share of Model tracking guidance. - Local-first tooling: TypeScript/Bun scripts parse meta tags, validate JSON-LD offline, check Core Web Vitals via Lighthouse, validate sitemaps/robots/hreflang, and compute SEO drift against git HEAD — zero Google APIs, zero Python. - Use Case: Run /seo audit https://example.com on a local business site to receive a consolidated report in .fuse-seo/reports/ covering robots.txt, JSON-LD validation, E-E-A-T signals, GBP optimization gaps, and AI-platform readiness, then delegate fixes to framework-specific skills like fuse-nextjs or fuse-astro. ## Quick Start Ask the AI to run /seo audit followed by your website URL to generate a full SEO and GEO report with a prioritized action plan.High-intent search queries and answers about installing and using this skill.
Run /seo audit followed by your URL. The orchestrator detects your business type, spawns parallel sub-agents for technical SEO, schema, content, GEO, entity, images, and sitemap analysis, then generates a unified report with an SEO Health Score and prioritized action plan.
GEO (Generative Engine Optimization) prepares content for AI platforms like ChatGPT, Gemini, Perplexity, and AI Overviews. The /seo geo command checks LLM readiness using citation strategies, structured content, FAQ schema, and recency signals, scored 0-100 by the geo-score script.
No. All analysis is local-first using TypeScript/Bun scripts: cheerio for meta parsing, offline JSON-LD validation against schema.org dumps, and Lighthouse CLI for Core Web Vitals. There are zero Google APIs, zero DataForSEO/Moz dependencies, and zero Python requirements.
Use /seo schema with a URL or local file path. The validate-schema.ts script checks JSON-LD against local schema.org dumps without network calls, supporting Article, FAQ, HowTo, Breadcrumb, LocalBusiness, and Product types.
Yes. Run /seo drift with a URL to compare current SEO state against the previous git HEAD using diff-seo.ts. After any analysis, the skill offers to capture a drift baseline for future comparisons.
The skill enforces quality gates: 30+ location pages trigger a warning, 50+ require a hard stop with manual audit, 100+ programmatic pages warn, and 500+ hard-stop. It also detects thin content and prevents doorway page patterns.
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