SEO Skill (Antigravity / Claude / Codex)

An LLM-first SEO analysis skill for agent IDEs, with 16 specialized sub-skills, 10 specialist agents, and 33 scripts used as evidence collectors and workflow automation.

IDE Compatibility

• Antigravity IDE (.agent/skills/seo)
• Claude Code (~/.claude/skills/seo)
• Codex (~/.codex/skills/seo)

📦 Current Inventory

• Specialized sub-skills: 16
• Specialist agents: 10
• Scripts in scripts/: 33 (32 Python + 1 shell validation helper)

🐙 GitHub SEO Metadata

Recommended GitHub repository description (About field):

LLM-first SEO skill for Antigravity, Claude, and Codex with 16 sub-skills, 10 specialist agents, and GitHub SEO workflows that output GITHUB-SEO-REPORT.md and GITHUB-ACTION-PLAN.md.

Suggested GitHub topics:

seo, llm, github-seo, ai-search, geo, aeo, technical-seo, schema, core-web-vitals, codex, claude-code, antigravity

✨ Features

Sub-Skill	Description
seo audit	Full website audit with evidence-backed scoring
seo article	Article data extraction & LLM-driven content optimization
seo page	Deep single-page analysis
seo technical	Crawlability, indexability, security, Core Web Vitals, AI crawlers
seo content	Content quality & E-E-A-T assessment (Sept 2025 QRG)
seo schema	Schema.org detection, validation & JSON-LD generation
seo sitemap	XML sitemap analysis & generation
seo images	Image optimization audit (alt text, formats, lazy loading, CLS)
seo geo	Generative Engine Optimization — AI Overviews, ChatGPT, Perplexity
seo aeo	Answer Engine Optimization — Featured Snippets, PAA, Knowledge Panel
seo links	Link profile analysis — internal links, backlinks, anchor text, orphan pages
seo programmatic	Programmatic SEO safeguards & quality gates
seo competitors	Comparison & alternatives page generation
seo hreflang	International SEO / hreflang validation
seo plan	Strategic SEO planning with topical clusters & industry templates
seo github	GitHub repository SEO: metadata/topics, README quality, community profile, query benchmarking, traffic archiving

🧠 LLM-First Workflow

This skill is designed for reasoning-first SEO analysis:

1. Collect page evidence (read_url_content first, scripts optional).
2. Analyze with LLM using explicit proof for each finding.
3. Apply confidence labels (Confirmed, Likely, Hypothesis).
4. Prioritize by impact and effort.
5. Produce a structured action plan.

Required Rubric

All audits should apply:

• resources/references/llm-audit-rubric.md

The rubric standardizes:

• evidence format (Finding, Evidence, Impact, Fix)
• severity (Critical, Warning, Pass, Info)
• confidence labeling
• output contract for audit reports

🤖 Specialist Agents

• Technical SEO — crawlability, indexability, security, mobile, JS rendering
• Content Quality — E-E-A-T scoring, AI content detection
• Performance — Core Web Vitals (LCP, INP, CLS) analysis
• Schema Markup — JSON-LD detection, validation, generation
• Sitemap — XML sitemap validation, quality gates
• Visual Analysis — screenshots, above-the-fold, responsiveness (Playwright)
• GitHub Analyst — metadata, topics, README, trust, title strategy
• GitHub Benchmark — query ranking and competitor intelligence
• GitHub Data — API/auth fallback and traffic archival continuity
• Verifier (Global) — dedupe/contradiction suppression before final reporting

📚 Reference Data (Updated Feb 2026)

• Core Web Vitals thresholds (INP replaced FID)
• E-E-A-T framework (Sept 2025 QRG + Dec 2025 core update)
• Schema.org types — active, restricted, deprecated
• Content quality gates & word count minimums
• Google SEO quick reference
• LLM audit rubric for consistent outputs

🏭 Industry Templates

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