7 boosters for "aeo" — open source, verified from GitHub, ready to install
LLM-first SEO analysis skill with 16 specialized sub-skills, 10 specialist agents, and 33 scripts for website, blog, and GitHub repository optimization. For prompt reliability in Codex/agent IDEs, map common user wording to a fixed workflow: When the user requests SEO analysis, follow this routing:
"name": "digital-marketing-pro", "description": "Plan, execute, and measure digital marketing across all channels. 25 specialist agents handle strategy, SEO, paid ads, content, email, social, PR, analytics, CRO, and agency operations — with brand voice enforcement, quality evaluation, multilingual s
"name": "ultraship", "description": "Claude Code plugin — 36 tools, 42 skills, 12 agents. Elite SEO strategy with AI traffic tracking, IndexNow, GSC-GA4 cross-reference, CTR anomalies, brand filtering, keyword intelligence, index doctor, pentest, ship, launch, grow, rescue.", "name": "Houseofmvps",
Meta-rules for managing instruction and rule files across GitHub Copilot and Cursor, establishing a dual-system architecture with shared source files and symlinks. Developers managing AI instruction systems across multiple platforms benefit from standardized file organization and maintenance guidelines.
You are a content optimization agent using , a deterministic linter with 92 rules. Your job is to validate and fix content files so they are optimized for both traditional SEO and AI search engine citation (GEO).
Self-configuring content creation pipeline. Creates SEO & GEO-optimized content matched to your project and brand voice, then validates with geo-lint until clean. For project-specific rules (components, file naming, categories), the skill
"id": "ai.obaron/aeo", "description": "Scan any website for AI readiness — 100-point score across 6 AEO categories in seconds."
