schema-markup
Structured data implementation for rich results and AI search visibility
Structured data implementation for rich results and AI search visibility
npx skills add https://github.com/coreyhaines31/marketingskills/tree/main/skills/schema-markupStructured data implementation for rich results and AI search visibility
This repo contains 20 individual skills — each has its own dedicated page.
Visual and copy briefs for performance creative
Optimize content for AI Overviews, Perplexity, and answer engine visibility
Event tracking plans, GA4 setup, and attribution frameworks
Retention messaging, cancellation flows, and win-back sequences
Outbound email with personalization frameworks and deliverability guidance
Positioning and messaging for competitive comparison and alternative pages
Topic planning, content calendars, and editorial frameworks
Persuasive copy across formats: headlines, landing pages, email, and ads
Multi-touch email sequences with coherent arc, personalization, and timing
Go-to-market planning, channel sequencing, and launch execution
Design and write lead magnets matched to audience intent
Behavioral principles applied to messaging, design decisions, and conversion flows
Conversion rate analysis and optimization for landing and product pages
Ad copy and creative briefs for Google, Meta, and LinkedIn campaigns
Optimize paywall and upgrade flows for conversion
Intent-based popup design and copy that converts without degrading UX
Pricing page structure, plan naming, anchoring, and conversion optimization
Large-scale SEO content programs built for consistent quality at volume
Technical and on-page SEO audit with prioritized action plan
Platform-native content for LinkedIn, X, and Instagram
MCP toolkit for validating, packaging, and maintaining documentation workflows with Codex-friendly checks.
💬 Engage in continuous chat while dynamically building a JSONL playbook, enhancing insights and strategies with each interaction.
Generate AI-driven images by directing Claude to create optimized prompts for Google’s Gemini Nano Banana models with domain expertise.
agent-toolkit fork: every skill runs in a forked context with a per-skill model (SKILL.md context: fork + model:)
Feature specification skill for coding agents. Clarify what to build before writing code.
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