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Marketing Skills for AI Agents

github.com/coreyhaines31/marketingskills
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Category
AI Agents
Rank
Pricing
Open Source
Type
TOOL
Use case
Business & Commerce
Interfaces
Agent Skill / Plugin
Latest release
v2.11.1
Date

About

A collection of specialized marketing skills for AI coding agents, covering CRO, copywriting, SEO, analytics, and growth engineering. Built for technical marketers and founders who want AI agents to help with marketing tasks using structured markdown skills that provide frameworks and best practices.

What it does

It gives an agent a shared product brief, then routes marketing requests into focused playbooks. Those playbooks reference related disciplines, so research can inform copy, conversion work can feed experiments, and sales tasks can share context. Optional command-line adapters connect selected workflows to external marketing services.

Why it's ranked here

The strongest idea is coordination, not sheer topic count. A common product context reduces disconnected advice, while explicit links between disciplines encourage coherent campaigns. The included service adapters also move some work beyond recommendations into execution. However, the supplied material demonstrates breadth more clearly than the depth or validation of each playbook.

What's good

The dependency model teaches agents to establish audience, positioning, and product facts before producing tactics. Cross-references encode useful handoffs among research, copy, conversion work, experiments, SEO, and sales. The command-line adapters use consistent JSON output, validate many required inputs, read credentials from environment variables, and commonly provide dry-run previews with secrets masked.

Tradeoffs

Most value still depends on the host agent interpreting markdown instructions well. External actions require separate vendor accounts and credentials. The adapters repeat argument parsing and request handling instead of sharing a common runtime. Several wrappers return parsed response bodies without treating unsuccessful HTTP status codes as failures, so automation must inspect results carefully.

How to use it well

It suits technical marketers and founders already working inside a compatible coding agent. Start by recording product, audience, and positioning context, then invoke one focused playbook and follow its related handoffs. Use dry runs before external mutations. It does not replace vendor access, campaign approval, customer evidence, or independent measurement of results.

Technical notes+

README.md defines the shared-context dependency model and lists compatibility with Claude Code, OpenAI Codex, Cursor, Windsurf, and Agent Skills spec hosts. The supplied adapters under tools/clis/ are executable Node.js scripts with hand-written argument parsing, environment-variable authentication, fetch-based HTTP requests, and JSON stdout. tools/clis/dub.js, tools/clis/ga4.js, tools/clis/kit.js, tools/clis/clay.js, tools/clis/brevo.js, tools/clis/close.js, tools/clis/demio.js, tools/clis/airops.js, and tools/clis/apollo.js expose mutating operations. tools/clis/exa.js, tools/clis/g2.js, tools/clis/pendo.js, and tools/clis/ahrefs.js emphasize search, reporting, or retrieval. Dry-run branches mask credentials, but the wrappers generally parse response text without checking res.ok.

Observed

Primary formats
Markdown agent skills with JavaScript command-line adapters.
Agent interface
Compatible with Claude Code, OpenAI Codex, Cursor, Windsurf, and Agent Skills spec hosts.
Execution interface
Executable Node.js command-line scripts call external vendor APIs and print JSON.
Authentication
Vendor credentials are supplied through environment variables.
Safety surface
Many adapters provide a dry-run option that previews requests and masks credentials.
Architecture
A shared product context feeds specialized skills, which explicitly cross-reference related marketing disciplines.

Read from README.md, tools/clis/g2.js, tools/clis/dub.js, tools/clis/exa.js, tools/clis/ga4.js, tools/clis/kit.js, tools/clis/clay.js, tools/clis/brevo.js, tools/clis/close.js, tools/clis/demio.js, tools/clis/pendo.js, tools/clis/ahrefs.js, tools/clis/airops.js, tools/clis/apollo.js.

What it can do

  • Optimize conversion rates for websites and landing pages

    Website or landing page data and conversion metrics → CRO recommendations and optimization strategies

  • Generate marketing copy and content

    Product information and target audience details → Marketing copy, headlines, and content variations

  • Analyze and optimize SEO performance

    Website content and SEO requirements → SEO optimization recommendations and keyword strategies

  • Process and analyze marketing analytics data

    Marketing performance data and metrics → Analytics insights and performance reports

  • Execute growth engineering strategies

    Product and user data → Growth tactics and engineering solutions for user acquisition

  • Create structured marketing workflows for AI agents

    Marketing requirements and business context → Markdown-formatted marketing skills and frameworks

Tags

aiai-agentsanalyticsclaudeconversioncopywritingcrogrowthmarketingseoskills

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