marketingskills-ai-agents

What This Skill Does

The marketingskills-ai-agents skill collection provides a comprehensive library of 33 structured, markdown-based instructions that transform AI agents like Claude Code, Cursor, and Windsurf into specialized marketing consultants. By installing these skills, you enable your agent to understand complex marketing frameworks such as AIDA (Attention, Interest, Desire, Action), PAS (Problem, Agitation, Solution), and Jobs-to-be-Done (JTBD). The system is built on a modular, decentralized architecture where every skill refers back to a central 'product-marketing-context' file, ensuring that the AI maintains consistency regarding your brand voice, ICP (Ideal Customer Profile), and value proposition across all marketing tasks.

Installation

The recommended installation method is via the CLI using the following command: clawhub install openclaw/skills/skills/adisinghstudent/marketingskills-ai-agents

For Claude Code specifically, you can also use: /plugin marketplace add coreyhaines31/marketingskills

Alternatively, you can manually clone the git repository into your project's .agents/skills/ directory to manage versioning through git submodules.

Use Cases

• Conversion Rate Optimization (CRO): Run automated audits on landing page copy and layout based on behavioral design principles.
• Content Marketing: Generate SEO-optimized blog posts, ad creative, or email drip sequences that align perfectly with your established brand voice.
• Growth Engineering: Set up A/B testing frameworks and define metrics for feature releases.
• Product Positioning: Automatically generate marketing assets based on the deep-dive research stored in your context file.

Example Prompts

1. "I need to update my product marketing context; please interview me about our new pricing tiers and target demographic so we can update the context.md file."
2. "Use the SEO-audit skill to analyze my current landing page code and suggest improvements to increase organic search ranking."
3. "Draft a high-conversion email sequence for our product onboarding using the PAS framework, ensuring it matches the tone defined in our context file."

Tips & Limitations

• Foundation First: Always execute the 'product-marketing-context' setup first. If this file is empty or poorly defined, your AI agent's output will lose focus and consistency.
• Review Output: While these agents are highly capable, treat them as junior copywriters. Always manually review long-form content before publishing.
• Agent Compatibility: Ensure your AI agent environment has file-read permissions for the .agents/ directory to ensure the agent can access your contextual data.