Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection provides a structured set of capabilities for automating marketing workflows, from conversion rate optimization and SEO audits to programmatic content strategy. It enables agents to handle specific growth tasks like schema markup, churn prevention, and the design of referral programs.
The toolkit includes dedicated connectors for Google Ads, Search Console, Meta, and X, allowing agents to integrate live data into copywriting and ad creative processes.
WHO IT'S FOR
Growth Marketers
optimizing conversion rates and A/B testing
SaaS Marketing Teams
scaling user acquisition and retention
Content Strategists
refining marketing copy and messaging
AI Automation Builders
deploying marketing capabilities to OpenClaw agents
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Manually clone and copy the complete skill collection
Installs: Complete repository skill collection copied into the user's shared agent-skills directory. · OpenClaw
In a terminal, clone the repository and then copy every skill folder into the shared agent-skills directory. Run both lines together from a directory where the new openclaw-marketing-skills directory can be created.
A product codebase containing whatever README, marketing copy, package metadata, and documentation are available
Corrections and missing product information after reviewing the draft
Use the product-marketing-context skill to draft a V1 product marketing context from this codebase. Review the README, landing-page or marketing copy, package metadata, and relevant documentation; summarize the product, target audience, positioning, value proposition, pricing, competitors, voice, and customer language. Show me the draft and ask what needs correcting or is missing before finalizing `.agents/product-marketing-context.md`.
Product and target-audience information, unless already available in `.agents/product-marketing-context.md`
Current stage and main growth goal
Marketing budget and team size
What has already been tried
Use the marketing-ideas skill to recommend 3–5 marketing ideas for my software product. For each, explain why it fits, the first 2–3 implementation steps, what success would look like, and the time, budget, and skills required. Use `.agents/product-marketing-context.md` if it exists; otherwise ask only for the missing product, audience, stage, goal, budget, and team-size details.
The page URL, source, or visible page content to assess
The site's technology stack
Any existing schema markup
The desired rich-result type, if known
Real values for required schema properties
Use the schema-markup skill to assess one page and draft accurate JSON-LD for it without deploying anything. Identify the page type and suitable rich-result target, inspect any existing schema I provide, include only data visible on the page, and finish with a validation checklist. Ask for any required property that is missing instead of inventing it.
Claude
Gemini CLI
OpenClaw
Copilot