Skill UI

Automates ActiveCampaign CRM workflows through the Rube MCP Composio toolkit, covering contact creation, tag handling, list subscriptions, automation enrollment, and task creation after syncing current tool schemas.

A specialized tool for generating long-form content, including guides, blogs, and tutorials, that maintains a unique, human-like brand voice. It ensures structural integrity and factual accuracy, preventing the generic, boilerplate feel often associated with raw LLM output. Ideal for content teams needing sophisticated, reliable narrative development.

Analyze a website for AI search visibility across Google AI Overviews, ChatGPT search, and Perplexity. Checks citability, structure, brand signals, crawler access, and llms.txt readiness to improve generative engine optimization.

This comprehensive tool provides real-time, live SEO data directly from the DataForSEO platform. It allows users to analyze live SERPs (Google, YouTube), conduct deep keyword research (volume, difficulty, intent), monitor backlink profiles, analyze competitor domains, and perform on-page content audits. It is crucial for digital marketers and content creators who need up-to-date metrics, especially for tracking AI visibility and LLM mentions, moving beyond static best practices.

A comprehensive guide to optimizing website content for modern AI search systems, including ChatGPT, Perplexity, and Google AI Overviews. It covers structural improvements, maximizing citability scores, incorporating multi-modal elements, building brand authority, and implementing technical standards like llms.txt and proper server-side rendering (SSR). Essential for maximizing organic reach in the LLM era.

Track brand citation rates across ChatGPT, Perplexity, and other LLMs with time-series trends, prompt insights, competitor mentions, and spike/drop alerts for AI search visibility monitoring.

A specialized tool for generating long-form content, including guides, blogs, and tutorials, that maintains a unique, human-like brand voice. It ensures structural integrity and factual accuracy, preventing the generic, boilerplate feel often associated with raw LLM output. Ideal for content teams needing sophisticated, reliable narrative development.