Skill UI

Perform a comprehensive, deep-dive audit on a single URL, covering all critical aspects of Search Engine Optimization. Analysis includes on-page elements (title, headings, meta tags), content quality (readability, E-E-A-T), technical structure (schema, canonical, OG tags), image optimization, and core web vitals potential issues. Ideal for SEO audits and content quality checks.

A comprehensive toolkit designed to automate virtually all interactions with the Twitter/X platform via Rube MCP. It supports creating, managing, and deleting posts; performing advanced searches across recent or full archives; looking up user profiles by ID or username; managing bookmarks and lists; and interacting with content (liking/unliking). Essential for integrating social media management into automated workflows.

This internal agent skill processes raw X/Twitter posts into structured bug candidates. It systematically performs parsing, content deduplication, PII redaction, reliability scoring, and classification. Finally, it clusters related reports using deterministic signatures, providing a highly organized output for efficient bug triage and analysis from large-scale social media streams.

This guide demonstrates core functionalities for integrating with Hootsuite using its REST API. It provides complete examples on how to list connected social profiles, schedule posts across multiple networks (Twitter, Facebook, etc.), and retrieve pending messages. It is ideal for developers starting a new social media automation tool or needing to test basic API posting patterns.

This skill provides a seamless workflow for publishing content stored in Obsidian notes to X (Twitter). It intelligently handles both short-form posts (text, images, videos) and rich, long-form articles (X Articles) derived from Markdown. By utilizing a real Chrome browser, it ensures compatibility and bypasses anti-bot detection mechanisms, making it ideal for content creators and knowledge workers who need to automate their social media sharing process from their local knowledge base.

TweetClaw provides comprehensive automation capabilities for X/Twitter using the Xquik REST API. It allows users to perform full read and write operations—including posting, replying, liking, following, and sending DMs. Key features include advanced tweet searching, bulk data scraping (23 tools), account monitoring, running structured giveaways, and composing algorithm-optimized content. Ideal for social media managers, digital marketers, and data analysts needing deep platform insights.

This skill ingests public complaints from X/Twitter, automatically detecting, classifying, and clustering reported bugs. It cross-references symptoms with repository evidence (commits, deploys) and assigns ownership using defined routing rules. It is essential for product teams needing to monitor product health and gather early bug signals from social media channels.

This skill enables developers to integrate X (Twitter) data extraction into applications and AI workflows. It supports SDKs, REST APIs, Apify Actors, and MCP tools for searching tweets, exporting followers, and automating account actions with secure webhooks.

This skill acts as a central orchestrator for comprehensive SEO optimization across various digital platforms (GitHub, LinkedIn, CV, X/Twitter). Use it when your request is broad, ambiguous, spans multiple surfaces, or requires developing an overall digital presence strategy. It intelligently routes tasks to the correct module while managing context and ensuring a coherent cross-platform workflow.

Expert performance marketer skill for creating, optimizing, and scaling paid advertising campaigns across platforms like Google Ads, Meta, LinkedIn, and Twitter. Covers strategy, audience targeting, bidding, budgeting, and operational decisions including kill/scale rules. Includes playbooks for B2B, ABM, and platform-specific audits to drive efficient customer acquisition and ROI.

This advanced research skill synthesizes the current conversation and emerging trends of any topic across multiple sources, including Reddit, Hacker News, the open web, and X/Twitter. By defining the topic specificity, required analysis angle (e.g., trend, sentiment, problems), and time window, users receive a comprehensive briefing complete with citations and cross-platform pattern analysis. Ideal for competitor research, trend discovery, and audience sentiment analysis.

This skill helps developers fix social sharing previews, ensuring that URLs render as rich, consistent cards across major platforms like Facebook, LinkedIn, X/Twitter, and WhatsApp. It provides standardized implementation for Open Graph (OG) tags and Twitter cards, crucial for improving SEO and discoverability.