Skill UI

This skill guides the process of auditing and correcting critical HTML metadata elements, ensuring optimal performance for search engines and social media sharing. It covers page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use this when implementing or refining SEO metadata, fixing broken social previews, or setting up structured data.

This framework provides a systematic methodology for engineering virality, moving beyond luck to design shareable products, ideas, and content. It utilizes the STEPPS model (Social Currency, Triggers, Emotion, Public, Practical Value, Stories) to systematically increase the likelihood of organic sharing and word-of-mouth marketing. Use it when optimizing for shareability or predicting user adoption patterns.

This skill generates multiple optimized variants for title tags, meta descriptions, and social media sharing tags (OG/Twitter). It provides three distinct styles (Benefit Lead, Question Hook, Social Proof) for each type, allowing users to A/B test copy to maximize click-through rate (CTR). Ideal for refining landing pages, blog posts, or any content requiring robust search engine optimization (SEO) and social media presence.

This skill provides comprehensive integration with the Hootsuite API, allowing users to perform deep social media analytics and optimize content sharing. Key functions include retrieving organization analytics, monitoring message performance, tracking social profile metrics, and utilizing Ow.ly for efficient batch URL shortening. It is essential for marketing professionals needing to measure campaign ROI and manage large volumes of content links.

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.

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.

A comprehensive framework designed to help content creators and marketers plan, structure, and write highly shareable, high-reach social media content. It teaches the psychology behind sharing, provides proven hook formulas (e.g., contrarian statements, specific numbers), and builds a repeatable system to maximize engagement and organic reach across platforms like LinkedIn, TikTok, and Instagram.

A professional and versatile card template optimized for sharing quotes, insights, or data points on social media like Twitter/X. Designed with a 16:9 aspect ratio, it features a central hero quote, author details, and subtle background textures (grid/noise). It ensures high visual impact and professional presentation, helping your content stand out in a crowded feed.

This tool generates hyper-realistic X (Twitter) post cards, accurately simulating the platform's UI, including user profiles, content, and dynamic interaction metrics (likes, reposts, views). It is ideal for content creators and marketers needing high-fidelity social media assets for video overlays, knowledge card sharing, or professional promotional materials.

A comprehensive guide to adhering to ASA/ASR data-sharing and transparency standards for social science research. It helps users prepare thorough documentation, define data provenance (codebooks, scripts), manage confidentiality constraints (IRB, proprietary data), and ethically prepare materials for academic publication. Use this when structuring a manuscript's data section or anticipating reviewer questions about data verification.

This comprehensive skill guides researchers through the critical ethical framework for anthropological and social science manuscripts. It emphasizes 'do no harm,' continuous informed consent, community accountability, and proper handling of sensitive data, cultural heritage, and human remains. It ensures that all data sharing and knowledge reuse plans prioritize the rights, privacy, and well-being of interlocutors above academic publication needs.

A comprehensive guide for preparing the data, code, and materials transparency posture when submitting a manuscript to Social Psychology Quarterly (SPQ). It clarifies the journal's guidelines (encouraged, not required) regarding data sharing, covering both quantitative and qualitative research methods while strictly adhering to ethical considerations and ASA norms.