Skill UI

Guides building Telegram Mini Apps (TWA) with web technologies, TON blockchain, Telegram Web App API, crypto payments, TonConnect, user auth, and viral UX patterns so teams can launch games, DeFi, or monetized utilities inside Telegram.

Designs shareable generator tools that go viral by blending social psychology, generator architecture, and share optimization for quizzes, avatars, names, calculators, and personality tests.

Leverage Apify Actors to discover and track emerging trends across major digital platforms, including Google Trends, Instagram, Facebook, YouTube, and TikTok. This tool gathers comprehensive data points—from viral hashtags and trending sounds to marketplace activity—allowing users to deeply understand consumer behavior and refine their content strategy for optimal market reach.

A comprehensive toolkit for reconstructing and analyzing the evolutionary history of biological sequences (genes, proteins, genomes). The standard workflow includes multiple sequence alignment using MAFFT, robust maximum likelihood tree inference with IQ-TREE 2 and FastTree, and advanced visualization/manipulation using ETE3. This skill is essential for studies in viral phylodynamics, microbial genomics, protein family evolution, and molecular clock dating.

A comprehensive toolkit for accelerating digital product growth. It covers essential strategies including growth hacking, SEO/ASO optimization, building viral loops, email marketing funnels, CRM implementation, and analyzing the entire customer acquisition lifecycle using AARRR metrics. Ideal for product managers and marketers aiming for exponential business expansion.

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.

Provides an X/Twitter-focused growth engine that audits profiles, researches competitors, engineers viral tweets and threads, and decodes algorithm signals so creators can plan posting strategies and maximize engagement.

This skill guides the entire video content lifecycle, from initial strategy development to multi-platform distribution. Use it to define YouTube channel positioning, write viral short-form scripts (Reels, TikTok), or systematically repurpose long-form assets like podcasts and blogs into comprehensive video pipelines for maximum reach and authority building.

gget is a command-line and Python package providing unified access to over 20 genomic databases and analysis methods. It supports querying gene information, sequence analysis, protein structures, viral sequences, expression data, and disease associations. Suitable for interactive exploration and simple queries, offering both CLI and Python function interfaces for bioinformatics workflows.

This skill enables the construction and analysis of phylogenetic trees using tools like MAFFT for alignment, IQ-TREE 2 for maximum likelihood inference, and FastTree for large datasets. It supports evolutionary analysis, microbial genomics, viral phylodynamics, and molecular clock studies. Visualization is handled via ETE3 or FigTree. Ideal for inferring evolutionary relationships, detecting horizontal gene transfer, and reconstructing ancestral sequences in biological research.

A comprehensive checklist designed to harden Linktree API integrations for high-concurrency, production-grade reliability. It covers critical aspects including secure secrets management, rate limit handling, robust error resilience (circuit breakers, exponential backoff), comprehensive monitoring setup, and advanced security practices like webhook signature verification. Use this guide to ensure link-in-bio analytics remain accurate and system uptime is maximized under viral traffic loads.

Provides expert guidance on building, optimizing, and analyzing growth-driving programs. This skill covers the fundamental differences between customer referral schemes and paid affiliate models. Learn to identify key trigger moments, structure compelling incentive mechanisms (single/double-sided), and calculate optimal reward sizes to maximize viral loops and scale customer acquisition for sustained business growth.