email-integration
Transactional emails, templates, and email service integration
Browse published AI skills maintained by Smarter-Poker. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
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Transactional emails, templates, and email service integration
Short-form video content like TikTok/Reels and ephemeral stories
Generate PDFs from HTML, reports, invoices, and documents
Game sounds, notifications, ambient audio, and music
Handle image/video uploads, optimization, and Supabase storage
Create and run Supabase database migrations with proper RLS policies
Authoritative registry of verified source URLs for all 40 poker tournament brands. Use this skill when scraping tournament data.
Poker hand ranking, comparison, and equity calculations
Manage the 100 AI poker horses for content and gameplay
Implement the XP progression and diamond reward systems
Payment processing, subscriptions, and checkout integration
Real-time messaging, DMs, and group chats
Invite friends, referral tracking, and reward distribution
MANDATORY skill that enforces strict data integrity - NO simulated, fake, or extrapolated data allowed. Only verified scraped data from confirmed sources.
Automated scraping of poker tournament schedules from major tour websites
Continuous integration and deployment with GitHub Actions
Web performance analysis, Core Web Vitals, and optimization
Settings management, preferences, and account configuration
Containerization, orchestration, and deployment with Docker and K8s
Deploy to production with Vercel and manage environment
Modern React patterns, hooks, and state management for the poker platform
Implement 3D elements and effects using Three.js and React Three Fiber
Build and manage the 100-game poker training RPG with 3-engine architecture (PIO, CHART, SCENARIO)
Implement fluid animations for poker gameplay and UI interactions
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.