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Found 179 Skills
Display badges with ShadBadge; primary, secondary, destructive, outline variants. Use when showing tags, status labels, or count indicators in a Flutter shadcn_ui app.
Build AI agents for real-time financial options analysis with LangGraph, ChromaDB RAG, and Polygon.io data
Maps interaction structure and flow — produces breadboard notation with edge cases, failure paths, and open decisions
Administer MySQL/MariaDB databases. Configure replication and optimize performance. Use when managing MySQL deployments.
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"
Kinetica SQL query knowledge. Activate when the user is writing analytical queries for Kinetica, asking about Kinetica-specific functions, or working with geospatial, time-series, graph, or vector data.
Exactly-once processing semantics with distributed coordination for file-based data pipelines. Atomic file claiming, status tracking, and automatic retry with in-memory fallback.
Implement robust background job processing with dead letter queues, retries, and state machines. Use when building async workflows, scheduled tasks, or any work that shouldn't block the request/response cycle.
Production email service with templates, queuing, and delivery tracking. Supports transactional emails, marketing campaigns, and webhooks.
Progressive Web App setup with manifest, mobile meta tags, safe area handling for notched devices, and install prompts for app-like browser experience.
Daily compression of time-series data with merge logic for multiple pipeline runs, structured aggregation for dashboards, and storage estimation for capacity planning.
Implement multi-layer caching with Redis, in-memory, and HTTP caching. Covers cache invalidation, stampede prevention, and cache-aside patterns.