Loading...
Loading...
Found 2,493 Skills
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
Advanced React Flow patterns for complex use cases. Use when implementing sub-flows, custom connection lines, programmatic layouts, drag-and-drop, undo/redo, or complex state synchronization.
Implement secure file upload handling with validation, virus scanning, storage management, and serving files efficiently. Use when building file upload features, managing file storage, and implementing file download systems.
Attempt to list and read files from storage buckets to verify access controls.
Firebase Firestore, Auth, Storage, real-time listeners, security rules
Retrieval-augmented generation (RAG) skill for the D&D 5e System Reference Document (SRD). Use when answering questions about D&D 5e core rules, spells, combat, equipment, conditions, monsters, and other SRD content. This skill provides agentic search-based access to the SRD split into page-range markdown files.
Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying cloudflare services, managing worker containers, configuring KV/R2 storage, or setting up DNS/routing. Requires CLOUDFLARE_API_KEY in .env and Bun runtime with dependencies installed.
Security review and guidance for iOS, macOS, and watchOS apps. Covers secure storage, biometric authentication, network security, and platform-specific patterns. Use when implementing security features or reviewing code for vulnerabilities.
Provides expertise on Chroma vector database integration for semantic search applications. Use when the user asks about vector search, embeddings, Chroma, semantic search, RAG systems, nearest neighbor search, or adding search functionality to their application.
Expert knowledge for Supabase database, RLS, and backend patternsUse when "supabase, row level security, rls, postgres, database policy, supabase storage, supabase realtime, supabase, postgres, rls, database, backend, storage, realtime" mentioned.
Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.