Loading...
Loading...
Found 398 Skills
Clone a ready-to-run Deepgram demo app and start building on top of it. Use whenever someone wants a quick working demo, needs to prototype with Deepgram, or is starting a new project that uses speech-to-text, text-to-speech, voice agents, audio intelligence, or live streaming. Match the user's language, framework, and desired Deepgram feature to the right starter.
Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/TumblingWindow, materialize_features, streaming Kafka features). NOT for: endpoint ops (databricks-model-serving), MLflow evaluation (databricks-mlflow-evaluation).
Evaluates Next.js routes and outputs optimal revalidate settings, cache tags for ISR, SSR configurations, or streaming patterns. This skill should be used when optimizing Next.js caching strategies, configuring Incremental Static Regeneration, planning cache invalidation, or choosing between SSR/ISR/SSG. Use for Next.js caching, revalidation, ISR, cache tags, on-demand revalidation, or rendering strategies.
Implements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies (compression, responsive images, lazy loading, CDN). Use when handling files, displaying media, or building rich content experiences.
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: "real-time pipeline", "Kafka consumer", "streaming vs batch", "low latency ingestion". Do NOT use for batch integration patterns (use integration-patterns-skill) or pipeline orchestration (use data-orchestration-skill).
Build with Hyperstack, real-time Solana data streaming. Covers consuming existing streams and building custom stacks. Use when the user mentions Hyperstack, real-time Solana data, on-chain streaming, ORE mining, or wants to consume/build data stacks.
Advanced type-safe RPC patterns for Electrobun desktop applications. Covers bidirectional main↔webview communication, type safety with TypeScript, error handling and validation, performance optimization, streaming data patterns, batch operations, retry strategies, event-based communication, shared type definitions, RPC middleware, request/response patterns, and complex data synchronization. Use this skill when implementing complex communication between main and webview processes, need type-safe RPC with full IntelliSense, handling large data transfers, implementing real-time updates, building type-safe APIs between processes, debugging RPC issues, optimizing RPC performance, or implementing advanced patterns like streaming, batching, or pub/sub. Triggers include "RPC", "main webview communication", "type-safe RPC", "bidirectional RPC", "RPC performance", "RPC error handling", "shared types", "process communication", or "IPC patterns".
Architects Blazor apps. Hosting models, render modes, routing, streaming, prerender.
Video marketing strategist covering short-form video (TikTok, Reels, YouTube Shorts), long-form video (YouTube), live streaming, video ads, and video content strategy. Use when the user wants to create video content, plan a YouTube channel, write video scripts, optimize video for algorithms, plan Reels or TikTok content, set up live streaming, create video ad scripts, or develop any video marketing strategy. Also triggers for video SEO, thumbnail optimization, video hooks, video editing guidelines, or video production workflow.
Use this skill when working with World Partition, level streaming, level travel, OpenLevel, ServerTravel, data layer, world subsystem, level instance, sub-level, seamless travel, open world, or HLOD. See references/streaming-patterns.md for configuration patterns by game type.
React Suspense for data fetching, code splitting, and async operations. Covers Suspense boundaries, lazy loading, streaming SSR, Error Boundaries, suspense-enabled data libraries, and progressive loading patterns. USE WHEN: user mentions "Suspense", "lazy loading", "React.lazy", "code splitting", "streaming SSR", "loading states", asks about "async components", "fallback UI" DO NOT USE FOR: React 17 and earlier (limited Suspense support), Class components, Non-React frameworks