Catalog
All AI skills
27 skills. Every one is readable here; downloads and live use need a subscription.
azure-eventhub-java
Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.
azure-eventhub-py
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.
azure-eventhub-rust
Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
azure-eventhub-ts
High-throughput event streaming and real-time data ingestion.
copilot-sdk
Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
data-engineering-data-pipeline
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
gemini-api-integration
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
gemini-interactions-api
Build with the Gemini Interactions API for text, chat, multimodal generation, streaming, managed or background agents, function calling, structured output, and generateContent migrations.
gemini-live-api-dev
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API.
grpc-golang
Build production-ready gRPC services in Go with mTLS, streaming, and observability. Use when designing Protobuf contracts with Buf or implementing secure service-to-service transport.
hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
m365-agents-py
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
markstream-angular
Integrate the alpha markstream-angular renderer into Angular 20+ applications with standalone components, signals, safe HTML defaults, and optional peer features.
markstream-install
Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, Next.js, and Vue 2 applications.
markstream-migration
Audit and migrate an existing Markdown renderer to Markstream while preserving custom renderers, security policy, streaming behavior, and explicit parity gaps.
markstream-nuxt
Integrate markstream-vue into Nuxt 3 or 4 with SSR-safe client boundaries, renderer modes, explicit CSS, and browser-only optional peers.
markstream-react
Integrate the beta markstream-react renderer into React 18+ or Next.js with correct client/server entrypoints, CSS, streaming state, and component overrides.
markstream-svelte
Integrate the beta markstream-svelte renderer into Svelte 5 or SvelteKit with runes, explicit CSS, smooth streaming, workers, and SSR-safe boundaries.
markstream-vue
Integrate markstream-vue into plain Vue 3 with renderer modes, code and DOM choices, streaming state, virtualization, optional peers, and scoped components.
markstream-vue2
Integrate markstream-vue2 into Vue 2.6 or 2.7 with correct Composition API decisions, CSS, streaming state, optional peers, and scoped overrides.
markstream-vue2-vite
Integrate markstream-vue2 into Vue 2 plus Vite with bundled worker imports, CSS ordering, Composition API compatibility, and safe streaming defaults.
molykit
CRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLM
vercel-ai-sdk-expert
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.
videodb
Video and audio perception, indexing, and editing. Ingest files/URLs/live streams, build visual/spoken indexes, search with timestamps, edit timelines, add overlays/subtitles, generate media, and create real-time alerts.
videodb-skills
Upload, stream, search, edit, transcribe, and generate AI video and audio using the VideoDB SDK.
voice-ai-engine-development
Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support