swift-mlx-lm

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.

Server

Manage videos, playlists, analytics, and monetization for OTT streaming services.

developing-with-prism

Guide for developing with Prism PHP package - a Laravel package for integrating LLMs. Activate or use when working with Prism features including text generation, structured output, embeddings, image generation, audio processing, streaming, tools/function calling, or any LLM provider integration (OpenAI, Anthropic, Gemini, Mistral, Groq, XAI, DeepSeek, OpenRouter, Ollama, VoyageAI, ElevenLabs). Activate for any Prism-related development tasks.

glide-mq

Creates message queues, workers, job workflows, and fan-out broadcasts using glide-mq on Valkey/Redis Streams. Provides API reference, code patterns, and configuration for queues, workers, delayed/priority jobs, schedulers, batch processing, DAG workflows, request-reply, and serverless producers. Triggers on "glide-mq", "glidemq", "job queue valkey", "background tasks valkey", "message queue redis streams".

clack-guidelines

Comprehensive guide for building beautiful interactive command-line interfaces using Clack. Use when creating CLI tools with text input, selections, autocomplete, progress tracking, and streaming output.

A2A Streaming (SSE)

chat-sdk

Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to (1) Build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, (2) Use Chat SDK to handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, (3) Set up webhook routes or multi-adapter bots, (4) Send rich cards or streamed AI responses to chat platforms, (5) Build or maintain a custom adapter or state adapter. Triggers on "chat sdk", "chat bot", "slack bot", "teams bot", "google chat bot", "discord bot", "telegram bot", "whatsapp bot", "@chat-adapter", "@chat-adapter/state-", "custom adapter", "state adapter", "build adapter", and building bots that work across multiple chat platforms.

ax-crew

Guide for building multi-agent AI systems with ax-crew. Use when creating agent crews, configuring agents, using MCP servers, shared state, sub-agents, streaming, ACE learning, function registries, metrics/cost tracking, telemetry, or agent workflows with @amitdeshmukh/ax-crew.

hwc-navigation-content

Build Hotwire navigation and content-discovery flows: Turbo Frame pagination, tabbed navigation, lazy loading, faceted filtering/search, cache lifecycle, scroll restoration, and visit/render control. Prefer this skill when the core problem is request/response navigation state and browser history behavior. Use hwc-forms-validation for form validation and inline edit flows, hwc-realtime-streaming for WebSocket/Turbo Stream push updates, hwc-media-content for image/video/audio features, hwc-ux-feedback for generic loading/progress/transition polish, and hwc-stimulus-fundamentals for Stimulus APIs not centered on navigation.

a2a-protocol

Use this skill when working with the A2A (Agent-to-Agent) protocol - agent interoperability, multi-agent communication, agent discovery, agent cards, task lifecycle, streaming, and push notifications. Triggers on any A2A-related task including implementing A2A servers/clients, building agent cards, sending messages between agents, managing tasks, and configuring push notification webhooks.

Wisepanel

Multi-agent deliberation across Claude, Gemini, and Perplexity. Stream and publish.

building-streamlit-chat-ui

Building chat interfaces in Streamlit. Use when creating conversational UIs, chatbots, or AI assistants. Covers st.chat_message, st.chat_input, message history, and streaming responses.

atlas-stream-processing

Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.

google-adk-python

Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.

Streamdown

Streaming-optimized React Markdown renderer. Drop-in replacement for `react-markdown` with built-in streaming support, security, and interactive controls.

aiogram-mcp

MCP server for aiogram Telegram bots — 30 tools, 7 resources, 3 prompts, event streaming

castella-a2a

Connect to A2A protocol agents from Castella. Communicate with agents, display agent cards, send messages, handle responses, and stream results.

claude-agent-ruby

Implement or modify Ruby code that uses the claude-agent-sdk gem, including query() one-shot calls, Client-based interactive sessions, streaming input, option configuration, tools/permissions, hooks, SDK MCP servers, structured output, budgets, sandboxing, betas/tools presets, control-timeout handling, session resumption/rewind, session browsing (list_sessions/get_session_messages), task lifecycle messages, MCP server control (reconnect/toggle/stop), Rails integration, and error handling.

What2Watch

Real-time TV schedules, streaming availability, and personalized recommendations.

dflow

Build Solana trading applications combining DFlow trading APIs with Helius infrastructure. Covers spot swaps (imperative and declarative), prediction markets, real-time market streaming, Proof KYC, transaction submission via Sender, fee optimization, shred-level streaming via LaserStream, and wallet intelligence.

TwitterAPI.io skill v3.7.1

Access Twitter/X data and perform actions via [TwitterAPI.io](https://twitterapi.io) REST API. Use TwitterAPI.io REST API for read, write, webhook, and stream operations.

eino

Eino LLM/AI application development framework assistant (Golang). Use when the user needs to: (1) Build AI agents, (2) Create LLM applications, (3) Implement tool calling, (4) Build multi-agent systems, (5) Create workflows with Graph/Compose, (6) Implement streaming, (7) Human-in-the-loop patterns, or any other Eino framework development tasks. Triggers on phrases like "Eino 开发", "创建 Agent", "LLM 应用", "AI Agent", "Eino 框架", "构建智能体".

surf

Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.

codex-window-debug

Use this skill when you need to verify that messages and responses appear in both: - Codex.app UI - Farfield web UI and server stream data

swarm-iosm

Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose work", "Mixed/brownfield".

compositions/router-query

Integrating TanStack Router with TanStack Query: queryClient in router context, ensureQueryData/prefetchQuery in loaders, useSuspenseQuery in components, defaultPreloadStaleTime: 0, setupRouterSsrQueryIntegration for SSR dehydration/hydration and streaming, per-request QueryClient isolation.

Streamdeck Mcp

MCP server for Elgato Stream Deck control — set buttons, manage pages, wire actions

ccpm

CCPM - spec-driven project management: PRD → Epic → GitHub Issues → parallel agents → shipped code. Use this skill for anything in the software delivery lifecycle: writing a PRD ('write a PRD for X', 'let's plan X', 'scope this out'), parsing a PRD into an epic, decomposing an epic into tasks, syncing to GitHub ('sync the X epic', 'push tasks to github'), starting work on an issue ('start working on issue N', 'let's work on issue N'), analyzing parallel work streams, running standups ('standup', 'run the standup'), checking status ('what's next', 'what's blocked', 'what are we working on'), closing issues, or merging an epic. Use ccpm any time the user is talking about shipping a feature, managing work, or tracking progress — even if they don't say 'ccpm' or 'PRD'. Do NOT use for: debugging code, writing tests, reviewing PRs, or raw GitHub issue/PR operations with no delivery context.

nextjs-advanced-routing

Guide for advanced Next.js App Router patterns including Route Handlers, Parallel Routes, Intercepting Routes, Server Actions, error boundaries, draft mode, and streaming with Suspense. CRITICAL for server actions (action.ts, actions.ts files, 'use server' directive), setting cookies from client components, and form handling. Use when requirements involve server actions, form submissions, cookies, mutations, API routes, `route.ts`, parallel routes, intercepting routes, or streaming. Essential for separating server actions from client components.

Remote Terminal MCP

Complete SSH terminal for Linux with AI/user control and dual-stream visibility

rig

Build LLM-powered applications with Rig, the Rust AI framework. Use when creating agents, RAG pipelines, tool-calling workflows, structured extraction, or streaming completions. Covers all providers with a unified API.

agent-recorder-fixtures

Record real OpenAI/Anthropic HTTP back-and-forth (requests + responses, including streaming text/event-stream) and print paste-ready Swift fixtures for SwiftAgent unit tests (ReplayHTTPClient) using the AgentRecorder CLI or HTTPReplayRecorder. Use when adding/updating any provider adapter tests (text, streaming, structured outputs, tool calls), when payload formats change, or when debugging agent loop mismatches by inspecting recorded JSON/SSE payloads.

ai-elements

Install AI UI components from the Elements registry. Use when user needs chat interfaces, agentic UIs (tool calls, reasoning, plans), multi-agent dashboards, or AI devtools. Triggers on "AI component", "chat UI", "agent UI", "tool call component", "streaming text", "agentic", "multi-agent", "AI SDK", "chat input", "message bubble", "thinking indicator".

gemini-interactions-api

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.

ZulipChat MCP Server

ZulipChat MCP: Connect AI to Zulip with 60+ tools for messaging, streams, events, and analytics

getting-started

First-time setup for Durable Streams. Install @durable-streams/client, create a stream with DurableStream.create(), read with stream(), subscribe to live updates, resume from saved offsets. Covers offset semantics ("-1", "now", opaque tokens), LiveMode (false, true, "long-poll", "sse"), and StreamResponse consumption (.json(), .text(), .subscribeJson()).

signals-debugging

Interprets `@preact/signals-debug` updates and the AI-native Vite event stream to diagnose reactive UI bugs.