Total 50,634 skills, AI & Machine Learning has 8486 skills
Showing 12 of 8486 skills
AI image generation with Google Gemini via MCP - smart model selection, 4K output, aspect ratios, and templates
在 AntiGravity 連接 NotebookLM MCP。說「連接 NotebookLM」「設定 NotebookLM」時載入。
Orchestrates group discussions between installed BMAD agents, enabling natural multi-agent conversations where each agent is a real subagent with independent thinking. Use when user requests party mode, wants multiple agent perspectives, group discussion, roundtable, or multi-agent conversation about their project.
Use OpenAI Codex from inside Claude Code for code reviews and delegated background tasks.
Summarizes very long texts (books, handbooks, biographies, codebases) using hierarchical multi-pass extraction with cheap model armies. Produces structured knowledge maps, not just summaries. Use when processing 50+ page documents, professional handbooks, career biographies, or any text too large for a single context window. Activate on "summarize book", "summarize handbook", "long document", "extract knowledge", "distill text", "professional biography". NOT for short text summarization (<10 pages), real-time chat summarization, or code documentation (use technical-writer).
Publish and deploy C# MCP servers. Covers NuGet packaging for stdio servers, Docker containerization for HTTP servers, Azure Container Apps and App Service deployment, and publishing to the official MCP Registry. USE FOR: packaging stdio MCP servers as NuGet tools, creating Dockerfiles for HTTP MCP servers, deploying to Azure Container Apps or App Service, publishing to the MCP Registry at registry.modelcontextprotocol.io, configuring server.json for MCP package metadata, setting up CI/CD for MCP server publishing. DO NOT USE FOR: publishing general NuGet libraries (not MCP-specific), general Docker guidance unrelated to MCP, creating new servers (use mcp-csharp-create), debugging (use mcp-csharp-debug), writing tests (use mcp-csharp-test).
Implement features from a validated RootSpec specification — test-driven and autonomous. Use this when a user wants to build, code, or implement features from their spec, or when they want to make failing tests pass.
Deep dive into Claude Code source code to learn production-grade AI agent architecture patterns
Query AI Engineer Europe 2026 conference data — speakers, talks, schedule, and more. Use when building apps, AI integrations, or tools on top of conference data. Provides REST endpoints (JSON + plain text), an MCP server for agent tool calls, and a CLI. Covers 150+ talks, 150+ speakers, workshops, and the full 3-day schedule.
[QwenCloud] Synthesize speech from text with Qwen TTS models. TRIGGER when: user wants to convert text to speech, create voiceovers, generate audio narration, read text aloud, build TTS applications, mentions speech synthesis/voice generation/audio output from text, or explicitly invokes this skill by name (e.g. use qwencloud-audio-tts). DO NOT TRIGGER when: user wants speech recognition/ASR, text generation without audio, non-Qwen audio tasks.
Agent skill for quorum-manager - invoke with $agent-quorum-manager
Agent skill for worker-specialist - invoke with $agent-worker-specialist