Total 50,527 skills, AI & Machine Learning has 8482 skills
Showing 12 of 8482 skills
fal.ai AI image generation. Use this skill when you need to use fal, fal.ai, or generate images from text prompts using AI text-to-image models.
Enables Claude to interact with Gemini AI chat for quick queries, brainstorming, and alternative AI perspectives
Track Duolingo language learning progress and maintain streaks
Enables Claude to manage YouTube subscriptions, playlists, and viewing experience through browser automation
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Build text-to-speech applications using Qwen3-TTS, a powerful speech generation system supporting voice clone, voice design, and custom voice synthesis. Use when creating TTS applications, generating speech from text, cloning voices from audio samples, designing new voices via natural language descriptions, or fine-tuning TTS models. Supports 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian).
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
AI-powered X/Twitter research via xAI Grok. Returns AI SUMMARIES with analysis, not raw tweets. Use for "what's trending", "social sentiment", "summarize X discussion about", "analyze X conversation about", "research topic on X". For RAW tweet data, use x-user-timeline, x-tweet-search, x-tweet-fetch instead. Requires XAI_API_KEY.
This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy optimizer", "joint instruction tuning", or needs maximum performance from a DSPy program with substantial training data (200+ examples).
Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks. Identifies pathogen taxonomy, essential proteins, predicts structures, and screens existing drugs via docking. Use when facing novel pathogens, emerging infections, or needing rapid therapeutic options during outbreaks.
Unified issue resolution pipeline with source selection. Plan issues via AI exploration, convert from artifacts, import from brainstorm sessions, form execution queues, or export solutions to task JSON. Triggers on "issue:plan", "issue:queue", "issue:convert-to-plan", "issue:from-brainstorm", "export-to-tasks", "resolve issue", "plan issue", "queue issues", "convert plan to issue".
Automate Google NotebookLM - create notebooks, add sources, generate podcasts/videos/quizzes, download artifacts. Activates on explicit /notebooklm or intent like "create a podcast about X"