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Found 1,704 Skills
State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. Provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. The industry standard for Large Language Models (LLMs) and foundation models in science.
Edit, transform, extend, upscale, and enhance videos using EachLabs AI models. Supports lip sync, video translation, subtitle generation, audio merging, style transfer, and video extension. Use when the user wants to edit or transform existing video content.
AI content generation suite with 35+ models. Image generation, video creation, audio processing via FAL AI, Google Vertex AI, ElevenLabs. Pipeline orchestration and cost management.
Architectural refactoring guide for Rust applications covering type safety, ownership patterns, error handling strategies, API design, project organization, module structure, naming conventions, conversion traits, and idiomatic patterns. Use when refactoring Rust codebases, reviewing PRs for architectural issues, improving type safety, designing error handling strategies, or organizing project structure. Complements the rust-optimise skill (performance patterns). Does NOT cover performance optimization, memory allocation, or async concurrency tuning (see rust-optimise skill).
This skill should be used when the user asks to "configure esp32-s3-box-3", "set up box-3", "create box-3 voice assistant", "display lambda on box-3", "configure ili9xxx display", "set up gt911 touch", "configure i2s audio", "es7210 microphone", "es8311 speaker", "box-3 audio pipeline", or mentions error messages like "I2S DMA buffer error", "Touch not responding", "Display flicker", "Audio popping", "PSRAM not detected". Provides complete ESP32-S3-BOX-3 hardware templates, display lambda cookbook, touch patterns, and voice assistant configurations.
Ruby programming patterns and idioms
Local text-to-speech on Ubuntu using Kokoro TTS with fallbacks. Use when the user asks to speak text out loud, test audio output, switch Kokoro voices, or debug TTS playback issues. Triggers on "say this", "read aloud", "speak", "TTS", "voice test".
Text-to-speech conversion using GLM-TTS service via the `uvx zai-tts` command for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, podcast, driving, cooking). (3) Using pre-cloned voices for speech.
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
Generate voice messages using local Qwen3-TTS (offline, Apple Silicon). Convert text to speech with customizable voices, emotions, and speed. Use when user asks for voice reply, audio, or TTS.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
CLI-based image generation from text prompts using Google Gemini APIs via Python. Use when user needs "generate image", "create image with AI", "gemini image", "text to image", "create sprite", or "generate character art". Supports model selection, batch generation, watermark removal, and background transparency. Do NOT use for web app image features (use nano-banana-builder), video/audio generation, or non-Gemini models.