Total 56,862 skills, AI & Machine Learning has 9456 skills
Showing 12 of 9456 skills
Add, update, or remove text/image/video models. Handles any provider.
Document Q&A with RAG using Supabase pgvector store.
Use this skill to create podcast episodes, interviews, dialogues, and conversation-style audio. Triggers: "create podcast", "podcast episode", "interview audio", "dialogue", "conversation", "two hosts discussing", "audio show", "radio show", "audio drama" Orchestrates: script generation, multi-speaker TTS, intro/outro music, and audio assembly.
Use this skill to create complete videos with voiceover and music. Triggers: "create video", "product video", "explainer video", "promo video", "demo video", "training video", "ad video", "commercial", "marketing video", "video with voiceover", "video with music", "brand video", "testimonial video" Orchestrates: script, voiceover, background music, video clips/images, and final assembly.
Audit and refactor existing SKILLs. Use when improving drafts, fixing quality, or aligning to spec. For creating new skills from scratch use skill-creator (anthropics/skills).
Identify missing skills and recommend installations from AI Cortex or public skill catalogs. Use when discovering capabilities or suggesting skills to fill gaps.
Extract text from images and PDFs using Mistral OCR API. Convert scanned documents to Markdown, JSON, or plain text. No external dependencies required. Use when you need OCR, extract text from images, convert PDFs to markdown, or digitize documents.
architecture design system planning structure pattern integration features
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Guide for assistant-stream package and streaming protocols. Use when implementing streaming backends, custom protocols, or debugging stream issues.
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.