scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hy…
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hy…
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
Simulate a scenario where multiple AI agents collaborate in a meeting to discuss and make decisions. It is suitable for scenarios that require analyzing problems from multiple professional perspective…
Smart answering framework that adapts to question types and delivers evidence-based, natural responses.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati…
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document anal…
Orchestrate complex tasks by delegating work to parallel subagent teams, preserving the main context window and preventing auto-compact. This skill should be used when users ask to apply subagent-team…
Specialized skill for AI product video generation. Use when you need product reveals, animated product shots, hero video banners, or e-commerce video content. Triggers on: product video, product revea…
Installation and quick start guide for Helios video engine. Use when setting up a new Helios project, installing packages, or creating your first composition. Covers package installation, requirements…
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with...
Use when working with context management context save
Analyze oral health data, identify patterns of oral problems, evaluate oral health conditions, and provide personalized oral health advice. Support correlation analysis with other health data such as …
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Local offline TTS: no API required, on-device inference, multiple voices, privacy-first speech
Wikipedia article search and retrieval
Renderer API for generating video/image output from Helios compositions. Use when you need to programmatically render a composition to a file using Node.js.
'Auri: assistente de voz inteligente (Alexa + Claude claude-opus-4-20250805). Visao do produto, persona Vitoria Neural, stack AWS, modelo Free/Pro/Business/Enterprise, roadmap 4 fases, GTM,'
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
Agente that simulates Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks. Use quando quiser: perspectivas históricas sobre
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing productio...