AI Agents

Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video inte

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly sc

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning st

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget

Turns requirements into a precise, dependency-aware implementation plan.

Designs the data model, API contracts, and structural foundation of the system.

Transform audio recordings into professional Markdown documentation with intelligent summaries using

Auri: assistente de voz inteligente (Alexa + Claude claude-opus-4-20250805). Visao do produto, perso

Extract structured domain knowledge from AI models in-session or from local open-source models via O

Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qual

Handles containerization, CI/CD pipelines, and deployment setup.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential depend

Guide to selecting and optimizing embedding models for vector search applications.

Semantic search, similar content discovery, and structured research using Exa API. Use when you need

Text-to-speech and speech-to-text using fal.ai audio models

Build background agents in sandboxed environments. Use for hosted coding agents, sandboxed VMs, Moda

Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creat

Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak direc

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applicati

Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langg

Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, l

Reviews code for objective correctness, security, and reliability.

Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.

Microsoft 365 Agents SDK for TypeScript/Node.js.

Produces clean, functional code that matches the architecture and checklists.

Cleans up and improves existing code without changing behavior.

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services thro

Use this skill when building MCP servers to integrate external APIs or services, whether in Python (

Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi

This skill should be used when the user asks to "design multi-agent system", "implement supervisor p

Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat m

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each q

Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent wor

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domai

Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini

Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependenc

Proves the system works by writing and executing comprehensive test suites.

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector database

Designs composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→F

Translates user intent into a precise, unambiguous specification and requirements.

Implement efficient similarity search with vector databases. Use when building semantic search, impl

Web search, content extraction, crawling, and research capabilities using Tavily API. Use when you n

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pineco

Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters,

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers

Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minifie