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8.475 skills encontradas
vr-ar
VR/AR development principles. Comfort, interaction, performance requirements.
observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.
claude-in-chrome-troubleshooting
Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.
observability-monitoring-slo-implement
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices. Design comprehensive SLO frameworks, establish meaningful SLIs, and create monitoring systems that balance reliability with feature velocity.
design-orchestration
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
sql-pro
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
nextjs-best-practices
Next.js App Router principles. Server Components, data fetching, routing patterns.
gmail-automation
Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
frontend-design
You are a frontend designer-engineer, not a layout generator.
wiki-vitepress
Transform generated wiki Markdown files into a polished VitePress static site with dark theme and interactive Mermaid diagrams. Use when user asks to \"build a site\" or \"package as VitePress\", user runs the /deep-wiki, or user wants a browsable HTML output from generated wiki pages.
azure-ai-projects-dotnet
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
yann-lecun-tecnico
Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.