Receber por email

Explorar skills

2.212 skills encontradas

azure-resource-manager-mysql-dotnet

141

Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.

Dados e Análise #deploy #sql por lingxling

render-automation

141

Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.

Design e Frontend #deploy #mcp por lingxling

production-audit

141

Audit a shipped repo for production-readiness gaps across RLS, webhooks, secrets, grants, Stripe idempotency, mobile UX, and deployment health.

Design e Frontend #deploy por lingxling

vercel-deployment

141

Expert knowledge for deploying to Vercel with Next.js

Design e Frontend #deploy por lingxling

local-llm-expert

141

Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.

Design e Frontend #ai #deploy por lingxling

render-deploy

141

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

Design e Frontend #deploy por lingxling

expo-deployment

141

Deploy Expo apps to production

Design e Frontend #deploy por lingxling

local-llm-expert

141

Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.

Design e Frontend #ai #deploy por lingxling

unity-developer

141

Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment.

Design e Frontend #deploy por lingxling

kubernetes-deployment

141

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

Design e Frontend #ai #deploy por lingxling

local-llm-expert

141

Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.

Design e Frontend #ai #deploy por lingxling

helm-chart-scaffolding

141

Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.

Design e Frontend #deploy por lingxling