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Deploy Container-Based Azure AI Agents

sickn33/antigravity-awesome-skills

Utilizes the Azure AI Projects SDK's ImageBasedHostedAgentDefinition to build robust, container-based AI agents deployed in Azure AI Foundry. This workflow is essential for creating production-grade agents that require custom logic, precise resource allocation (CPU/Memory), and integration of advanced tools like code interpreters.

All Images AI Automation

all-images-ai-automation

ComposioHQ/awesome-claude-skills

Automates Composio’s All Images AI toolkit through Rube MCP by guiding tool discovery, validating connections, and driving schema-compliant multi-tool execution for image AI workflows.

All Images AI Automation

all-images-ai-automation

ComposioHQ/awesome-claude-skills

Automates Composio’s All Images AI toolkit through Rube MCP by guiding tool discovery, validating connections, and driving schema-compliant multi-tool execution for image AI workflows.

Azure Container Registry Management SDK

azure-containerregistry-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

Azure Container Registry Management SDK

azure-containerregistry-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with Azure Container Registry (ACR). This tool allows developers to manage the full container lifecycle, including listing repositories, handling tags, manipulating manifests, downloading artifacts, and managing container images within Azure's cloud environment. Ideal for implementing robust CI/CD pipelines and container automation.

Deepgram Production Deployment Guide

deepgram-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

Docker Build Best Practices

docker-best-practices

rohitg00/awesome-claude-code-toolkit

Collects Docker build, compose, and runtime tips including multi-stage builds, isolated dependencies, compose healthchecks, .dockerignore, image analysis, and security anti-patterns to streamline container pipelines.

Docker Hub Automation

docker-hub-automation

ComposioHQ/awesome-claude-skills

Automates Docker Hub workflows through the Composio MCP integration, letting teams list organizations, create orgs and repositories, manage members and teams, and configure image-push webhooks for predictable deployments.

Docker Best Practices for Production Deployment

docker-patterns

affaan-m/everything-claude-code

A comprehensive guide to building, optimizing, and deploying production-grade Docker images and containers. Covers advanced concepts such as multi-stage builds, layer caching optimization, security hardening (non-root users, secrets), health checks, and effective volume/network configuration using docker-compose.

Secure File Uploads And Cloud Storage

sickn33/antigravity-awesome-skills

Provides expert guidance on secure and performant file upload mechanisms for cloud environments. Covers best practices for using services like AWS S3 and Cloudflare R2, including implementing presigned URLs, handling large files via streaming, and optimizing images. Crucially emphasizes critical security measures such as validating file types using magic bytes, enforcing size limits, and preventing path traversal attacks.

Frontend Performance Patterns

frontend-excellence

rohitg00/awesome-claude-code-toolkit

Guides React Server Components workflows, streaming SSR, code splitting, bundle/image/font optimizations, and Core Web Vitals monitoring to keep Next.js frontends fast and responsive.

Optimizing AI Tool Usage Costs

gamma-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive strategies for optimizing API usage and managing expenditure when interacting with AI generation platforms like Gamma. It details implementing credit tracking systems to monitor consumption, employs cost-saving techniques (such as selecting lower-tier images or using templates), and demonstrates setting up proactive budget alerts to ensure spending remains within budget.

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