By sickn33
Build, deploy, and monitor Azure AI and cloud applications using Azure OpenAI, Functions, Container Apps, AI Search, and OpenTelemetry with .NET, Python, and Node.js.
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models.
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
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Local, deterministic skill-stack composition for coding agents—from an explicit project profile to a reviewable plan before any target change.
Current release: V15.0.0. This release includes AAS Core under the Agent-First Preview claim for local search, inspection, recommendation, manifest validation, planning, and diagnosis. Apply and recovery remain experimental and outside the supported preview path.
Codex or Claude inspects your project using its own capabilities; AAS does not scan it. The agent sends the local, read-only AAS MCP an explicit project profile. AAS Core evaluates that profile and your policy against a verified local catalog, returns an explainable recommendation, and lets the agent propose aas-stack.json. The aas CLI validates that desired state and creates an immutable per-target plan before any skill changes are made.
Read the AAS Core preview guide →
Project
-> inspected by Codex or Claude (not by AAS)
-> explicit, allowlisted project profile
-> AAS MCP (local stdio, read-only)
-> deterministic AAS Core + verified local catalog
-> recommendation with evidence, exclusions, coverage, and unknowns
-> agent proposes aas-stack.json
-> AAS CLI validate + immutable plan preview
-> human review (optionally in Workbench)
The 1,967+ reusable SKILL.md playbooks, specialized plugins, bundles, workflows, and direct installers remain important. They are the content, curation, distribution, and compatibility layers around AAS Core—not competing primary products.
This is an independent community project. It is not affiliated with, sponsored by, endorsed by, or authorized by Google. Google, Antigravity, Gemini, and related product names are referenced only to describe compatibility and install targets. The GitHub repository is canonical; the hosted catalog and browser-local Workbench are companion discovery and review surfaces, not a hosted control plane.
The agent composes. You control. AAS keeps the stack reproducible.
AAS Core gives the repository one product model:
search_skills, get_skill, recommend_stack, inspect_stack, and diff_stack; it does not install skills, scan source files, call a remote model, or write to the project.aas-stack.json. The manifest pins catalog identity, targets, goals, policy, and exact skill IDs without storing repository source or model reasoning.aas stack validate checks the proposal, while aas stack plan produces an immutable, per-target plan without applying it.npx claudepluginhub sickn33/agentic-awesome-skills --plugin agentic-bundle-azure-ai-cloudEditorial "AAS Agent & MCP Builder" bundle for Claude Code from Agentic Awesome Skills.
Editorial "AAS API Platform Builder" bundle for Claude Code from Agentic Awesome Skills.
Editorial "Security Developer" bundle for Claude Code from Agentic Awesome Skills.
Editorial "DDD & Evented Architecture" bundle for Claude Code from Agentic Awesome Skills.
Editorial "Mobile Developer" bundle for Claude Code from Agentic Awesome Skills.
Editorial "Azure AI & Cloud" bundle for Claude Code from Antigravity Awesome Skills.
Complete Azure cloud expertise covering 2025-2026 features. This plugin should be used for ANY Azure resource provisioning, AKS Automatic, Container Apps GPU, Azure OpenAI (GPT-5, reasoning models), Deployment Stacks, Azure ML workspaces, AI Foundry, compute clusters, endpoints, Terraform, networking, private endpoints, managed identities, debugging, and cost optimization.
Azure SDK patterns and best practices for .NET developers covering AI, resource management, identity, messaging, and Key Vault libraries.
Azure service configuration and deployment automation
A curated collection of production-ready agentic skills for Microsoft Azure development. Installs 193+ skills covering Azure compute, data, AI/ML, networking, security, and management services. Built from Microsoft Learn documentation and following the Agent Skills open standard.
Azure cloud toolkit for cost optimization, ARM templates, and infrastructure design. Includes azure architect agent for strategic Azure decisions.