# snippy

> snippy — azure-samples-snippy. Use this tool when you need to build AI-powered workflows with multi-agent orchestration, leveraging Azure Functions, Cosmos vector search, and OpenAI capabilities. It solves problems related to complex task automation, data processing, and AI model integration, accepting inputs from git and producing orchestrated workflow outputs. Ideal for use cases requiring scalable, serverless, and intelligent workflow management.

Canonical page: https://skillsregistry.net/skills/azure-samples-snippy  
JSON: https://api.skillsregistry.net/v1/skills/azure-samples-snippy

## Description

🧩 Build AI-powered MCP Tools with Azure Functions, Durable Agents & Cosmos vector search. Features orchestrated multi-agent workflows using OpenAI.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Azure-Samples/snippy)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "azure-samples-snippy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azure-samples-snippy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azure-samples-snippy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt