# AirOps

> Use this tool when you need to automate and streamline AI workflows, or create complex content generation pipelines with structured outputs. AirOps solves problems related to efficient AI workflow management, content creation, and data processing by providing a platform to build, test, and deploy custom pipelines. It takes in AI prompts and workflows as inputs and produces structured, generated content as outputs.

Canonical page: https://skillsregistry.net/skills/airops  
JSON: https://api.skillsregistry.net/v1/skills/airops

## Description

Build and run AI workflows and prompt chains. Create, test, and deploy content generation pipelines with structured outputs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/airops)

## 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": "airops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/airops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/airops/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