# ai-dev-agents

> ai-dev-agents — cittasana-ai-dev-agents. Use this tool when you need to automate AI development tasks, such as coding and testing, to increase efficiency and productivity. It solves problems like manual coding errors, slow development cycles, and limited resource allocation, by utilizing autonomous AI teams that integrate with git. This tool is ideal for complex AI projects that require rapid development, testing, and deployment.

Canonical page: https://skillsregistry.net/skills/cittasana-ai-dev-agents  
JSON: https://api.skillsregistry.net/v1/skills/cittasana-ai-dev-agents

## Description

Autonomous AI development teams using Claude Code Agent Teams architecture

## Trust

- **Trust score (0–1):** 0.77
- **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/Cittasana/ai-dev-agents)

## 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": "cittasana-ai-dev-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cittasana-ai-dev-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cittasana-ai-dev-agents/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