# gemini-flow

> gemini-flow — clduab11-gemini-flow. Use this tool when you need to automate AI development workflows and streamline collaboration. Gemini-flow solves problems of manual workflow management and facilitates autonomous AI team operations by integrating with git. It takes in development tasks and outputs optimized workflows, ideal for use in AI development projects requiring efficient version control and team coordination.

Canonical page: https://skillsregistry.net/skills/clduab11-gemini-flow  
JSON: https://api.skillsregistry.net/v1/skills/clduab11-gemini-flow

## Description

rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an autonomous AI development team.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **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/clduab11/gemini-flow)

## 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": "clduab11-gemini-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clduab11-gemini-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clduab11-gemini-flow/pull`

---
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