# avo

> avo — gatordevin-avo. Use this tool when you need to evolve target implementations through autonomous coding agents, solving problems of iterative development and optimization. It enables users to guide the evolution of implementations by evaluating and selecting from generated candidate changes. Avo takes in user evaluations and outputs improved implementation variants, streamlining the development process.

Canonical page: https://skillsregistry.net/skills/gatordevin-avo  
JSON: https://api.skillsregistry.net/v1/skills/gatordevin-avo

## Description

Enables agentic evolutionary search where an autonomous coding agent acts as the variation operator, letting users evolve target implementations by starting runs, receiving step prompts, evaluating worktrees, and submitting or reverting candidate changes.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtfwoam8ha)
- **Repository:** <https://github.com/gatordevin/avo>

## 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": "gatordevin-avo"
    }
  }
}
```

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