# openaso

> openaso — ai-openaso-openaso. Use this tool when you need to optimize app store listings for maximum visibility and downloads, as it provides valuable insights into keyword ranks, suggestions, and competitor analysis. It solves problems such as low app discoverability and poor conversion rates by offering data-driven suggestions for improvement. With inputs of app keywords and metadata, it outputs actionable recommendations and competitor benchmarks to inform optimization strategies.

Canonical page: https://skillsregistry.net/skills/ai-openaso-openaso  
JSON: https://api.skillsregistry.net/v1/skills/ai-openaso-openaso

## Description

App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.openaso%2Fopenaso)
- **Repository:** <https://github.com/xekor/openaso-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.openaso.ai/mcp`

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": "ai-openaso-openaso"
    }
  }
}
```

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