# ASOHawk

> ASOHawk — prodocik-asohawk. Use this tool when you need to optimize mobile app performance and visibility in the app store. ASOHawk provides AI agents with access to rankings, keywords, competitors, reviews, and revenue data, enabling data-driven decisions to improve app store optimization. It accepts metadata updates with human approval, streamlining the optimization process.

Canonical page: https://skillsregistry.net/skills/prodocik-asohawk  
JSON: https://api.skillsregistry.net/v1/skills/prodocik-asohawk

## Description

MCP server for App Store Optimization, enabling AI agents to read rankings, keywords, competitors, reviews, and revenue, and manage metadata with human approval.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yzuhdxrs83)
- **Repository:** <https://github.com/prodocik/asohawk>

## 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": "prodocik-asohawk"
    }
  }
}
```

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