# Pabal

> Use this tool when you need to automate App Store Optimization (ASO) workflows for iOS and Android apps, streamlining tasks such as app registration, release management, and data synchronization. Pabal solves problems related to manual ASO management, providing a local-first architecture for secure credential storage and bidirectional sync with App Store Connect and Google Play Console APIs. It is ideal for use cases requiring efficient app optimization, version tracking, and data consistency across platforms.

Canonical page: https://skillsregistry.net/skills/pabal  
JSON: https://api.skillsregistry.net/v1/skills/pabal

## Description

Pabal enables AI clients to automate App Store Optimization workflows across both iOS and Android platforms. Provides tools for app registration, release management, ASO data synchronization, and version tracking. Features a local-first architecture that keeps credentials and cached ASO data entirely on the user's machine. Supports bidirectional sync operations with App Store Connect and Google Play Console APIs through a local cache directory.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pabal)
- **Repository:** <https://github.com/quartz-labs-dev/pabal-store-api-mcp>

## 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": "pabal"
    }
  }
}
```

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