# Personal-AI-Employee

> Personal-AI-Employee — hibadawood-personal-ai-employee. Use this tool when you need to automate background tasks and streamline communication across multiple platforms, such as Gmail, WhatsApp, and LinkedIn. It solves problems of manual data monitoring and validation by implementing tier-based validation and programmatic scheduling. With git integration, it provides a seamless interface for inputs and outputs, making it ideal for enterprise-grade applications that require automated task management and data synchronization.

Canonical page: https://skillsregistry.net/skills/hibadawood-personal-ai-employee  
JSON: https://api.skillsregistry.net/v1/skills/hibadawood-personal-ai-employee

## Description

An enterprise-grade, multi-agent AI Employee architecture implementing automated background watchers (Gmail, WhatsApp, LinkedIn) with programmatic scheduling and tier-based validation.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/HibaDawood/Personal-AI-Employee)

## 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": "hibadawood-personal-ai-employee"
    }
  }
}
```

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