# suresh-hr-assist

> suresh-hr-assist — amgoth-suresh-hr-assist-agentic-ai-system. Use this tool when you need to streamline HR processes and automate tasks such as employee onboarding, leave management, and meeting scheduling. It solves problems related to manual data entry, scheduling conflicts, and communication breakdowns by providing a natural language interface and automated email notifications. Ideal for HR teams looking to increase efficiency and reduce administrative burdens, it accepts natural language inputs and generates organized outputs with demo data for easy implementation.

Canonical page: https://skillsregistry.net/skills/amgoth-suresh-hr-assist-agentic-ai-system  
JSON: https://api.skillsregistry.net/v1/skills/amgoth-suresh-hr-assist-agentic-ai-system

## Description

Automates HR workflows such as employee onboarding, leave management, meeting scheduling, and ticket handling through natural language, with email notifications and demo data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kf8r7uck50)
- **Repository:** <https://github.com/Amgoth-Suresh/HR-ASSIST-Agentic-AI-System>

## 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": "amgoth-suresh-hr-assist-agentic-ai-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amgoth-suresh-hr-assist-agentic-ai-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amgoth-suresh-hr-assist-agentic-ai-system/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