# agent-mail

> Use this tool when you need to manage email communications for AI agents, streamlining message exchange and automated processing. It solves problems of inbox management, automated email sorting, and integration with AI workflows. The agent-mail tool accepts email inputs and outputs sorted, prioritized, and processed messages, ideal for use cases requiring automated email handling and response generation.

Canonical page: https://skillsregistry.net/skills/rimelucci-agent-mail  
JSON: https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail

## Description

Email inbox for AI agents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rimelucci-agent-mail)

## 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": "rimelucci-agent-mail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rimelucci-agent-mail/pull`

---
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