# email-autoreply

> Use this tool when you need to automatically respond to emails with relevant and contextual information. It solves the problem of manually responding to repetitive or routine emails, saving time and increasing productivity. The tool takes in email content as input and generates a personalized reply as output, ideal for use in customer service, technical support, or general email management contexts.

Canonical page: https://skillsregistry.net/skills/user520512-email-autoreply  
JSON: https://api.skillsregistry.net/v1/skills/user520512-email-autoreply

## Description

Generate context-aware email replies.

## 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/user520512-email-autoreply)

## 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": "user520512-email-autoreply"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/user520512-email-autoreply` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/user520512-email-autoreply/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