# AutoStore Interface

> Use this tool when you need to generate suggested customer email replies or query AutoStore documentation for support workflows. It solves problems related to customer support and email response automation by providing system prompts, reply templates, and topic classification rules. The tool takes in search queries and documentation as inputs, and outputs relevant email replies and support information.

Canonical page: https://skillsregistry.net/skills/robertoforni-autostore-interface  
JSON: https://api.skillsregistry.net/v1/skills/robertoforni-autostore-interface

## Description

Generates suggested customer email replies using AutoStore Interface documentation as the knowledge source. Connects to a ReadMe-hosted MCP endpoint exposing search tools for querying AutoStore documentation. Includes system prompts, reply templates, and topic classification rules for structured support workflows.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/robertoforni-autostore-interface)
- **Repository:** <https://github.com/robertoforni/mcpserver>

## 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": "robertoforni-autostore-interface"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robertoforni-autostore-interface` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robertoforni-autostore-interface/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
