# SuperBot

> SuperBot — ai-superbotapp-superbot. Use this tool when you need to improve your AI's conversational abilities by identifying knowledge gaps and updating its responses. SuperBot solves the problem of incomplete or inaccurate AI knowledge by analyzing support conversations and providing new answers to unanswered questions. It takes in support conversation data as input and outputs updated AI responses, making it ideal for use in customer support and chatbot development contexts.

Canonical page: https://skillsregistry.net/skills/ai-superbotapp-superbot  
JSON: https://api.skillsregistry.net/v1/skills/ai-superbotapp-superbot

## Description

Read your SuperBot support conversations, find unanswered questions, and teach your AI new answers.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-25

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.superbotapp%2Fsuperbot)

## Use it

MCP endpoint published by the skill: `https://superbotapp.ai/api/mcp`

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": "ai-superbotapp-superbot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-superbotapp-superbot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-superbotapp-superbot/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