# rasa

> Use this tool when you need to build conversational AI interfaces, such as chatbots or voice assistants, to solve problems like automated customer support and user engagement. Rasa takes in natural language inputs and outputs intent-based responses, allowing for seamless human-computer interactions. It is particularly useful in contexts where custom, domain-specific dialogue systems are required, and integrates with version control systems like Git.

Canonical page: https://skillsregistry.net/skills/ssm32613-ui-rasa  
JSON: https://api.skillsregistry.net/v1/skills/ssm32613-ui-rasa

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ssm32613-ui/rasa)

## 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": "ssm32613-ui-rasa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssm32613-ui-rasa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssm32613-ui-rasa/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