# talkito

> talkito — robdmac-talkito. Use this tool when you need to interact with AI systems using speech, across various channels such as terminal, API, or phone, to streamline development and testing processes. It solves problems of accessibility and efficiency in AI development by providing a versatile interface for voice-based input. TalkiTo accepts voice commands and outputs AI responses, making it ideal for use cases that require hands-free interaction or multi-channel integration.

Canonical page: https://skillsregistry.net/skills/robdmac-talkito  
JSON: https://api.skillsregistry.net/v1/skills/robdmac-talkito

## Description

TalkiTo lets developers interact with AI systems through speech across multiple channels (terminal, API, phone). It can be used as both a command-line tool and a Python library.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/robdmac/talkito)

## 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": "robdmac-talkito"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robdmac-talkito` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robdmac-talkito/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
