# say

> say — tobihagemann-say. Use this tool when you need to convert text into natural-sounding speech using Siri Natural Voices. It solves problems such as generating audio from written content, assisting with accessibility, and enhancing user experience with voice output. The tool takes text as input and produces audio output via the macOS say command.

Canonical page: https://skillsregistry.net/skills/tobihagemann-say  
JSON: https://api.skillsregistry.net/v1/skills/tobihagemann-say

## Description

Text-to-Speech via macOS say command with Siri Natural Voices.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tobihagemann-say)

## 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": "tobihagemann-say"
    }
  }
}
```

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