speech

Convert text into natural-sounding speech using AI voices.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/DanialHaseeb/dotfiles --skill speech-danialhaseeb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speech
Source: https://github.com/DanialHaseeb/dotfiles/tree/main/codex/skills/speech
Command: npx skills add https://github.com/DanialHaseeb/dotfiles --skill speech-danialhaseeb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Convert text into natural-sounding speech using AI voices for narration, accessibility reads, IVR prompts, or product demos. This Skill provides a simple CLI workflow with built-in voices and requires an OPENAI_API_KEY for live calls.

Core Features & Use Cases

  • Single text-to-speech generation for quick prompts.
  • Batch processing for larger workloads with deterministic outputs.
  • Supports built-in voices and a guided workflow for speech generation.

Quick Start

Use the bundled CLI to generate speech from text.

Frequently Asked Questions about speech

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert text to natural-sounding speech using OpenAI audio?

You can convert text to natural-sounding speech by running the bundled CLI, which uses OpenAI audio voices to generate speech from single prompts or batches. It requires an OPENAI_API_KEY for live calls.

Can I batch process text-to-speech generation for multiple files?

Yes, batch processing text-to-speech is supported for larger workloads like narration or IVR prompts. The tool handles batches with deterministic outputs, ensuring consistent audio generation across runs.

What do I need to set up before generating AI voices?

You need an OPENAI_API_KEY configured in your environment before generating AI voices. The workflow includes built-in environment checks to verify this setup before executing any speech generation tasks.

Does this speech generation tool support deterministic outputs?

Yes, the speech generation tool supports deterministic run support for consistent, reproducible audio outputs. This ensures batch processing and repeated generations yield the exact same speech results.

What are the best use cases for AI-generated speech?

AI-generated speech is best used for narration, accessibility reads, IVR prompts, and product demos. The tool provides built-in voices and a guided CLI workflow to handle these specific text-to-speech scenarios.

Are there limitations when using OpenAI text-to-speech for narration?

OpenAI text-to-speech requires a valid OPENAI_API_KEY for live calls, meaning offline generation is not supported. Users are limited to the available built-in voices provided by the OpenAI audio API.