What you can do
- Turn approved text into narration with the bundled OpenAI Audio API client.
Before you start
- Python, the openai package, OPENAI_API_KEY, and API billing access.
Try your first task
After installing, send this example to your AI tool.
Use speech. Generate a calm narration of this 150-word script and save an MP3 for review.
What to look for
An audio file with the requested text, delivery, and output format.
Keep in mind
- API calls incur usage costs; custom voice creation is outside this Skill’s scope.
Open source, traceable origins
Source, license, and package contents have been reviewed. End-to-end tasks have not been verified across agents; examples describe expected results.
Source reviewed:
FAQ
Agent Skills FAQ
Practical answers for choosing, installing, and using your first skill.
How do I install and start using Generate spoken narration?
Download the complete ZIP and keep the speech folder and supporting files together. For a project installation, use .claude/skills/speech/ in Claude Code or .agents/skills/speech/ in Codex, with SKILL.md directly inside it. Complete this page's prerequisites, confirm discovery, and start with the example in the first-task card.
What do I need to use Generate spoken narration?
Python, the openai package, OPENAI_API_KEY, and API billing access.
Can I use these Skills with Chinese requests?
You can ask an agent that supports Chinese to work with Chinese materials and produce Chinese output. Specify the desired language, audience, and terminology in your request. Results depend on the agent and skill, so check the output against your task requirements.
Who created this skill and which license is included?
The original author is OpenAI, from openai/skills, with the Apache-2.0 license included. AILesson preserves the files and source version, and GitHub Releases provides the download. Use the source card to inspect the pinned version and original files.
Have all Skills been tested, and what should I review?
The current collection has source, license, and package-content checks. It does not claim that every skill has completed real tasks in every agent. Review the files and prerequisites before enabling a skill, and check facts, citations, generated code, and proposed actions in its output. The examples describe expected results rather than verified demonstrations.
