Generate spoken audio from text prompts via bundled CLI scripts/text_to_speech.py.
npx skills add https://github.com/allenbenj/pages --skill speech-allenbenj
Please help me install this Agent Skill. Skill: speech Source: https://github.com/allenbenj/pages/tree/main/.agents/skills/speech Command: npx skills add https://github.com/allenbenj/pages --skill speech-allenbenj
Turn text-to-speech generation eliminates the manual effort of recording audio by providing AI-generated narration via built-in voices for quick product demos, accessibility reads, and prompts.
Run the bundled CLI scripts/text_to_speech.py with your text to generate speech using the default cedar voice.
High-intent search queries and answers about installing and using this skill.
Generate text-to-speech audio by running the bundled scripts/text_to_speech.py CLI with your text input to produce natural-speech using default built-in voices. You can use it for single narration prompts or batch audio generation.
Yes, an OPENAI_API_KEY is required for batch text-to-speech generation. The bundled CLI enforces this requirement for all live calls to ensure security and compliance when converting text input into audio outputs.
Yes, you can process multiple text-to-speech prompts in a batch run by providing a JSONL batch file to the CLI. This allows you to generate many audio clips efficiently from one command execution.
Limitations of using the OpenAI API for AI voice generation include enforced input limits and rate limits applied by the CLI. You must manage these constraints when processing large JSONL batch files for audio outputs.
The default AI voice used for text-to-speech generation is the built-in cedar voice. It provides reproducible, deterministic outputs for your narration prompts and product demos when using the CLI.
The best way to automate text-to-speech for accessibility reads is using the bundled CLI with built-in AI voices and a JSONL batch file. This eliminates manual recording effort and outputs common audio formats deterministically.
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