Text-to-speech conversion using GLM-TTS service via the `uvx zai-tts` command for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, podcast, driving, cooking). (3) Using pre-cloned voices for speech.
npx skills add https://github.com/aahl/skills --skill zai-tts
Generate high-quality text-to-speech audio using GLM-TTS service via the uvx zai-tts command.
Before using this skill, you need to configure the environment variables ZAI_AUDIO_USERID and ZAI_AUDIO_TOKEN,
which can be obtained by login audio.z.ai and executing localStorage['auth-storage'] in the console via F12 Developer Tools.
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav
uvx zai-tts -f path/to/file.txt -o {tempdir}/{filename}.wav
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --speed 1.5
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --speed 1.5 --volume 2
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --voice system_002
system_001: Lila. A cheerful, standard-pronunciation female voice
system_002: Chloe. A gentle, elegant, intelligent female voice
system_003: Ethan. A sunny, standard-pronunciation male voice
Retrieve all available voices using shell commands:
uvx zai-tts -l
If you want to use custom voices, please complete voice cloning on the website audio.z.ai first.
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Take aahl/zai-tts from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference uvx.
Without those the skill loads but fails at the first command.