Voice Transcribe
Transcribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).
clawhub install voice-transcribeGenerate natural and fluent audio content using GLM-TTS text-to-speech technology
# Install Skill (downloads SKILL.md to .claude/skills/) clawhub install zai-tts # Then just tell Claude: "use 🗣️ Text-to-speech using GLM-TTS for generating audio to help me..."
# Same install command — works with all SKILL.md-compatible AI coding tools clawhub install zai-tts
This Skill is compatible with the OpenClaw standard. After installation, a SKILL.md file is auto-generated, usable by any OpenClaw-compatible AI Agent (Claude Code, Cursor, Windsurf, etc.).
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 voiceuvx zai-tts -l
If you want to use custom voices, please complete voice cloning on the website audio.z.ai first.```bash
# 为视频脚本生成自然流畅的中文配音
clawhub run zai-tts \
--file video_script.txt \
--voice "natural-female" \
--language "zh-CN" \
--speed 1.0 \
--emotion "friendly" \
--output-format mp3 \
--output-dir ./voice_overs
```Create chapters, highlights, and show notes from podcast audio or transcripts. Use when a user wants chapter markers, highlight clips, or show-note drafts without publishing or distribution actions.
clawhub install podcast-chaptering-highlights