Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with clon...
Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with clon...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Use voice cloning models to replicate timbre from enrollment audio samples.
Use one of these exact model strings: qwen3-tts-vc-2026-01-22 qwen3-tts-vc-realtime-2026-01-15
Install SDK in a virtual environment: python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
text (string, required) voice_sample (string | bytes, required) enrollment sample voice_name (string, optional) stream (bool, optional)
audio_url (string) or streaming PCM chunks voice_id (string) request_id (string)
Use clean speech samples with low background noise. Respect consent and policy requirements for cloned voices. Persist generated voice_id and reuse for future synthesis requests.
Prepare a normalized request JSON and validate response schema: .venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/prepare_voice_clone_request.py \ --text "Welcome to this voice-clone demo" \ --voice-sample "https://example.com/voice-sample.wav"
Default output: output/ai-audio-tts-voice-clone/audio/ Override base dir with OUTPUT_DIR.
mkdir -p output/alicloud-ai-audio-tts-voice-clone for f in skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-audio-tts-voice-clone/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-clone/validate.txt is generated.
Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-tts-voice-clone/. Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. Run one minimal read-only query first to verify connectivity and permissions. Execute the target operation with explicit parameters and bounded scope. Verify results and save output/evidence files.
references/sources.md
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.