Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Alicloud Ai Audio Tts Voice Design
Voice design workflows with Alibaba Cloud Model Studio Qwen TTS VD models. Use when creating custom synthetic voices from text descriptions and using them for speech synthesis.
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Voice design workflows with Alibaba Cloud Model Studio Qwen TTS VD models. Use when creating custom synthetic voices from text descriptions and using them for speech synthesis.
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- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/sources.md, scripts/prepare_voice_design_request.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
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- cinience
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Documentation
Model Studio Qwen TTS Voice Design
Use voice design models to create controllable synthetic voices from natural language descriptions.
Critical model names
Use one of these exact model strings: qwen3-tts-vd-2026-01-26 qwen3-tts-vd-realtime-2026-01-15
Prerequisites
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.
Request
voice_prompt (string, required) target voice description text (string, required) stream (bool, optional)
Response
audio_url (string) or streaming PCM chunks voice_id (string) request_id (string)
Operational guidance
Write voice prompts with tone, pace, emotion, and timbre constraints. Build a reusable voice prompt library for product consistency. Validate generated voice in short utterances before long scripts.
Local helper script
Prepare a normalized request JSON and validate response schema: .venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/prepare_voice_design_request.py \ --voice-prompt "A warm female host voice, clear articulation, medium pace" \ --text "This is a voice-design demo"
Output location
Default output: output/ai-audio-tts-voice-design/audio/ Override base dir with OUTPUT_DIR.
Validation
mkdir -p output/alicloud-ai-audio-tts-voice-design for f in skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-audio-tts-voice-design/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-design/validate.txt is generated.
Output And Evidence
Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-tts-voice-design/. Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
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
references/sources.md
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/sources.md
- scripts/prepare_voice_design_request.py
- agents/openai.yaml