Voice cloning and text-to-speech synthesis using Alibaba Cloud Qwen TTS VC models.
Works with
Supports two model variants: standard batch processing ( qwen3-tts-vc-2026-01-22 ) and real-time streaming ( qwen3-tts-vc-realtime-2026-01-15 )
Accepts voice samples as file paths or raw bytes; generates cloned voice IDs for reuse across multiple synthesis requests
Normalized interface handles text input, voice enrollment, optional streaming output, and returns audio URLs or PCM chunks
Requires DASH
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-ai-audio-tts-voice-cloneExecute the skills CLI command in your project's root directory to begin installation:
Fetches alicloud-ai-audio-tts-voice-clone from cinience/alicloud-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate alicloud-ai-audio-tts-voice-clone. Access via /alicloud-ai-audio-tts-voice-clone in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Category: provider
Use voice cloning models to replicate timbre from enrollment audio samples.
Use one of these exact model strings:
qwen3-tts-vc-2026-01-22qwen3-tts-vc-realtime-2026-01-15python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.text (string, required)voice_sample (string | bytes, required) enrollment samplevoice_name (string, optional)stream (bool, optional)audio_url (string) or streaming PCM chunksvoice_id (string)request_id (string)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"
output/ai-audio-tts-voice-clone/audio/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.
output/alicloud-ai-audio-tts-voice-clone/.references/sources.mdPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: alicloud-ai-audio-tts-voice-clone is the kind of skill you can hand to a new teammate without a long onboarding doc.
alicloud-ai-audio-tts-voice-clone is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
alicloud-ai-audio-tts-voice-clone reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for alicloud-ai-audio-tts-voice-clone matched our evaluation — installs cleanly and behaves as described in the markdown.
We added alicloud-ai-audio-tts-voice-clone from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
alicloud-ai-audio-tts-voice-clone reduced setup friction for our internal harness; good balance of opinion and flexibility.
alicloud-ai-audio-tts-voice-clone fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
alicloud-ai-audio-tts-voice-clone reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for alicloud-ai-audio-tts-voice-clone matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in alicloud-ai-audio-tts-voice-clone — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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