alicloud-ai-audio-tts-realtime

Category: provider

cinience/alicloud-skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-audio-tts-realtime

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Installation Guide

How to use alicloud-ai-audio-tts-realtime on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add alicloud-ai-audio-tts-realtime
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-audio-tts-realtime

Fetches alicloud-ai-audio-tts-realtime from cinience/alicloud-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/alicloud-ai-audio-tts-realtime

Restart Cursor to activate alicloud-ai-audio-tts-realtime. Access via /alicloud-ai-audio-tts-realtime in your agent's command palette.

Security Notice

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.

Documentation

Category: provider

Model Studio Qwen TTS Realtime

Use realtime TTS models for low-latency streaming speech output.

Critical model names

Use one of these exact model strings:

  • qwen3-tts-flash-realtime
  • qwen3-tts-instruct-flash-realtime
  • qwen3-tts-instruct-flash-realtime-2026-01-22
  • qwen3-tts-vd-realtime-2026-01-15
  • qwen3-tts-vc-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.

Normalized interface (tts.realtime)

Request

  • text (string, required)
  • voice (string, required)
  • instruction (string, optional)
  • sample_rate (int, optional)

Response

  • audio_base64_pcm_chunks (array)
  • sample_rate (int)
  • finish_reason (string)

Operational guidance

  • Use websocket or streaming endpoint for realtime mode.
  • Keep each utterance short for lower latency.
  • For instruction models, keep instruction explicit and concise.
  • Some SDK/runtime combinations may reject realtime model calls over MultiModalConversation; use the probe script below to verify compatibility.

Local demo script

Use the probe script to verify realtime compatibility in your current SDK/runtime, and optionally fallback to a non-realtime model for immediate output:

.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-realtime/scripts/realtime_tts_demo.py \
  --text "This is a realtime speech demo." \
  --fallback \
  --output output/ai-audio-tts-realtime/audio/fallback-demo.wav

Strict mode (for CI / gating):

.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-realtime/scripts/realtime_tts_demo.py \
  --text "realtime health check" \
  --strict

Output location

  • Default output: output/ai-audio-tts-realtime/audio/
  • Override base dir with OUTPUT_DIR.

Validation

mkdir -p output/alicloud-ai-audio-tts-realtime
for f in skills/ai/audio/alicloud-ai-audio-tts-realtime/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-audio-tts-realtime/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-realtime/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-tts-realtime/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • references/sources.md

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.536 reviews
  • O
    Omar DixitDec 28, 2024

    alicloud-ai-audio-tts-realtime has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • A
    Aarav SinghDec 12, 2024

    alicloud-ai-audio-tts-realtime fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • O
    Omar ChawlaNov 19, 2024

    Solid pick for teams standardizing on skills: alicloud-ai-audio-tts-realtime is focused, and the summary matches what you get after install.

  • O
    Omar BhatiaNov 15, 2024

    Registry listing for alicloud-ai-audio-tts-realtime matched our evaluation — installs cleanly and behaves as described in the markdown.

  • W
    William MalhotraNov 3, 2024

    I recommend alicloud-ai-audio-tts-realtime for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • S
    Sophia VermaOct 22, 2024

    Solid pick for teams standardizing on skills: alicloud-ai-audio-tts-realtime is focused, and the summary matches what you get after install.

  • O
    Olivia DialloOct 10, 2024

    I recommend alicloud-ai-audio-tts-realtime for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • S
    Soo RahmanOct 6, 2024

    Useful defaults in alicloud-ai-audio-tts-realtime — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • K
    Kabir ReddySep 21, 2024

    Keeps context tight: alicloud-ai-audio-tts-realtime is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • O
    Omar GhoshSep 13, 2024

    I recommend alicloud-ai-audio-tts-realtime for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

showing 1-10 of 36

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