How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does qwen-voice support?

qwen-voice works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is qwen-voice free to use?

Yes. qwen-voice is free to install and use. It is available from the open explainx.ai skill registry published by ada20204.

Where can I read ratings and reviews for qwen-voice?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install qwen-voice?

Run `npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

qwen-voice▌

ada20204/qwen-voice · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice

0 commentsdiscussion

summary

Use the bundled scripts. Configure DASHSCOPE_API_KEY in one of:

skill.md

Qwen Voice (ASR + TTS)

Use the bundled scripts. Configure DASHSCOPE_API_KEY in one of:

~/.config/qwen-voice/.env (recommended)
<repo>/.qwen-voice/.env (dev/testing)

ASR (speech → text)

Non-timestamp (default)

python3 skills/qwen-voice/scripts/qwen_asr.py --in /path/to/audio.ogg

With timestamps (chunk-based)

python3 skills/qwen-voice/scripts/qwen_asr.py --in /path/to/audio.ogg --timestamps --chunk-sec 3

Notes:

Timestamps are generated by fixed-length chunking (not word-level alignment).
Input audio is converted to mono 16kHz WAV before sending.

TTS (text → speech)

Preset voice (default: Cherry)

python3 skills/qwen-voice/scripts/qwen_tts.py --text '你好，我是 Pi。' --voice Cherry --out /tmp/out.ogg

Clone voice (create once, reuse)

Create a voice profile from a sample audio:

python3 skills/qwen-voice/scripts/qwen_voice_clone.py --in ./voice_sample.ogg --name george --out work/qwen-voice/george.voice.json

Use the cloned voice to synthesize:

python3 skills/qwen-voice/scripts/qwen_tts.py --text '你好，我是 George。' --voice-profile work/qwen-voice/george.voice.json --out /tmp/out.ogg

Notes:

.ogg output is Opus, suitable for Telegram voice messages.
Voice cloning uses DashScope customization endpoint + Qwen realtime TTS model.
Scripts use a local venv at work/venv-dashscope (auto-created on first run).

Typical chat workflow

When user sends voice message/audio: run ASR and reply with the transcribed text.
When user explicitly asks for voice reply: run TTS and send the generated .ogg as a voice note.

how to use qwen-voice

How to use qwen-voice on Cursor

AI-first code editor with Composer

Prerequisites

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

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add qwen-voice

Execute installation command

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

$npx skills add https://github.com/ada20204/qwen-voice --skill qwen-voice

The skills CLI fetches qwen-voice from GitHub repository ada20204/qwen-voice and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/qwen-voice

Reload or restart Cursor to activate qwen-voice. Access the skill through slash commands (e.g., /qwen-voice) or your agent's skill management interface.

⚠

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.5★★★★★27 reviews

★★★★★Ganesh Mohane· Dec 12, 2024
qwen-voice fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Kofi Agarwal· Dec 4, 2024
We added qwen-voice from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Yash Thakker· Nov 27, 2024
qwen-voice has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Tariq Brown· Nov 19, 2024
qwen-voice reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Kofi Chen· Nov 11, 2024
qwen-voice is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Sakshi Patil· Nov 3, 2024
Registry listing for qwen-voice matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Chaitanya Patil· Oct 22, 2024
qwen-voice reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Dhruvi Jain· Oct 18, 2024
Solid pick for teams standardizing on skills: qwen-voice is focused, and the summary matches what you get after install.
★★★★★Zaid Reddy· Oct 10, 2024
Registry listing for qwen-voice matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Kofi Thompson· Oct 2, 2024
Keeps context tight: qwen-voice is the kind of skill you can hand to a new teammate without a long onboarding doc.

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