Skills

DashScope Media

Generates Qwen images and speech, and transcribes audio with word timestamps.

Install

npx skills add calesthio/OpenMontage --skill dashscope -g -a claude-code -y
Repository
calesthio/OpenMontage74.3k
Category
Media
Updated
7d ago
License
AGPL-3.0
Context cost
Lightabout 1,418 tokens
Runs scripts
No, instructions only

What it does

DashScope (Alibaba Cloud Bailian / 阿里云百炼) integration, image generation (qwen-image-2.0-pro), text-to-speech (qwen3-tts-flash), and ASR with word-level timestamps (qwen3-asr-flash-filetrans). Use when generating images via Qwen-Image, narrating via Qwen-TTS, or transcribing with word-level timestamps via Qwen-ASR.

DashScope

Requires DASHSCOPE_API_KEY in .env. Get one at https://dashscope.aliyun.com/.

Current API

CRITICAL: DashScope's /compatible-mode/v1/ only supports /chat/completions and /embeddings. Image generation, TTS, and ASR all use DashScope-native endpoints, not OpenAI-compatible paths.

All three tools use Authorization: Bearer $DASHSCOPE_API_KEY.

Image Generation

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
  • Model: qwen-image-2.0-pro (default), qwen-image-max, wan2.7-image, z-image-turbo
  • Body: {model, input: {messages: [{role: "user", content: [{text: "prompt"}]}]}, parameters: {size: "W*H", n, prompt_extend, watermark}}
  • Size format uses asterisk: "1024*1024" not "1024x1024"
  • Response: output.choices[0].message.content[0].image (URL, valid ~24h), must download separately

Text-to-Speech

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

Same endpoint as image gen, different body.

  • Model: qwen3-tts-flash (default), qwen3-tts-instruct-flash, qwen-tts-2025-05-22
  • Body: {model, input: {text, voice: "Cherry", language_type: "Auto"}}
  • Response: output.audio.url (WAV, valid ~24h), must download separately

ASR with Word-Level Timestamps

POST https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription
Header: X-DashScope-Async: enable
  • Model: qwen3-asr-flash-filetrans (NOT qwen3-asr-flash, the sync version has no word timestamps)
  • Body: {model, input: {file_url: "https://public-url/audio.mp3"}, parameters: {enable_words: true, language_hints: ["zh","en"]}}
  • Returns task_id → poll GET /api/v1/tasks/{task_id} until SUCCEEDED → download output.result.transcription_url → JSON with transcripts[].sentences[].words[]
  • Timestamps in begin_time/end_time are in milliseconds, the tool normalizes to seconds

OpenMontage Usage

Read the whole SKILL.md on GitHub

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