Start a fresh conversation. Replace the highlighted placeholders.
Use modellix to generate [asset type and prompt] using [source media if applicable] and save it to [output path]; before any paid submission, disclose the provider, model, data leaving the machine, expected cost, and overwrite policy, then obtain my explicit approval.
Required inputs
[asset type and prompt]
[source media if applicable]
[output path]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: modellixdescription: "Integrate the Modellix API/CLI for async AI image, video, and speech generation or transcription (model run --wait, task download)."category: creativerisk: criticalsource: communitysource_repo: Modellix/modellix-pluginsource_type: officialdate_added: "2026-07-16"author: Modellixtags: [image-generation, video-generation, audio-generation, text-to-speech, speech-to-text, speech-to-speech, modellix, cli, api]tools: [claude, cursor, gemini]license: "MIT"license_source: "https://github.com/Modellix/modellix-plugin/blob/main/LICENSE"
Modellix
Overview
Modellix is a Model-as-a-Service platform for AI image, video, and speech generation or transcription. This skill teaches agents to use the official modellix-cli workflow (doctor → model run --wait → task download).
modellix-cli model run \
--model-slug google/nano-banana-2-lite \
--body '{"prompt":"A cinematic sunset over a futuristic city"}' \
--wait --timeout 5m --json
Text-to-video
modellix-cli model run \
--model-slug bytedance/seedance-2.0-mini-t2v \
--body '{"prompt":"Ocean waves under a cloudy sunset"}' \
--wait --timeout 10m --json
Text-to-speech
modellix-cli model run \
--model-slug alibaba/qwen-audio-3.0-tts-flash \
--body '{"text":"There is a large garden behind my house.","voice":"longanhuan_v3.6"}' \
--wait --timeout 5m --json
Speech-to-text
modellix-cli model run \
--model-slug openai/whisper-1 \
--body '{"url":"https://example.com/meeting.mp3"}' \
--wait --timeout 5m --json
Speech-to-speech
modellix-cli model run \
--model-slug alibaba/cosyvoice-clone \
--body '{"model":"cosyvoice-v3.5-plus","url":"https://example.com/reference.wav","text":"There is a large garden behind my house."}' \
--wait --timeout 5m --json
Best Practices
Prefer CLI model run --wait over hand-rolled polling
Before a paid submission, disclose the provider, model, prompt or source media that will leave the machine, expected cost, and output path; obtain explicit user approval
Prefer session-scoped API-key use; run modellix-cli auth login only when the user approves persistent local credential storage
Do not blindly retry paid submissions after unknown outcomes — check task history
Confirm the destination and overwrite policy before task download; never replace an existing file without explicit approval
Download results before they expire; hosted result URLs are retained for about 7 days