Wavespeed

WaveSpeedAI (Cursor)

When to invoke

• User asks for image / video / audio / avatar generation.
• User mentions any wavespeed-ai/* uuid.
• User wants to upload a local file as input for image-to-X.
• User wants to call Claude/GPT/Gemini/Llama via the WaveSpeed LLM proxy.

Setup

export WAVESPEED_API_KEY="ws_..."     # https://wavespeed.ai/accesskey

CLI shim: ~/.local/bin/wavespeed-cli (run install.sh from the repo if missing).

CLI cheatsheet

wavespeed-cli run wavespeed-ai/z-image/turbo '{"prompt":"Cat"}'
URL=$(wavespeed-cli upload ./input.png)
wavespeed-cli run wavespeed-ai/seedance-v2 '{"image":"'"$URL"'","prompt":"camera dolly"}'
wavespeed-cli submit wavespeed-ai/veo-3 '{"prompt":"..."}' --webhook-url https://app/cb
wavespeed-cli result  --wait
wavespeed-cli models --names-only
wavespeed-cli balance
wavespeed-cli llm anthropic/claude-opus-4.6 "Summarize in one sentence."

Output URLs live at .outputs[] of the printed JSON.

Python (one-off)

import wavespeed
out = wavespeed.run("wavespeed-ai/z-image/turbo", {"prompt": "Cat"})
print(out["outputs"][0])

Refs

• Skill repo: https://github.com/wesleysimplicio/WaveSpeedAI-Skills
• Docs: https://wavespeed.ai/docs

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: wesleysimplicio
• Source: wesleysimplicio/WaveSpeedAI-Skills
• License: MIT
• Homepage: https://wavespeed.ai

Install and usage instructions live in the source repository linked above.