# Wavespeed

> WaveSpeedAI inference gateway — 700+ media models and 290+ OpenAI-compatible LLMs through one API key. Use for AI media generation (image/video/audio/avatar) and for cheap proxied LLM calls (Claude/GPT/Gemini/Llama).

- **Type:** Skill
- **Install:** `agentstack add skill-wesleysimplicio-wavespeedai-skills-cursor`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [wesleysimplicio](https://agentstack.voostack.com/s/wesleysimplicio)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [wesleysimplicio](https://github.com/wesleysimplicio)
- **Source:** https://github.com/wesleysimplicio/WaveSpeedAI-Skills/tree/main/agents/cursor
- **Website:** https://wavespeed.ai

## Install

```sh
agentstack add skill-wesleysimplicio-wavespeedai-skills-cursor
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

```bash
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

```bash
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)

```python
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](https://github.com/wesleysimplicio)
- **Source:** [wesleysimplicio/WaveSpeedAI-Skills](https://github.com/wesleysimplicio/WaveSpeedAI-Skills)
- **License:** MIT
- **Homepage:** https://wavespeed.ai

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-wesleysimplicio-wavespeedai-skills-cursor
- Seller: https://agentstack.voostack.com/s/wesleysimplicio
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.