wavespeed-dsh-skill
Run the following command in DeepSeek Harness:
dsh plugin install WaveSpeedAI/wavespeed-dsh-skill
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install WaveSpeedAI/wavespeed-dsh-skill in your DeepSeek Harness terminal to install the plugin; full source is available at https://github.com/WaveSpeedAI/wavespeed-dsh-skill
About this plugin
When a DeepSeek Harness agent needs to generate or edit images, videos, audio, or 3D assets, it often lacks a smooth calling pipeline. wavespeed-dsh-skill fills that gap by connecting the agent directly to the WaveSpeed platform, turning model discovery, schema inspection, and generation into a single natural workflow.
Under the hood the skill builds on the open-source @wavespeed/cli, where every model on the platform is one wavespeed run call. The agent follows a find → inspect → run pattern: browse the live catalog, read a target model's input schema, fill in parameters, and execute. Local files can be uploaded with the @path marker, and the skill also covers project aliases (wavespeed.json), price and balance checks, and prediction history—letting the agent go from model selection to final output in a single conversation.
If you are building creative pipelines in DeepSeek Harness, or want other agents such as Claude Code, Cursor, and Codex to tap into WaveSpeed's media generation capabilities, this skill drops in seamlessly. It ships under the MIT license, consistent with the CLI, and can be committed to a shared repository for team-wide use.
Use Cases
- Browse the WaveSpeed catalog in conversation, pick an image or video model, and generate in one step
- Upload local assets with the @path marker so the agent can iterate on 3D or audio before final render
- Check account balance and prediction history to help the team estimate media generation costs
Best For
- Developers building creative pipelines inside DeepSeek Harness
- Teams that want Claude Code, Cursor, and Codex agents to share one media-generation skill
- Engineers embedding AI image, video, or audio generation into agentic workflows
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