A high-performance utility providing real-time web search and Vision Language Model (VLM) capabilities via the MiniMax Coding Plan API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minimax-coding-plan-tool-patched
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install minimax-coding-plan-tool-patched using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MiniMax Coding Plan Tool is a specialized integration designed to empower AI agents with real-time external data and visual intelligence. By utilizing the api.minimax.io endpoint, this tool allows developers to bypass the need for external MCP servers, providing a streamlined path to advanced model capabilities. It is a vital addition to the library of Openclaw Skills for developers needing reliable search and image analysis.
This tool specifically targets the MiniMax Coding Plan API keys (sk-cp-* format), ensuring compatibility with the latest enterprise features from MiniMax. Whether you are building an agent that needs to verify current documentation or interpret visual UI components, this skill provides the necessary bridge.
First, ensure you have Node.js installed on your system. You will also need a MiniMax Coding Plan API key (starting with sk-cp-).
Configure the API key using the Openclaw CLI:
openclaw config set skills.entries.minimax-coding-plan-tool.env.MINIMAX_API_KEY "sk-cp-xxx"
Alternatively, manually update your openclaw.json file:
"skills": {
"entries": {
"minimax-coding-plan-tool": {
"env": { "MINIMAX_API_KEY": "sk-cp-xxx" }
}
}
}
The skill manages data through standard environment variables and temporary buffers for image processing:
| Attribute | Type | Description |
|---|---|---|
| MINIMAX_API_KEY | Env Var | Required authentication key (sk-cp-* format) |
| web_search | Function | Accepts a string query and returns web snippets |
| understand_image | Function | Accepts path/URL and prompt; returns text description |
| Image Handling | Buffer | Local files are auto-converted to Base64 before transmission |
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