A professional configuration guide to empower the Claude Code CLI with the high-performance MiniMax-M2.5 language model for advanced AI programming.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claude-code-minimax
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install claude-code-minimax using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Claude Code + MiniMax-M2.5 Integration?
This skill provides a comprehensive bridge between Anthropic's Claude Code and the MiniMax-M2.5 model, enabling developers to use a localized, high-speed LLM for complex software engineering tasks. By utilizing Openclaw Skills, developers can bypass default API constraints and leverage MiniMax-M2.5 for reading and writing code, executing terminal commands, and managing project-wide refactoring.
Whether you are looking for region-specific model performance or cost-effective alternatives to standard backends, this integration ensures that your AI coding agent remains highly capable within a professional CLI environment.
Claude Code + MiniMax-M2.5 Integration Use Cases
- Generating complex Python scripts for data processing and automation.
- Real-time debugging by providing error logs directly to the AI agent.
- Performing project-wide code quality audits and architectural refactoring.
- Writing unit tests for critical source files automatically.
- Initializing new project templates for React, TypeScript, and other modern frameworks.
How Claude Code + MiniMax-M2.5 Integration Works
- The user navigates to their project directory and initializes the AI agent.
- The system requests folder-level permissions to ensure secure file manipulation.
- All natural language prompts are routed through the configured MiniMax-M2.5 endpoint using the Anthropic-compatible API layer.
- The agent analyzes the local codebase and proposes specific modifications or terminal commands.
- The developer reviews the proposed changes and confirms execution with a single keystroke.
Claude Code + MiniMax-M2.5 Integration Setup
There are three primary ways to configure this integration as part of your Openclaw Skills workflow:
Option 1: Using cc-switch (Recommended)
Install the visual configuration tool to manage API keys easily:
# macOS / Linux
brew tap farion1231/ccswitch
brew install --cask cc-switch
- Launch cc-switch and add a new MiniMax configuration.
- Set the model name to MiniMax-M2.5.
- Enable the configuration and ensure
~/.claude.jsonhas{"hasCompletedOnboarding": true}.
Option 2: Manual Configuration
Edit ~/.claude/settings.json and include the following environment mapping:
{
"env": {
"ANTHROPIC_BASE_URL": "https://api.minimaxi.com/anthropic",
"ANTHROPIC_AUTH_TOKEN": "YOUR_MINIMAX_API_KEY",
"ANTHROPIC_MODEL": "MiniMax-M2.5"
}
}
Claude Code + MiniMax-M2.5 Integration Data Schema & Taxonomy
The skill manages its operational state and model routing through specific local files and environment variables:
| File Path | Purpose |
|---|---|
~/.claude/settings.json |
Stores environment variables like ANTHROPIC_BASE_URL and model mappings. |
~/.claude.json |
Flag for onboarding status to bypass initial CLI prompts. |
| Environment Variables | Overrides file settings for API_TIMEOUT_MS and security traffic filters. |
Claude Code + MiniMax-M2.5 Integration Advanced Features
- Universal model aliasing: Redirects all Claude sub-models (Sonnet, Opus, Haiku) to MiniMax-M2.5 for consistent behavior.
- Visual API switching: Rapidly toggle between different AI providers using cc-switch integration.
- VS Code Extension support: Seamlessly inject MiniMax environment variables into the VS Code integrated terminal.
- Verbose debugging mode: Execute
claude --verboseto inspect raw API traffic and model reasoning chains. - High-latency optimization: Configurable
API_TIMEOUT_MSup to 3000s for massive code generation tasks.
SKILL.md
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