Minimax Understand Image
This connects Claude to MiniMax's image understanding API through their MCP server. You can analyze images from local paths or URLs by asking questions about them in natural language, like "describe what's in this image" or "what objects do you see here." The skill handles the full setup workflow including uvx installation, API key configuration through environment variables or a config file, and provides a Python script that communicates with the MCP server over stdio. It's aimed at Chinese developers based on the bilingual documentation and includes mirror options for PyPI package installation. Worth noting that you need a MiniMax subscription to use it, and the setup is a bit involved for first-time use though subsequent calls are straightforward.
- skills.sh installs
- 372
- GitHub stars
- 1
- last updated
- Aug 21, 2026
Install
$ npx -y skills add thincher/awsome_skills --skill minimax-understand-image --agent claude-codeInstalls into .claude/skills of the current project.
Files
minimax-understand-image
使用 MiniMax MCP 服务器进行图像理解和分析。
执行流程（首次需要安装，后续直接步骤4调用）
步骤 1: 检查并安装依赖
1.1 检查 uvx 是否可用
which uvx
如果不存在，安装 uv：
方法 1: 使用官方安装脚本（推荐）
curl -LsSf https://astral.sh/uv/install.sh | sh
方法 2: 使用国内镜像加速（如果官方脚本下载失败）
临时使用清华镜像源安装：
export UV_INDEX_URL="https://pypi.tuna.tsinghua.edu.cn/simple"
curl -LsSf https://astral.sh/uv/install.sh | sh
或者临时使用阿里云镜像源：
export UV_INDEX_URL="https://mirrors.aliyun.com/pypi/simple/"
curl -LsSf https://astral.sh/uv/install.sh | sh
1.2 检查 MCP 服务器是否已安装
uvx minimax-coding-plan-mcp --help
执行命令判断是否MCP服务器已安装， 如果安装了跳到步骤 2。
1.3 安装 MCP 服务器（如果未安装）
方法 1: 使用默认源安装
uvx install minimax-coding-plan-mcp
方法 2: 使用国内镜像加速（如果默认源下载失败）
临时使用清华镜像源：
export UV_INDEX_URL="https://pypi.tuna.tsinghua.edu.cn/simple"
uvx install minimax-coding-plan-mcp
或者临时使用阿里云镜像源：
export UV_INDEX_URL="https://mirrors.aliyun.com/pypi/simple/"
uvx install minimax-coding-plan-mcp
步骤 2: 检查 API Key 配置
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- Repository
- github.com/thincher/awsome_skills
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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