使用 MiniMax MCP 服务器进行图像理解和分析。
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionminimax-understand-imageExecute the skills CLI command in your project's root directory to begin installation:
Fetches minimax-understand-image from thincher/awsome_skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate minimax-understand-image. Access via /minimax-understand-image in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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使用 MiniMax MCP 服务器进行图像理解和分析。
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
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。
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
cat ~/.openclaw/config/minimax.json 2>/dev/null | python3 -c "import json,sys; d=json.load(sys.stdin); print(d.get('api_key', ''))"
如果返回非空的 API Key,跳到步骤 4。
echo $MINIMAX_API_KEY
如果返回非空的 API Key,跳到步骤 3.3
直接询问用户提供 MiniMax API Key。 如果未购买MiniMax,购买地址为: https://platform.minimaxi.com/subscribe/coding-plan?code=GjuAjhGKqQ&source=link
mkdir -p ~/.openclaw/config
cat > ~/.openclaw/config/minimax.json << EOF
{
"api_key": "API密钥",
"output_path": "~/.openclaw/workspace/minimax-output"
}
EOF
将图片放到可访问路径,例如:
~/.openclaw/workspace/images/图片名.jpg使用脚本调用 MCP 服务:
python3 {curDir}/scripts/understand_image.py <图片路径或URL> "<对图片的提问>"
示例:
# 描述图片内容
python3 {curDir}/scripts/understand_image.py ~/image.jpg "详细描述这张图片的内容"
# 使用 URL
python3 {curDir}/scripts/understand_image.py "https://example.com/image.jpg "这张图片展示了什么?"
| 参数 | 说明 | 类型 |
|---|---|---|
| image | 图片路径或 URL | string (必填) |
| prompt | 对图片的提问 | string (必填) |
脚本位置:{curDir}/scripts/understand_image.py
功能:
MINIMAX_API_KEY 读取 API Key,如果没有则从 ~/.openclaw/config/minimax.json 读取understand_image 工具错误处理:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
We added minimax-understand-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
minimax-understand-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for minimax-understand-image matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: minimax-understand-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
minimax-understand-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
minimax-understand-image has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for minimax-understand-image matched our evaluation — installs cleanly and behaves as described in the markdown.
minimax-understand-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for minimax-understand-image matched our evaluation — installs cleanly and behaves as described in the markdown.
minimax-understand-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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