vision-analysis
Analyze, describe, and extract information from images using the MiniMax vision MCP tool
Install / Use
npx skills add MiniMax-AI/skills --skill vision-analysisInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of vision-analysis
vision-analysis scores 86/100 on our quality scale, 1092nd of 2,569 Development & Engineering skills we index (top 43%).
Its SKILL.md is 5.3 KB long, well organised into 16 sections with 11 code examples: a solid amount of guidance for an agent.
With 13,641 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 98/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
vision-analysis compared with similar skills
All 4 of these similar skills score higher than vision-analysis; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| vision-analysis (this skill)by MiniMax-AI | 86 | 13.6k | 5mo ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.9k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install vision-analysis?
- Run
npx skills add MiniMax-AI/skills --skill vision-analysis. The install tabs above show the steps for each supported agent. - Which AI agents does vision-analysis work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is vision-analysis safe to use?
- It is MIT-licensed and scores 98/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is vision-analysis still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: vision-analysis description: > Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file extension) or uses any of these words/phrases near an image: "analyze", "analyse", "describe", "explain", "understand", "look at", "review", "extract text", "OCR", "what is in", "what's in", "read this image", "see this image", "tell me about", "explain this", "interpret this", in connection with an image, screenshot, diagram, chart, mockup, wireframe, or photo. Also triggers for: UI mockup review, wireframe analysis, design critique, data extraction from charts, object detection, person/animal/activity identification. Triggers: any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg), or any request to analyze/describ/understand/review/extract text from an image, screenshot, diagram, chart, photo, mockup, or wireframe. license: MIT metadata: version: "1.0" category: ai-vision sources: - MiniMax Token Plan MCP (understand_image tool)
Vision Analysis
Analyze images using the MiniMax MiniMax_understand_image MCP tool available in the MiniMax Token Plan.
Prerequisites
- MiniMax Token Plan subscription with valid
MINIMAX_API_KEY - MiniMax MCP configured (
MiniMax_understand_imagetool available)
If MCP tool is not configured
Step 1: The agent should fetch setup instructions from: https://platform.minimaxi.com/docs/token-plan/mcp-guide
Step 2: Detect the user's environment (OpenCode, Cursor, Claude Code, etc.) and output the exact commands needed. Common examples:
OpenCode — add to ~/.config/opencode/opencode.json or package.json:
{
"mcp": {
"MiniMax": {
"type": "local",
"command": ["uvx", "minimax-coding-plan-mcp", "-y"],
"environment": {
"MINIMAX_API_KEY": "YOUR_TOKEN_PLAN_KEY",
"MINIMAX_API_HOST": "https://api.minimaxi.com"
},
"enabled": true
}
}
}
Claude Code:
claude mcp add -s user MiniMax --env MINIMAX_API_KEY=your-key --env MINIMAX_API_HOST=https://api.minimaxi.com -- uvx minimax-coding-plan-mcp -y
Cursor — add to MCP settings:
{
"mcpServers": {
"MiniMax": {
"command": "uvx",
"args": ["minimax-coding-plan-mcp"],
"env": {
"MINIMAX_API_KEY": "your-key",
"MINIMAX_API_HOST": "https://api.minimaxi.com"
}
}
}
}
Step 3: After configuration, tell the user to restart their app and verify with /mcp.
Important: If the user does not have a MiniMax Token Plan subscription, inform them that the understand_image tool requires one — it cannot be used with free or other tier API keys.
Analysis Modes
| Mode | When to use | Prompt strategy |
|---|---|---|
| describe | General image understanding | Ask for detailed description |
| ocr | Text extraction from screenshots, documents | Ask to extract all text verbatim |
| ui-review | UI mockups, wireframes, design files | Ask for design critique with suggestions |
| chart-data | Charts, graphs, data visualizations | Ask to extract data points and trends |
| object-detect | Identify objects, people, activities | Ask to list and locate all elements |
Workflow
Step 1: Auto-detect image
The skill triggers automatically when a message contains an image file path or URL with extensions:
.jpg, .jpeg, .png, .gif, .webp, .bmp, .svg
Extract the image path from the message.
Step 2: Select analysis mode and call MCP tool
Use the MiniMax_understand_image tool with a mode-specific prompt:
describe:
Provide a detailed description of this image. Include: main subject, setting/background,
colors/style, any text visible, notable objects, and overall composition.
ocr:
Extract all text visible in this image verbatim. Preserve structure and formatting
(headers, lists, columns). If no text is found, say so.
ui-review:
You are a UI/UX design reviewer. Analyze this interface mockup or design. Provide:
(1) Strengths — what works well, (2) Issues — usability or design problems,
(3) Specific, actionable suggestions for improvement. Be constructive and detailed.
chart-data:
Extract all data from this chart or graph. List: chart title, axis labels, all
data points/series with values if readable, and a brief summary of the trend.
object-detect:
List all distinct objects, people, and activities you can identify. For each,
describe what it is and its approximate location in the image.
Step 3: Present results
Return the analysis clearly. For describe, use readable prose. For ocr, preserve structure. For ui-review, use a structured critique format.
Output Format Example
For describe mode:
## Image Description
[Detailed description of the image contents...]
For ocr mode:
## Extracted Text
[Preserved text structure from the image]
For ui-review mode:
## UI Design Review
### Strengths
- ...
### Issues
- ...
### Suggestions
- ...
Notes
- Images up to 20MB supported (JPEG, PNG, GIF, WebP)
- Local file paths work if MiniMax MCP is configured with file access
- The
MiniMax_understand_imagetool is provided by theminimax-coding-plan-mcppackage
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
