Use this skill when you need to analyze, describe, or extract information from images.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionminimax-image-understandingExecute the skills CLI command in your project's root directory to begin installation:
Fetches minimax-image-understanding from imsus/pi-extension-minimax-coding-plan-mcp 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-image-understanding. Access via /minimax-image-understanding 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
1
total installs
1
this week
3
GitHub stars
0
upvotes
Run in your terminal
1
installs
1
this week
3
stars
Use this skill when you need to analyze, describe, or extract information from images.
Call the understand_image tool directly with a prompt and image URL:
understand_image({
prompt: "Your question about the image",
image_url: "https://example.com/image.png"
})
Use understand_image when:
Do NOT use understand_image when:
understand_image({
prompt: "What do you see in this image?",
image_url: "https://example.com/screenshot.png"
})
Endpoint: POST {api_host}/v1/coding_plan/vlm
Request Body:
{
"prompt": "Your question about the image",
"image_url": "data:image/jpeg;base64,/9j/4AAQ..."
}
Response Format:
{
"content": "AI analysis of the image...",
"base_resp": {
"status_code": 0,
"status_msg": "success"
}
}
The tool automatically handles three types of image inputs:
HTTP/HTTPS URLs: Downloads the image and converts to base64
https://example.com/image.jpgLocal file paths: Reads local files and converts to base64
/Users/username/Documents/image.pngimages/photo.png@ prefix if presentBase64 data URLs: Passes through existing base64 data
data:image/png;base64,iVBORw0KGgo...Supported:
Not supported:
understand_image({
prompt: "What is the error message and where is it located in this screenshot?",
image_url: "./error-screenshot.png"
})
understand_image({
prompt: "What code is shown in this screenshot? Please transcribe it exactly.",
image_url: "https://example.com/code.png"
})
understand_image({
prompt: "Analyze this UI design. What is working well and what could be improved?",
image_url: "https://example.com/mockup.png"
})
understand_image({
prompt: "Extract all text from this image",
image_url: "/Users/username/Documents/scan.png"
})
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
minimax-image-understanding has been reliable in day-to-day use. Documentation quality is above average for community skills.
minimax-image-understanding reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend minimax-image-understanding for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
minimax-image-understanding has been reliable in day-to-day use. Documentation quality is above average for community skills.
minimax-image-understanding reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend minimax-image-understanding for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in minimax-image-understanding — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend minimax-image-understanding for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in minimax-image-understanding — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
minimax-image-understanding reduced setup friction for our internal harness; good balance of opinion and flexibility.
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