Analyze images using Gemini's vision capabilities for OCR, UI analysis, and visual understanding.
Works with
Supports PNG, JPEG, GIF, and WebP images including screenshots, diagrams, charts, and code snippets
Built-in analysis templates for common tasks: text extraction, code recovery, UI/UX feedback, error diagnosis, and data extraction from charts
Handles single and multiple image comparisons in a single request
Requires Google Generative AI library and valid GEMINI_API_KEY environment var
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongemini-imageExecute the skills CLI command in your project's root directory to begin installation:
Fetches gemini-image from johnlindquist/claude 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 gemini-image. Access via /gemini-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.
Submit your Claude Code skill and start earning
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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Analyze images using Gemini Pro's vision capabilities.
pip install google-generativeai
export GEMINI_API_KEY=your_api_key
# Analyze an image
gemini -m pro -f /path/to/image.png "Describe this image in detail"
# With specific question
gemini -m pro -f screenshot.png "What error message is shown?"
# Multiple images
gemini -m pro -f image1.png -f image2.png "Compare these two images"
gemini -m pro -f image.png "Describe this image comprehensively:
1. Main subject/content
2. Colors and composition
3. Text visible (if any)
4. Context and purpose
5. Notable details"
gemini -m pro -f screenshot.png "Extract all text from this image.
Format as plain text, preserving layout where possible.
Include any text in buttons, labels, or UI elements."
gemini -m pro -f code-screenshot.png "Extract the code from this screenshot.
Provide as properly formatted code with correct indentation.
Note any parts that are unclear or partially visible."
gemini -m pro -f ui-screenshot.png "Analyze this UI:
1. What application/website is this?
2. What page/screen is shown?
3. Main UI elements and their purpose
4. User flow/actions available
5. Any UX issues or suggestions"
gemini -m pro -f error-screenshot.png "Analyze this error:
1. What error is shown?
2. What is the likely cause?
3. How to fix it?
4. Any related information visible?"
gemini -m pro -f diagram.png "Explain this diagram:
1. What type of diagram is this?
2. Main components and their relationships
3. Data/process flow
4. Key takeaways"
gemini -m pro -f debug-screen.png "I'm debugging an issue. From this screenshot:
1. What is the current state?
2. What errors or warnings are visible?
3. What should I look at?
4. Suggested next steps"
gemini -m pro -f before.png -f after.png "Compare these before and after images:
1. What changed?
2. Is this an improvement?
3. Any issues in the 'after' version?
4. Anything missing?"
gemini -m pro -f design.png "Provide design feedback:
1. Visual hierarchy
2. Color usage
3. Typography
4. Spacing and alignment
5. Accessibility concerns
6. Suggestions for improvement"
gemini -m pro -f chart.png "Extract data from this chart:
1. Chart type
2. Data series and values
3. Axes labels and ranges
4. Key trends or insights
5. Output as structured data if possible"
gemini -m pro -f form.png "Analyze this form:
1. Form purpose
2. Fields and their types
3. Required vs optional
4. Validation rules visible
5. UX suggestions"
# Capture screenshot (macOS)
screencapture -i /tmp/bug.png
# Analyze and format as issue
gemini -m pro -f /tmp/bug.png "Create a bug report from this screenshot:
## Summary
[One-line description]
## Steps to Reproduce
[Inferred from screenshot]
## Expected Behavior
[What should happen]
## Actual Behavior
[What the screenshot shows]
## Environment
[Any visible system info]"
gemini -m pro -f ui-design.png "Generate React component code that recreates this UI:
- Use Tailwind CSS for styling
- Make it responsive
- Include proper TypeScript types
- Add appropriate accessibility attributes"
gemini -m pro -f app-screen.png "Write user documentation for this screen:
- What this screen is for
- How to use each feature
- Common tasks
- Tips and notes"
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
mattpocock/skills
I recommend gemini-image for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
gemini-image has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: gemini-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added gemini-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for gemini-image matched our evaluation — installs cleanly and behaves as described in the markdown.
gemini-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
gemini-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
gemini-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: gemini-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
gemini-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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