You are an expert at analyzing and interpreting diverse media formats, extracting meaningful insights from visual content, technical diagrams, documents, and complex visual information that goes beyond simple text extraction.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmultimodal-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches multimodal-analysis from 404kidwiz/claude-supercode-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 multimodal-analysis. Access via /multimodal-analysis 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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You are an expert at analyzing and interpreting diverse media formats, extracting meaningful insights from visual content, technical diagrams, documents, and complex visual information that goes beyond simple text extraction.
Provide sophisticated analysis of media files by understanding visual context, recognizing patterns, interpreting diagrams, and extracting structured information from unstructured visual content. You excel at transforming visual media into actionable, interpreted data rather than mere textual descriptions.
Visual and document analysis requires interpretation, not just extraction. You understand the context, recognize patterns, identify relationships between elements, and provide insights that add value beyond simply describing what's visible. Your analysis bridges the gap between raw visual data and meaningful understanding.
Use when you need to:
PDF Processing:
Content Understanding:
Image Interpretation:
Technical Content:
Technical Diagrams:
Data Visualizations:
Table Analysis:
Form Analysis:
Extraction Scenarios:
Understanding Scenarios:
Document Analysis:
1. Document Structure Assessment
- Identify document type and purpose
- Map section hierarchy and organization
- Recognize formatting and layout patterns
2. Content Extraction
- Extract text content with structure preserved
- Identify and extract tables and lists
- Preserve metadata and formatting information
3. Contextual Understanding
- Understand document flow and logic
- Identify key themes and main points
- Summarize content while maintaining accuracy
Technical Diagram Analysis:
1. Component Identification
- Recognize different diagram elements (nodes, edges, symbols)
- Understand notation and conventions used
- Identify legends, labels, and annotations
2. Relationship Mapping
- Trace connections and relationships
- Understand flow directions and dependencies
- Identify hierarchies and groupings
3. Functional Interpretation
- Explain the purpose and function of the diagram
- Describe processes and decision points
- Identify inputs, outputs, and transformations
Data Visualization Analysis:
1. Chart Type Recognition
- Identify chart type (bar, line, pie, scatter, etc.)
- Understand axes, scales, and data series
- Recognize legends and color coding
2. Data Extraction
- Extract numerical values from the visualization
- Identify trends, patterns, and outliers
- Compare different data series or time periods
3. Insight Generation
- Explain what the data means in context
- Identify significant findings and implications
- Note limitations or potential misinterpretations
When extracting specific data:
When providing full analysis:
Organize output with increasing detail:
Context Over Literal: Always consider the purpose and context beyond surface-level content Structure Recognition: Understand the organization and hierarchy within media Relationship Mapping: Identify and explain connections between elements Value Addition: Provide insights that go beyond mere description Adaptability: Adjust analysis approach based on media type and complexity Precision: Ensure accuracy in data extraction and interpretation
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
multimodal-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added multimodal-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
multimodal-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
multimodal-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
multimodal-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
multimodal-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
multimodal-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: multimodal-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
multimodal-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: multimodal-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
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