multi-modal
Multi-modal prompting with vision, audio, and document understanding
When & Why to Use This Skill
This Claude skill enables advanced multi-modal prompting capabilities, allowing users to seamlessly integrate and analyze vision, audio, and document inputs. By providing structured templates for image interpretation, PDF data extraction, and audio transcription enhancement, it optimizes how AI agents handle non-textual data for higher accuracy and richer insights.
Use Cases
- Automated Invoice and Form Extraction: Convert scanned PDF invoices or forms into structured JSON data, identifying key fields like vendors, dates, and line items.
- Visual Data and Chart Analysis: Interpret complex graphs, charts, and technical diagrams to extract trends, data points, and actionable business insights.
- Enhanced Audio Intelligence: Process audio files to generate accurate transcriptions with speaker identification, timestamps, and summarized action items.
- Multi-page Document Summarization: Analyze lengthy documents and PDFs to extract specific information or provide high-level summaries of complex layouts.
| name | multi-modal |
|---|---|
| description | Multi-modal prompting with vision, audio, and document understanding |
| sasmp_version | "1.3.0" |
| bonded_agent | 07-advanced-techniques-agent |
| bond_type | PRIMARY_BOND |
Multi-Modal Prompting Skill
Bonded to: advanced-techniques-agent
Quick Start
Skill("custom-plugin-prompt-engineering:multi-modal")
Parameter Schema
parameters:
modality:
type: enum
values: [vision, document, audio, video]
required: true
task_type:
type: enum
values: [analysis, extraction, generation, qa]
default: analysis
detail_level:
type: enum
values: [low, medium, high]
default: medium
Vision Prompting
Image Analysis Template
Analyze this image and provide:
1. Main subjects and objects
2. Actions or activities
3. Setting and context
4. Notable details
5. Overall interpretation
Be specific and descriptive.
Visual Q&A Pattern
Look at the image carefully.
Question: {question}
Provide a detailed answer based only on what you can see in the image.
Chart/Graph Analysis
Analyze this chart/graph:
1. Type of visualization
2. Axes and labels
3. Key data points
4. Trends or patterns
5. Main insights
6. Limitations or caveats
Document Processing
PDF Extraction
Extract the following from this document:
- Title and headers
- Key information: {fields}
- Tables (if any)
- Important dates/numbers
Output as structured JSON.
Form/Invoice Processing
extraction_schema:
document_type: "invoice|form|contract"
fields:
- name: vendor
type: string
- name: date
type: date
- name: total
type: currency
- name: line_items
type: array
Audio Integration
Transcription Enhancement
Transcribe and enhance:
1. Accurate transcription
2. Speaker identification
3. Timestamps for key points
4. Summary of main topics
5. Action items (if applicable)
Best Practices
best_practices:
image_prompts:
- Be specific about what to look for
- Request structured output
- Ask for confidence levels
document_prompts:
- Define extraction schema
- Handle multi-page documents
- Validate extracted data
audio_prompts:
- Specify language if known
- Request speaker diarization
- Ask for timestamps
Troubleshooting
| Issue | Cause | Solution |
|---|---|---|
| Hallucinated details | Over-interpretation | Ask for visible-only info |
| Missed text in images | Low resolution | Request higher detail |
| Wrong document parsing | Complex layout | Break into sections |
| Inaccurate transcription | Audio quality | Acknowledge limitations |
References
See: GPT-4V documentation, Claude Vision Guide