Batch Processing with Gemini

When to Use This Skill

Automatically invoke this skill when:

• User needs to process multiple files with the same operation
• Task involves classification of many items
• Extracting specific information from multiple documents
• Analyzing a collection of similar files
• User requests batch operations on images, CSVs, PDFs, or code files

Examples That Trigger This Skill

• "Classify all images in this folder"
• "Extract key points from all meeting notes"
• "Summarize each customer feedback file"
• "Find potential issues in all code files"
• "Analyze sentiment in all review documents"
• "Generate descriptions for all product images"

How to Use

1. Parse request: Identify the file pattern and operation
2. Find files: Use Glob to locate all matching files
3. Process each file:
   • Read file content
   • Determine appropriate Gemini tool (analyze_visual for images, process_long_context or gemini_query for text)
   • Call Gemini with the operation prompt
   • Collect result
4. Aggregate results: Combine outputs with file-by-file breakdown
5. Create summary: Identify patterns or insights across all results
6. Optional: Save results to file if user requests

Tool Selection

• Images/Videos: Use analyze_visual tool
• Text files < 50K tokens each: Use gemini_query tool
• Text files > 50K tokens: Use process_long_context tool
• Mixed content: Adapt per file type

Output Format

Structure results clearly:

# Batch Processing Results

**Files Processed**: X
**Operation**: [description]
**Timestamp**: YYYY-MM-DD HH:MM

## Results by File

### filename1.ext
[Gemini's response for this file]

### filename2.ext
[Gemini's response for this file]

## Aggregate Analysis

[Overall patterns, common themes, summary insights]

Capabilities

• Parallel Processing: Can process multiple files efficiently
• Mixed Content Types: Handle images, text, code, data files
• Structured Output: Generate organized results for easy review
• Pattern Detection: Identify trends across batch
• Export Options: Save results to CSV, JSON, or Markdown

Best Practices

• Show progress to user ("Processing file 5 of 20...")
• Use gemini-1.5-flash for speed when processing many files
• Batch similar file types together when possible
• Create clear result structure for easy navigation
• Offer to save results to file for large batches
• Provide aggregate summary in addition to individual results

Error Handling

• Continue processing remaining files if one fails
• Report errors clearly with file name
• Provide partial results even if some files fail
• Suggest fixes for common errors (unsupported format, file not found)

Example Workflow

User: "Classify all images in screenshots/ folder"

1. Glob: screenshots/*.{jpg,png}
2. Found: 15 images
3. For each image:
   - analyze_visual(file_path, "Classify this image: UI mockup, diagram, screenshot, or other")
4. Collect all classifications
5. Summary: "10 UI mockups, 3 diagrams, 2 screenshots"
6. Present structured results