Batch-Processor Skill

Purpose

Process multiple validated assets simultaneously. Input: array of 3-5 asset paths. Output: complete packages in parallel. Eliminates sequential bottleneck.

Input

{
  "batch_id": "batch-theatrical-specimens",
  "assets": [
    {
      "asset_id": "ASSET-3",
      "path": "/downloads/asset-3-validated.png",
      "score": 92,
      "specs": {...}
    },
    {
      "asset_id": "ASSET-4",
      "path": "/downloads/asset-4-validated.png",
      "score": 94,
      "specs": {...}
    },
    {
      "asset_id": "ASSET-6",
      "path": "/downloads/asset-6-validated.png",
      "score": 91,
      "specs": {...}
    }
  ]
}

Parallel Operations

1. IDF Extraction (Flash-Sidekick)

# Parallel calls
results = await Promise.all([
    flash_sidekick.generate_idf(asset_3_png),
    flash_sidekick.generate_idf(asset_4_png),
    flash_sidekick.generate_idf(asset_6_png)
])
# Returns in 5-8 seconds vs 15-20 serial

2. Package Generation Template-based parallel creation:

• context.md × 3 assets
• tokens.json × 3 assets
• usage.md × 3 assets

3. Directory Creation

mkdir -p /assets/ASSET-{3,4,6}-*/

4. File Copy Operations Parallel cp commands:

cp asset-3.png /frontend/public/assets/patterns/ &
cp asset-4.png /frontend/public/assets/specimens/ &
cp asset-6.png /frontend/public/assets/specimens/ &
wait

5. Single Consolidated Commit

git add /assets/ASSET-{3,4,6}-* /frontend/public/assets/*
git commit -m "feat(assets): Add batch theatrical specimens - Assets 3,4,6"

Workflow

1. Receive array of validated assets
2. Spawn parallel IDF extraction (Flash-Sidekick)
3. Generate packages using templates
4. Execute batch file operations
5. Single git commit
6. Report completion metrics

Integration

Flash-Sidekick:

• batch_file_analysis

  for parallel IDF extraction
• Returns aggregated results JSON

Asset-Packager:

• Batch mode trigger
• Receives array instead of single asset

Codex CLI:

• Executes batch file operations
• Handles git operations

Efficiency Gain

Sequential (3 assets):

• IDF extraction: 15 min (5 min each)
• Packaging: 45 min (15 min each)
• Total: 60 min

Parallel (3 assets):

• IDF extraction: 5 min (parallel)
• Packaging: 10 min (template-based)
• Total: 15 min

Savings: 75% time reduction for batches

Constraints

• Max 5 assets per batch (API rate limits)
• All assets must be validated ≥90
• Requires sufficient system memory

Usage

batch_result = batch_processor.run(
    batch_id="theatrical-specimens",
    assets=[asset_3, asset_4, asset_6]
)

# Output:
# Processed: 3 assets in 15 min
# Created: 9 files across 3 directories
# Committed: 1 consolidated commit

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Parallel processing eliminates sequential bottleneck. 3 assets in 15 min vs 60 min serial.