batch-processor

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 79d91524ef4c · 28 Oct 2026Report an issue or request a re-scan

• Publisherclaude-office-skills GitHub organizationOwner of the repository this skill is read from
• Source folderclaude-office-skills/skills/batch-processorThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict79d91524ef4cA new audit runs when the source changes
• Repository statusNot archivedLast push 270 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Process multiple documents in bulk with parallel execution

---
# ═══════════════════════════════════════════════════════════════════════════════
# CLAUDE OFFICE SKILL - Enhanced Metadata v2.0
# ═══════════════════════════════════════════════════════════════════════════════

# Basic Information
name: batch-processor
description: "Process multiple documents in bulk with parallel execution"
version: "1.0"
author: claude-office-skills
license: MIT

# Categorization
category: workflow
tags:
  - batch
  - processor
  - bulk
  - automation
department: All

# AI Model Compatibility
models:
  recommended:
    - claude-sonnet-4
    - claude-opus-4
  compatible:
    - claude-3-5-sonnet
    - gpt-4
    - gpt-4o

# MCP Tools Integration
mcp:
  server: office-mcp
  tools:
    - batch_convert

# Skill Capabilities
capabilities:
  - batch_processing
  - automation

# Language Support
languages:
  - en
  - zh
---

# Batch Processor Skill

## Overview

This skill enables efficient bulk processing of documents - convert, transform, extract, or analyze hundreds of files with parallel execution and progress tracking.

## How to Use

1. Describe what you want to accomplish
2. Provide any required input data or files
3. I'll execute the appropriate operations

**Example prompts:**
- "Convert 100 PDFs to Word documents"
- "Extract text from all images in a folder"
- "Batch rename and organize files"
- "Mass update document headers/footers"

## Domain Knowledge


### Batch Processing Patterns

```
Input: [file1, file2, ..., fileN]
         │
         ▼
    ┌─────────────┐
    │  Parallel   │  ← Process multiple files concurrently
    │  Workers    │
    └─────────────┘
         │
         ▼
Output: [result1, result2, ..., resultN]
```

### Python Implementation

```python
from concurrent.futures import ProcessPoolExecutor, as_completed
from pathlib import Path
from tqdm import tqdm

def process_file(file_path: Path) -> dict:
    """Process a single file."""
    # Your processing logic here
    return {"path": str(file_path), "status": "success"}

def batch_process(input_dir: str, pattern: str = "*.*", max_workers: int = 4):
    """Process all matching files in directory."""
    
    files = list(Path(input_dir).glob(pattern))
    results = []
    
    with ProcessPoolExecutor(max_workers=max_workers) as executor:
        futures = {executor.submit(process_file, f): f for f in files}
        
        for future in tqdm(as_completed(futures), total=len(files)):
            file = futures[future]
            try:
                result = future.result()
                results.append(result)
            except Exception as e:
                results.append({"path": str(file), "error": str(e)})
    
    return results

# Usage
results = batch_process("/documents/invoices", "*.pdf", max_workers=8)
print(f"Processed {len(results)} files")
```

### Error Handling & Resume

```python
import json
from pathlib import Path

class BatchProcessor:
    def __init__(self, checkpoint_file: str = "checkpoint.json"):
        self.checkpoint_file = checkpoint_file
        self.processed = self._load_checkpoint()
    
    def _load_checkpoint(self):
        if Path(self.checkpoint_file).exists():
            return json.load(open(self.checkpoint_file))
        return {}
    
    def _save_checkpoint(self):
        json.dump(self.processed, open(self.checkpoint_file, "w"))
    
    def process(self, files: list, processor_func):
        for file in files:
            if str(file) in self.processed:
                continue  # Skip already processed
            
            try:
                result = processor_func(file)
                self.processed[str(file)] = {"status": "success", **result}
            except Exception as e:
                self.processed[str(file)] = {"status": "error", "error": str(e)}
            
            self._save_checkpoint()  # Resume-safe
```


## Best Practices

1. **Use progress bars (tqdm) for user feedback**
2. **Implement checkpointing for long jobs**
3. **Set reasonable worker counts (CPU cores)**
4. **Log failures for later review**

## Installation

```bash
# Install required dependencies
pip install python-docx openpyxl python-pptx reportlab jinja2
```

## Resources

- [Custom Repository](https://github.com/claude-office-skills/skills)
- [Claude Office Skills Hub](https://github.com/claude-office-skills/skills)

Excerpt, first 4,332 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

pip install python-docx openpyxl python-pptx reportlab jinja2

git clone https://github.com/claude-office-skills/skills
git -C skills checkout 79d91524ef4c

Works in

1. 2026-10-28
   ✓SAFE B 89 / 100

   first audit · source 79d91524ef4c

Questions about batch-processor

• github.com/claude-office-skills/skills/tree/main/batch-processor — the audited source at commit 79d91524ef4c and every finding aboveObserved · 28 Oct 2026

Spotted something wrong? Report a correction · Methodology