# batch-processor

A skill for running one operation across hundreds of files at once: convert, extract text, rename, or update headers, with parallel workers and progress tracking.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 4800 installs · ★ 540
- Author: claude-office-skills
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/claude-office-skills/skills/tree/HEAD/batch-processor/SKILL.md
- Updated: 2026-01-31
- HTML: https://affpapa.org/en/nevibecode/skills/batch-processor

## What it does

Point `batch-processor` at a folder and it runs a single operation over every file that matches — convert, extract text, rename, edit headers and footers. The skill ships a Python pattern built on `ProcessPoolExecutor` from `concurrent.futures`, with `tqdm` for progress and a `BatchProcessor` class that writes a checkpoint to `checkpoint.json` after each file. Kill a long job halfway and the next run skips what is already done.

Worker count is yours to set; the example uses `max_workers=8`, and you want that near your core count or the parallelism starts fighting itself. A file that throws does not take down the run — it lands in the results with an `error` status so you can review the failures later.

You need Python plus the dependencies from the install line: `python-docx`, `openpyxl`, `python-pptx`, `reportlab`, `jinja2`. The skill hooks into the `office-mcp` MCP server and calls its `batch_convert` tool, so document operations depend on that server being available. English and Chinese are supported.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill batch-processor -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/batch-processor/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/batch-processor/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill batch-processor -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/batch-processor/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill batch-processor -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/batch-processor/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install claude-office-skills/skills batch-processor
```

2. **Manually: put the files in place**
- File: `.github/skills/batch-processor/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill batch-processor -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/claude-office-skills/skills --path batch-processor
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/batch-processor/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill batch-processor -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/claude-office-skills/skills/tree/HEAD/batch-processor/SKILL.md

## When to use it
- convert a hundred PDFs to Word in one pass
- pull text out of every image in a folder
- rename files and sort them into subfolders
- update headers and footers across all documents
- resume a failed run without redoing finished files

## Example prompts
- Convert every PDF in /documents/invoices to Word
- Extract text from all the images in this directory
- Rename these files by pattern and sort them into subfolders

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 4ea2eb4b124f5f48.

BEGIN THIRD-PARTY FILE 4ea2eb4b124f5f48
````text
---
# ═══════════════════════════════════════════════════════════════════════════════
# 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:
````
END THIRD-PARTY FILE 4ea2eb4b124f5f48

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