python-docx-batch-document-generation

Sub-skill of python-docx: Batch Document Generation.

5 stars

Best use case

python-docx-batch-document-generation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of python-docx: Batch Document Generation.

Teams using python-docx-batch-document-generation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/batch-document-generation/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/office/python-docx/batch-document-generation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/batch-document-generation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How python-docx-batch-document-generation Compares

Feature / Agentpython-docx-batch-document-generationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of python-docx: Batch Document Generation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Batch Document Generation

## Batch Document Generation


```python
"""
Generate multiple documents from a data source.
"""
from docx import Document
from docx.shared import Pt, Inches
from typing import List, Dict, Any
from pathlib import Path
import csv
from concurrent.futures import ThreadPoolExecutor, as_completed

def generate_single_document(
    template_path: str,
    output_dir: Path,
    data: Dict[str, Any],
    filename_field: str = 'id'
) -> str:
    """Generate a single document from template."""
    doc = Document(template_path)

    # Replace placeholders
    for para in doc.paragraphs:
        for key, value in data.items():
            placeholder = f'{{{{{key}}}}}'
            if placeholder in para.text:
                for run in para.runs:
                    if placeholder in run.text:
                        run.text = run.text.replace(placeholder, str(value))

    # Generate filename
    filename = f"{data.get(filename_field, 'document')}.docx"
    output_path = output_dir / filename

    doc.save(str(output_path))
    return str(output_path)


def batch_generate_documents(
    template_path: str,
    csv_data_path: str,
    output_dir: str,
    max_workers: int = 4
) -> List[str]:
    """Generate multiple documents from CSV data."""
    output_path = Path(output_dir)
    output_path.mkdir(parents=True, exist_ok=True)

    # Read CSV data
    with open(csv_data_path, 'r') as f:
        reader = csv.DictReader(f)
        records = list(reader)

    generated_files = []

    # Generate documents in parallel
    with ThreadPoolExecutor(max_workers=max_workers) as executor:
        futures = {
            executor.submit(
                generate_single_document,
                template_path,
                output_path,
                record
            ): record
            for record in records
        }

        for future in as_completed(futures):
            try:
                result = future.result()
                generated_files.append(result)
                print(f"Generated: {result}")
            except Exception as e:
                print(f"Error generating document: {e}")

    return generated_files


# Usage
# batch_generate_documents(
#     'invoice_template.docx',
#     'clients.csv',
#     'generated_invoices/'
# )
```

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