All-in-One Local Office Document Toolkit

Problem

When office workflows span Excel, Word, PDF, PPT, Markdown, and CSV, engineers often switch between libraries, template rules, encodings, and formatting constraints. Tasks such as Chinese document layout, long identifiers, formulas, template filling, PDF merging, and batch conversion are easy to break: fonts may be missing, numeric precision may be lost, formula references may shift, and outputs may be hard to reproduce. This skill turns local document processing into an explicit workflow: define the input and output, choose the right engine, then validate the result before delivery.

How It Works

It targets local Python workflows and does not rely on external APIs. For Excel, it uses openpyxl for formulas, styles, charts, and data validation, while pandas handles data cleaning and reshaping. For Word, python-docx supports template filling, headers and footers, table of contents, and Chinese typography. For PDF, PyMuPDF and pdfplumber handle text and table extraction, merging, and splitting, while pypdf handles encryption and decryption. For PPT, python-pptx creates slides, charts, and font settings.

A typical run includes:
- File preflight: confirm paths, file count, formats, and locking status.
- Engine selection: choose cell-level control, data processing, text extraction, or format conversion based on the task.
- Conversion execution: write to a new path, avoid overwriting the original, and preserve templates, styles, merged cells, and print settings.
- Pre-delivery checks: verify long numeric columns as text, formula integrity, complete Chinese font settings, and Chinese chart labels.

Boundaries

It is best for locally parseable documents rather than cloud-collaborative files or highly visual design files. Scanned PDF files without a text layer require OCR; encrypted PDF files can only be prompted for a password; macros and VBA content are skipped. High-fidelity Word to PDF conversion may require a system command-line converter. Large files should be processed page by page, in chunks, or with read_only/write_only modes to avoid memory pressure.