How do I install the Office Doc Extractor skill?

Run npx skillmds@latest add lord1egypt/office-doc-extractor in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Office Doc Extractor safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Office Doc Extractor?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Office Doc Extractor free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Office Doc Extractor?

Lord1Egypt (@lord1egypt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Office Doc Extractor by lord1egypt — Agent Skill

Name: Office Doc Extractor
Rating: 4.666666666666667 (3 reviews)
Author: Lord1Egypt

Office Doc Extractor

Convert Microsoft Office documents (DOCX, XLSX, PPTX) to Markdown without any external dependencies. Use when the user needs to extract text from Word documents, Excel spreadsheets, or PowerPoint presentations for analysis, indexing, or LLM processing. Pure Python implementation — no pip install, no subprocess calls, no network downloads required. Works offline.

Lord1Egypt Updated Sep 8, 2026 2 repo stars

File contents

Office Document Extractor

Zero-dependency converter for Microsoft Office documents. Extracts text and structure from DOCX, XLSX, and PPTX files into clean Markdown.

Quick Start

# Single file
python3 scripts/main.py report.docx -o report.md

# Batch convert a directory
python3 scripts/main.py ./documents --batch -o ./markdown

Supported Formats

Format	Extension	Output
Word	.docx	Headings, paragraphs
Excel	.xlsx	Tables (one per sheet)
PowerPoint	.pptx	Slides as sections

How It Works

DOCX: Parses the ZIP archive's XML directly using Python's zipfile and xml.etree
XLSX: Uses bundled openpyxl (pure Python, no C extensions)
PPTX: Parses the ZIP archive's slide XML directly

No external commands, no network calls, no pip install required.

Usage

Single File

python3 scripts/main.py <input_file> [-o <output.md>]

Auto-detects format from file extension. If -o is omitted, outputs to <input>.md.

Batch Conversion

python3 scripts/main.py <input_directory> --batch [-o <output_directory>]

Converts all .docx, .xlsx, .pptx files in the directory. Results saved to markdown_output/ by default.

Resources

scripts/

main.py — Unified CLI for single-file and batch conversion
docx_extractor.py — DOCX → Markdown (standard library only)
xlsx_extractor.py — XLSX → Markdown tables (bundled openpyxl)
pptx_extractor.py — PPTX → Markdown (standard library only)

Bundled Dependencies

openpyxl/ — Pure Python Excel library (v3.1.5)
et_xmlfile/ — openpyxl dependency (pure Python)

Limitations

Does not extract images or embedded objects (text only)
Does not preserve complex formatting (colors, fonts, layouts)
Does not handle encrypted/password-protected files
No OCR for scanned documents (use OpenClaw's native pdf tool for that)

Why This Skill?

Existing markitdown-based skills require pip install or external CLI tools, which triggers ClawHub security warnings. This skill is 100% self-contained — install it and use it immediately, even offline.

---name: office-doc-extractordescription: Convert Microsoft Office documents (DOCX, XLSX, PPTX) to Markdown without any external dependencies. Use when the user needs to extract text from Word documents, Excel spreadsheets, or PowerPoint presentations for analysis, indexing, or LLM processing. Pure Python implementation — no pip install, no subprocess calls, no network downloads required. Works offline.---# Office Document ExtractorZero-dependency converter for Microsoft Office documents. Extracts text and structure from DOCX, XLSX, and PPTX files into clean Markdown.## Quick Start```bash# Single filepython3 scripts/main.py report.docx -o report.md# Batch convert a directorypython3 scripts/main.py ./documents --batch -o ./markdown```## Supported Formats| Format | Extension | Output ||---|---|---|| Word | .docx | Headings, paragraphs || Excel | .xlsx | Tables (one per sheet) || PowerPoint | .pptx | Slides as sections |## How It Works- **DOCX**: Parses the ZIP archive's XML directly using Python's `zipfile` and `xml.etree`- **XLSX**: Uses bundled `openpyxl` (pure Python, no C extensions)- **PPTX**: Parses the ZIP archive's slide XML directlyNo external commands, no network calls, no pip install required.## Usage### Single File```bashpython3 scripts/main.py <input_file> [-o <output.md>]```Auto-detects format from file extension. If `-o` is omitted, outputs to `<input>.md`.### Batch Conversion```bashpython3 scripts/main.py <input_directory> --batch [-o <output_directory>]```Converts all `.docx`, `.xlsx`, `.pptx` files in the directory. Results saved to `markdown_output/` by default.## Resources### scripts/- **main.py** — Unified CLI for single-file and batch conversion- **docx_extractor.py** — DOCX → Markdown (standard library only)- **xlsx_extractor.py** — XLSX → Markdown tables (bundled openpyxl)- **pptx_extractor.py** — PPTX → Markdown (standard library only)### Bundled Dependencies- **openpyxl/** — Pure Python Excel library (v3.1.5)- **et_xmlfile/** — openpyxl dependency (pure Python)## Limitations- Does not extract images or embedded objects (text only)- Does not preserve complex formatting (colors, fonts, layouts)- Does not handle encrypted/password-protected files- No OCR for scanned documents (use OpenClaw's native `pdf` tool for that)## Why This Skill?Existing markitdown-based skills require `pip install` or external CLI tools, which triggers ClawHub security warnings. This skill is **100% self-contained** — install it and use it immediately, even offline.

Frequently asked questions