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Convert Word To Md

GitHubOfficialFirst committed by 1YaoWei0Distributed by GitHub

  • Skill
  • Tool integration
  • Automation and integrations
  • MIT
  • Low risk
  • Has scripts

From the author

Converts Word (.docx) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .docx file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a Word document, resume, report, contract, or proposal. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .docx content directly or write ad-hoc conversion code. Also use this skill for batch requests involving a whole folder of Word documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.
— the description by 1YaoWei0

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a reliable way to convert Microsoft Word (.docx) files into Markdown format. Because .docx files are complex zipped XML structures, they cannot be read directly as plain text. This skill uses a dedicated script to perform the conversion, ensuring that content, structure, and embedded images are accurately extracted. It supports both single-file conversion and batch processing of entire folders, and it is designed to be used as a prerequisite for any task involving the analysis, summarization, or data extraction of Word documents.

What it does

  • Converts .docx files into clean Markdown files.
  • Extracts embedded images into a dedicated subfolder.
  • Supports batch processing of folders with recursive options.
  • Maintains document structure during the conversion process.
  • Integrates with other file conversion skills for mixed-format folders.

When to use it

  • When a user asks to read, summarize, or analyze a .docx file.
  • When you need to extract data from a Word document, report, or contract.
  • When processing a folder containing multiple Word documents.
  • When handling mixed-format folders containing .pdf, .docx, and .xlsx files.

Advantages

  • Ensures accurate content extraction from complex .docx structures.
  • Standardizes document formats for easier AI analysis.
  • Handles embedded images by extracting them into a structured folder.
  • Prevents silent failures by requiring sibling skills for mixed file types.

Usage examples

“Can you summarize this project proposal.docx?”
The agent invokes the conversion script to create a Markdown version of the proposal, then reads the resulting .md file to generate the summary.
“Analyze all the documents in the /reports folder.”
The agent runs the batch conversion script on the folder, then proceeds to analyze the generated Markdown files.
“Extract the budget data from the files in this folder.”
The agent identifies the file types and invokes the appropriate conversion skills (e.g., convert-word-to-md and convert-excel-to-md) before extracting the data.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/github/convert-word-to-md/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip convert-word-to-md.zip -d .agents/skills

Documentation by 1YaoWei0

Convert Word to Markdown

When to use this skill

Trigger this skill any time there is a .docx file that needs to be understood or processed — for example, a user attaches a Word document and asks questions about it, wants a summary, wants specific data pulled out, or wants multiple Word documents in a folder processed together. Word's native .docx format is a zipped XML bundle that is not reliably readable as plain text, so always convert it to Markdown first using the script in this skill rather than trying to open or parse the file directly.

This skill only supports .docx. If asked to convert a legacy .doc file, tell the user it isn't supported and ask them to re-save it as .docx (Word: File > Save As > Word Document (.docx)) first.

Mixed file types: When the user references a folder or set of documents containing multiple supported file types (.pdf, .docx, .xlsx), this skill handles only .docx files. The agent MUST also invoke the sibling skills in parallel:

  • convert-pdf-to-md for any .pdf files

  • convert-excel-to-md for any .xlsx files

Never process a folder and silently skip a supported file type. All three skills must be invoked together when mixed types are present.

Setup (once per environment)

Before the first conversion in a given environment, follow references/setup.md step by step to ensure Python, pip, and the markitdown package are installed. Do this proactively rather than guessing whether the environment is ready — the script itself will also fail with a clear pointer back to that file if markitdown turns out to be missing, so it's safe to just try the conversion first if you're reasonably confident setup was already done.

Usage

The conversion script lives at scripts/convert_word_to_md.py.

Output structure: MarkItDown embeds images as a truncated data:image/png;base64... URI placeholder (not real image data), so the script extracts real images directly from the .docx and writes a self-contained folder per document instead of a single loose .md file:

<name>/
    img/
        img001.<ext>
        img002.<ext>
        ...
    <name>.md          (image references are relative: img/imgNNN.ext)

If the document has no embedded images, no img/ folder is created.

Single file:

# Windows
python scripts\convert_word_to_md.py "C:\path\to\document.docx"
# macOS / Linux
python scripts/convert_word_to_md.py "/path/to/document.docx"

This creates a document\ folder next to the source file (containing document.md and, if present, document\img\). To control the destination folder explicitly:

python scripts\convert_word_to_md.py "C:\path\to\document.docx" -o "C:\path\to\output_folder"

A folder of Word documents (batch mode):

python scripts\convert_word_to_md.py "C:\path\to\folder"

Add --recursive to also include subfolders:

python scripts\convert_word_to_md.py "C:\path\to\folder" --recursive

Each .docx found gets its own <name>\ output folder next to it by default. Pass -o "C:\path\to\output_parent" to collect all the generated <name>\ folders under a separate parent directory instead (subfolder structure is preserved when combined with --recursive).

After conversion, read the resulting .md file(s) to perform the actual analysis the user asked for — the script's job is only to produce accurate Markdown (and images), not to interpret the content.

Deciding where output goes

Default — always output next to the source file. The <name>/ folder is created in the same directory as the source .docx. This is the required default for every case. Do NOT override it unless the user explicitly asks for a different location.

Only use -o when the user explicitly provides an output path (e.g., "save the output to C:\output", "put the results in D:\work"). Do NOT pass -o based on the agent's current working directory, the session state folder, or any implied location.

If the source file path cannot be fully resolved — for example, the user provides only a filename with no directory, or the path is ambiguous — use ask_user to confirm the full absolute path before running the conversion. Never guess or assume the directory.

Troubleshooting

SymptomLikely causeFix
ModuleNotFoundError: No module named 'markitdown' / exit code 2MarkItDown not installedFollow references/setup.md
ERROR: Unsupported file type '.doc' / exit code 3Legacy .doc, not .docxAsk the user to re-save as .docx
ERROR: Input path not found / exit code 3Wrong path, or file movedConfirm the correct path with the user
FAILED <file> -> ... in batch outputThat specific file is corrupt, password-protected, or otherwise unreadableReport which file(s) failed; other files in the batch still succeed
NOTE: skipped N non-.docx file(s)Folder contains non-Word filesExpected — those files are intentionally ignored
WARNING: found N image placeholder(s) ... but extracted M image file(s)Mismatch between MarkItDown's placeholder count and images found in word/media/ (unusual/malformed docx)Placeholders are left unreplaced rather than risk wrong images; inspect the source file's media manually if images are needed

Files

scripts/convert_word_to_md.py

#!/usr/bin/env python3
"""Convert Word (.docx) documents to Markdown using Microsoft's MarkItDown,
with embedded images extracted to real files (MarkItDown only emits a
truncated `data:image/...;base64...` placeholder, not real image data).

Usage:
    python convert_word_to_md.py <input> [-o OUTPUT] [--recursive]

<input> may be either:
  - a path to a single .docx file, or
  - a path to a directory (batch mode: every .docx file directly inside it
    is converted; pass --recursive to also descend into subdirectories).

Output:
  For each source .docx (named "<name>.docx"), a folder is created
  containing the Markdown and its images, in this layout:

      <name>/
          img/
              img001.<ext>
              img002.<ext>
              ...
          <name>.md          (image references are relative: img/imgNNN.ext)

  - Single file mode: the "<name>/" folder is created next to the source
    file, or at -o/--output (treated as the exact destination folder) if
    given.
  - Batch/directory mode: a "<name>/" folder is created next to each source
    file, or under -o/--output (treated as a parent directory, created if
    missing) if given, preserving relative subfolder structure when
    --recursive is used.
  - If a document has no embedded images, no "img/" folder is created.

Exit codes:
  0 - all requested conversions succeeded
  1 - one or more conversions failed (partial success in batch mode)
  2 - required dependency ("markitdown") is not installed
  3 - invalid input (path not found, or single-file input is not .docx)
"""
import argparse
import re
import shutil
import sys
import zipfile
from pathlib import Path
from xml.etree import ElementTree as ET

EXIT_OK = 0
EXIT_CONVERSION_FAILED = 1
EXIT_MISSING_DEPENDENCY = 2
EXIT_INVALID_INPUT = 3

_W_NS = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
_R_NS = "http://schemas.openxmlformats.org/officeDocument/2006/relationships"
_REL_NS = "http://schemas.openxmlformats.org/package/2006/relationships"

# MarkItDown embeds images as a literal truncated placeholder, e.g.
# ![alt](data:image/png;base64...) -- NOT real base64 data. This pattern
# matches that placeholder so it can be swapped for a real relative path.
_PLACEHOLDER_IMAGE_RE = re.compile(
    r'!\[([^\]]*)\]\(data:image/[a-zA-Z0-9.+-]+;base64[^)]*\)'
)


def _import_markitdown():
    """Import MarkItDown, failing with a clear, actionable message if absent."""
    try:
        from markitdown import MarkItDown
        return MarkItDown
    except ImportError:
        print(
            "ERROR: The 'markitdown' package is not installed.\n"
            "See references/setup.md for this skill, or run:\n"
            '    pip install "markitdown[docx]"',
            file=sys.stderr,
        )
        sys.exit(EXIT_MISSING_DEPENDENCY)


def _document_order_media(docx_path: Path):
    """Return [(rel_id, media_zip_path), ...] in the order images appear in
    word/document.xml (via r:embed / r:id), resolved through
    word/_rels/document.xml.rels. Returns [] if the document has no body
    part or no images (e.g. malformed docx falls back gracefully)."""
    try:
        with zipfile.ZipFile(docx_path) as z:
            if "word/document.xml" not in z.namelist() or \
               "word/_rels/document.xml.rels" not in z.namelist():
                return []
            rels_xml = z.read("word/_rels/document.xml.rels")
            doc_xml = z.read("word/document.xml")
    except (zipfile.BadZipFile, KeyError, OSError):
        return []

    try:
         rels_root = ET.fromstring(rels_xml)
         doc_root = ET.fromstring(doc_xml)
    except ET.ParseError:
         return []

    rel_map = {}
    for rel in rels_root.findall(f"{{{_REL_NS}}}Relationship"):
        rel_map[rel.get("Id")] = rel.get("Target")

    ordered_rel_ids = []
    for elem in doc_root.iter():
        tag = elem.tag.rsplit("}", 1)[-1]
        if tag == "blip":
            rid = elem.get(f"{{{_R_NS}}}embed")
        elif tag == "imagedata":
            rid = elem.get(f"{{{_R_NS}}}id")
        else:
            rid = None
        if rid:
            ordered_rel_ids.append(rid)
    ordered_media = []
    for rid in ordered_rel_ids:
        target = rel_map.get(rid)
        if not target or "media/" not in target:
            continue
        import posixpath
        media_path = (
            target.lstrip("/")
            if target.startswith("/")
            else posixpath.normpath(
                 target if target.startswith("word/") else posixpath.join("word", target)
             )
        )
        ordered_media.append((rid, media_path))
    return ordered_media


def _extract_images(docx_path: Path, img_dir: Path):
    """Extract embedded images from docx_path into img_dir as img001.ext,
    img002.ext, ... in document order. Returns the list of written filenames
    (relative to img_dir), in that same order."""
    ordered_media = _document_order_media(docx_path)
    if not ordered_media:
        return []

    written = []
    with zipfile.ZipFile(docx_path) as z:
        names_in_zip = set(z.namelist())
        for idx, (rid, media_path) in enumerate(ordered_media, start=1):
            if media_path not in names_in_zip:
                print(f"WARNING: {media_path} (rel {rid}) not found in {docx_path}", file=sys.stderr)
                continue
            ext = Path(media_path).suffix.lstrip(".").lower() or "bin"
            if ext == "jpg":
                ext = "jpeg"
            out_name = f"img{idx:03d}.{ext}"
            img_dir.mkdir(parents=True, exist_ok=True)
            (img_dir / out_name).write_bytes(z.read(media_path))
            written.append(out_name)
    return written


def _rewrite_image_refs(markdown_text: str, image_files) -> str:
    """Replace MarkItDown's truncated base64 image placeholders with real
    relative img/imgNNN.ext references, in left-to-right order. If the
    counts don't match (unexpected), the placeholders are left as-is rather
    than risk mismatched references."""
    matches = list(_PLACEHOLDER_IMAGE_RE.finditer(markdown_text))
    if not matches:
        return markdown_text
    if len(matches) != len(image_files):
        print(
            f"WARNING: found {len(matches)} image placeholder(s) in markdown but "
            f"extracted {len(image_files)} image file(s); leaving placeholders "
            "unreplaced to avoid mismatched references.",
            file=sys.stderr,
        )
        return markdown_text

    counter = {"i": 0}

    def _replace(m):
        name = image_files[counter["i"]]
        counter["i"] += 1
        return f"![{m.group(1)}](img/{name})"

    return _PLACEHOLDER_IMAGE_RE.sub(_replace, markdown_text)


def convert_one(md, source: Path, dest_dir: Path) -> bool:
    """Convert a single .docx file to a "<name>/" folder containing the
    Markdown file and an "img/" folder of extracted images. Returns True on
    success."""
    try:
      result = md.convert(str(source))
    except ImportError as exc:
      print(
        f"ERROR: A required dependency for converting '{source.name}' is not installed.\n"
        f"  {exc}\n"
        "See references/setup.md for this skill, or run:\n"
        '    pip install "markitdown[docx]"',
        file=sys.stderr,
      )
      sys.exit(EXIT_MISSING_DEPENDENCY)
    except Exception as exc:  # noqa: BLE001 - surface any conversion error
        print(f"FAILED  {source} -> {exc}", file=sys.stderr)
        return False

    try:
        if dest_dir.exists():
            shutil.rmtree(dest_dir)
        dest_dir.mkdir(parents=True, exist_ok=True)
        image_files = _extract_images(source, dest_dir / "img")
        text = _rewrite_image_refs(result.text_content, image_files)
        md_path = dest_dir / f"{source.stem}.md"
        md_path.write_text(text, encoding="utf-8")
    except OSError as exc:
        print(f"FAILED  {source} -> could not write output in {dest_dir}: {exc}", file=sys.stderr)
        return False

    img_note = f", {len(image_files)} image(s)" if image_files else ""
    print(f"OK      {source} -> {md_path}{img_note}")
    return True


def find_docx_files(root: Path, recursive: bool):
    """Return (docx_files, skipped_count) for files directly/recursively under root."""
    pattern_iter = root.rglob("*") if recursive else root.iterdir()
    docx_files = []
    skipped = 0
    for entry in pattern_iter:
        if entry.is_dir():
            continue
        if entry.suffix.lower() == ".docx":
            docx_files.append(entry)
        else:
            skipped += 1
    return sorted(docx_files), skipped


def main() -> int:
    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
    parser.add_argument("input", help="Path to a .docx file or a directory of .docx files")
    parser.add_argument(
        "-o", "--output",
        help=(
            "Destination folder for the '<name>/' output (single-file mode), "
            "or parent directory under which each '<name>/' output folder is "
            "created (batch mode)"
        ),
    )
    parser.add_argument(
        "--recursive", action="store_true",
        help="When input is a directory, also search subdirectories",
    )
    args = parser.parse_args()

    #MarkItDown = _import_markitdown()
    #md = MarkItDown()

    source = Path(args.input)
    if not source.exists():
        print(f"ERROR: Input path not found: {source}", file=sys.stderr)
        return EXIT_INVALID_INPUT

    if source.is_file() and source.suffix.lower() != ".docx":
         print(
             f"ERROR: Unsupported file type '{source.suffix}'. "
             "This skill only converts .docx files.",
             file=sys.stderr,
         )
         return EXIT_INVALID_INPUT

    MarkItDown = _import_markitdown()
    md = MarkItDown()

    if source.is_file():
        dest_dir = Path(args.output) if args.output else source.parent / source.stem
        return EXIT_OK if convert_one(md, source, dest_dir) else EXIT_CONVERSION_FAILED

    # Directory / batch mode
    docx_files, skipped = find_docx_files(source, args.recursive)
    if skipped:
        print(f"NOTE: skipped {skipped} non-.docx file(s) in {source}")
    if not docx_files:
        print(f"ERROR: No .docx files found under {source}", file=sys.stderr)
        return EXIT_INVALID_INPUT

    out_dir = Path(args.output) if args.output else None
    success_count = 0
    for docx_path in docx_files:
        if out_dir is not None:
            rel = docx_path.relative_to(source)
            dest_dir = out_dir / rel.parent / docx_path.stem
        else:
            dest_dir = docx_path.parent / docx_path.stem
        if convert_one(md, docx_path, dest_dir):
            success_count += 1

    total = len(docx_files)
    print(f"\nConverted {success_count}/{total} file(s).")
    return EXIT_OK if success_count == total else EXIT_CONVERSION_FAILED


if __name__ == "__main__":
    sys.exit(main())

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

First committed by
GitHub avatar of 1YaoWei01YaoWei0
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/convert-word-to-md · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
1YaoWei0

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