Markitdown
AI agent skills for Claude Code and compatible agents — workflow, coding, design, Claude Code meta, media, productivity, and writing
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Convert any document to Markdown with Microsoft's `markitdown` CLI — PDF, Word, Excel, PowerPoint, HTML, CSV, JSON, XML, ZIP, EPub, images (OCR/EXIF), audio (transcription), and YouTube URLs. Use whenever the user wants to extract text from a binary document, transcribe audio, OCR an image, scrape a YouTube transcript, or pre-process a file for an LLM context window — even when they just say "convert this pdf", "what's in this docx", "transcribe this mp3", or "get the text out of this".
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SKILL.md
6.4 KB, as published. Nobody here has run it
MarkItDown
Convert a document, image, audio file, or YouTube URL to Markdown using Microsoft's markitdown CLI. The skill validates the input, composes the right flags, optionally saves the result under ~/.agents/output/<project>/markitdown/<slug>/, and reports a one-line summary with the fully-expanded absolute path (no tilde, no magic).
The deterministic work — install check, validation, slug derivation, save path, command composition — happens in scripts/markitdown.sh. The skill parses $ARGUMENTS, hands them to the script, and turns the script's RESULT: lines into a human report.
Install
pip install 'markitdown[all]'
For a smaller install, pick only what you need:
| Group | Adds |
|---|---|
[pdf] | PDF parsing |
[docx] | Word documents |
[pptx] | PowerPoint |
[xlsx] [xls] | Excel |
[outlook] | Outlook .msg |
[audio-transcription] | MP3/WAV via local Whisper |
[youtube-transcription] | YouTube transcripts |
[az-doc-intel] | Azure Document Intelligence backend |
For Azure Document Intelligence, also export MARKITDOWN_DOCINTEL_ENDPOINT=https://<resource>.cognitiveservices.azure.com/ before invoking with -d.
Parameters
| Flag | Default | Effect |
|---|---|---|
-s | off | Save Markdown to ~/.agents/output/<project>/markitdown/<slug>/<stem>.md |
-S | off | Force no-save (override an ambient save mode) |
-d | off | Use Azure Document Intelligence (needs MARKITDOWN_DOCINTEL_ENDPOINT) |
-p | off | Enable installed third-party markitdown plugins |
-k | off | Keep data URIs (base64 images) inline in the output |
-l | — | List installed plugins and exit |
Output saved under ~/.agents/output/{project}/markitdown/{slug}/, where {project} is the kebab-cased basename of the git toplevel (else cwd) and {slug} is a kebab of the input basename (≤5 words). Pipeline-friendly — typical downstream: /forge -s -f <path> decomposes the extracted content into workstreams; /apex -f <path> implements from it; any skill accepting -f can consume.
Workflow
-
Empty
$ARGUMENTS→ propose the most recent non-Markdown target from session context (file or URL) and confirm. Ask only when none is detectable. -
Run the helper:
$SKILL_DIR= this skill's folder —${CLAUDE_SKILL_DIR}in Claude Code, the directory containing this SKILL.md elsewhere.bash "$SKILL_DIR"/scripts/markitdown.sh $ARGUMENTS -
The script emits
RESULT: key=valuelines — keys:bytes,slug,saved, pluspathwhen saving (order is not guaranteed; parse by key) — followed either by the converted Markdown (no-save mode, after a---separator) or nothing (save mode — the file is on disk). -
Parse the
RESULT:lines and produce the report below. -
If the script exits with
ERR: markitdown not installed(exit 127) → print the install command from## Installand stop. Never auto-install on the user's behalf. -
If the script exits with another
ERR:(file not found, missing endpoint, unknown flag) → relay the message verbatim and stop.
Output
markitdown: <input> → <bytes> bytes of Markdown
saved: <path> # only when -s
When saving, just report. When not saving, also stream the converted Markdown back to the user; if it exceeds ~80 lines, show the first 80 and tell the user to re-run with -s to capture the full output.
Examples
/markitdown ~/Downloads/report.pdf # convert, print to terminal
/markitdown -s ~/Downloads/report.pdf # convert + save under ~/.agents/output/<project>/markitdown/report/
/markitdown -s -p deck.pptx # use third-party plugins (e.g. markitdown-ocr)
/markitdown -d invoice.pdf # Azure Document Intelligence
/markitdown -k brand.html # keep base64 images inline
/markitdown https://youtu.be/dQw4w9WgXcQ # YouTube transcript
/markitdown -l # list installed plugins, then exit
Notes
- YouTube URLs are detected by the
https?://prefix and passed straight tomarkitdown. The slug is derived from the URL's last path segment, so saved paths look like~/.agents/output/<project>/markitdown/dqw4w9wgxcq/dQw4w9WgXcQ.md. - Audio transcription uses local Whisper via the
[audio-transcription]extra. It's CPU-bound — warn the user before kicking off a long podcast. - Image OCR without the
markitdown-ocrplugin only reads embedded EXIF text. For pixel-level OCR,pip install markitdown-ocrand pass-p. - No silent overwrites —
markitdownitself overwrites with-o, but the slug-namespaced save path makes collisions predictable, not surprising.
Why the wrapper
markitdown is already a great CLI; this skill exists to (a) follow the repo's -s/-S/-f convention so other skills can chain on the output, (b) translate "extract this pdf" into the right invocation without forcing the user to remember -x, -m, -d, -e, and (c) emit a uniform one-line report so terminals don't render multi-MB Markdown by accident.