Agent skill

Markdown Converter

by notque in notque/vexjoy-agent

Convert PDF, Office, HTML, data, media, ZIP to Markdown. An agent skill from notque/vexjoy-agent.

MITAuto-check: notesDocuments & Office

Install Markdown Converter

skills CLI
$ npx skills add notque/vexjoy-agent --skill markdown-converter -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install notque/vexjoy-agent markdown-converter --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/markdown-converter .claude/skills/markdown-converter && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
markdown-converter
GitHub stars
435
Token cost
~475 tokens
SKILL.md length
140 words
Files
1
Skills in repo
61
Repo updated
First seen
Licence
MIT

At a glance

Convert PDF, Office, HTML, data, media, ZIP to Markdown. An agent skill from notque/vexjoy-agent.

  • Tasks that involve Markdown
  • SKILL.md covers Formats, Options and Error handling
  • Calls uvx and pipx
  • Tasks that involve PDF

What it does

Markdown Converter is an agent skill from notque/vexjoy-agent. Convert PDF, Office, HTML, data, media, ZIP to Markdown.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Markdown and PDF. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.

When your agent uses it

  • Tasks that involve Markdown
  • Tasks that involve PDF

Example prompts

  • “/markdown-converter”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read

What it can do on your machine

Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uvx
    • pipx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uvx and pipx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Markdown Converter loads about 475 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 140 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~475

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 140 words, ~475 tokens.

Download SKILL.mdSave it as .claude/skills/markdown-converter/SKILL.md (or your agent's skills folder).
name
markdown-converter
description
Convert PDF, Office, HTML, data, media, ZIP to Markdown.
allowed-tools
Bash, Read
user_invocable
false
agent
python-general-engineer
routing.triggers
convert to markdown, markitdown, extract text from PDF, PDF to markdown, docx to markdown, ingest document, read this PDF, read this document, extract text…
routing.category
research
routing.pairs_with
research, domain

Markdown Converter

Convert a file to Markdown with markitdown, zero install:

bash
uvx 'markitdown[all]' input.pdf -o output.md   # to file
uvx 'markitdown[all]' input.docx               # to stdout
cat blob | uvx 'markitdown[all]' -x .pdf       # stdin, with extension hint

When uvx is missing, run pipx run 'markitdown[all]' … with the same arguments. First run downloads dependencies; later runs hit the cache. Output preserves headings, tables, lists, and links.

For video transcripts, use the video-transcript skill.

Formats

InputNotes
PDF, .docx, .pptx, .xlsx, .xlsDocument structure preserved
HTML, CSV, JSON, XMLStructured Markdown
ImagesEXIF metadata + OCR text
AudioEXIF metadata + speech transcription
ZIP, EPubIterates contents, converts each

Options

FlagEffect
-o FILEWrite output to FILE
-x .EXTExtension hint for stdin input
-m MIMEMIME-type hint
-c CHARSETCharset hint, e.g. UTF-8

Error handling

Garbled or empty text from a scanned PDF

Cause: page is an image; the base extractor reads text layers only. Solution: render pages to images (pdftoppm), then convert the images so OCR runs.

© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research/markdown-converter of notque/vexjoy-agent.

Open the folder on GitHubat commit 5218674

Compare with similar skills

Markdown Converter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Markdown Converter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Markdown Converter this skillnotque/vexjoy-agent435—~475Automated safety check: NotesMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0
Bookforge Korean Ebook PDF Makergongnyang/bookforge3141 repos~1.7kAutomated safety check: PassMIT
Huashu Markdown Publishing Pipelinealchaincyf/huashu-md-html908—~4.8kAutomated safety check: PassMIT
Paper Interpretationdigoal/blog8.6k—~1.5kAutomated safety check: PassGPL-2.0

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  • Markitdown

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Questions about Markdown Converter

What does Markdown Converter do?

Convert PDF, Office, HTML, data, media, ZIP to Markdown. An agent skill from notque/vexjoy-agent. Markdown Converter is an agent skill from notque/vexjoy-agent. Convert PDF, Office, HTML, data, media, ZIP to Markdown.

When should I use Markdown Converter?

Markdown Converter fits situations like: tasks that involve Markdown; tasks that involve PDF.

How do I install Markdown Converter in Claude Code?

Run `npx skills add notque/vexjoy-agent --skill markdown-converter -a claude-code`. Or copy the skill folder (skills/research/markdown-converter in notque/vexjoy-agent) into .claude/skills/markdown-converter in your project. Claude Code loads it when a task matches its description.

How do I install Markdown Converter in Codex?

Run `npx skills add notque/vexjoy-agent --skill markdown-converter -a codex`. Or copy the skill folder (skills/research/markdown-converter in notque/vexjoy-agent) into .agents/skills/markdown-converter in your project. Codex loads it when a task matches its description.

Can I use Markdown Converter in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --skill markdown-converter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/markdown-converter, .gemini/skills/markdown-converter, .github/skills/markdown-converter and .opencode/skills/markdown-converter in your project.

What does Markdown Converter need to run?

Going by SKILL.md and its folder, Markdown Converter needs the command-line tools its instructions call (uvx and pipx). Its frontmatter pre-approves these tools: Bash, Read.

Does Markdown Converter access the network?

SKILL.md contains no URLs. Its commands use uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Markdown Converter safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Markdown Converter use?

Markdown Converter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Markdown Converter use?

About 475 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Markdown Converter?

Skills that share tags, products or a category with Markdown Converter: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), Bookforge Korean Ebook PDF Maker (gongnyang/bookforge, 314 stars) and Huashu Markdown Publishing Pipeline (alchaincyf/huashu-md-html, 908 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Markdown Converter?

notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.

Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.