Md To PDF Academic
wentorai/research-plugins
Convert Markdown to publication-quality PDF with LaTeX math rendering
Convert PDF documents to Markdown using markersingle. An agent skill from benchflow-ai/skillsbench.
Install Marker
$ npx skills add benchflow-ai/skillsbench --skill marker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench marker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .claude/skills/marker && rm -rf skills-srcUse ~/.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/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .claude/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/markerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill marker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench marker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .agents/skills/marker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .agents/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill marker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench marker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .cursor/skills/marker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .cursor/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/latex-formula-extraction/environment/skills/marker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill marker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench marker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .gemini/skills/marker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .gemini/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench markerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill marker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .github/skills/marker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .github/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill marker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench marker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/latex-formula-extraction/environment/skills/marker .opencode/skills/marker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "marker" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/latex-formula-extraction/environment/skills/marker into .opencode/skills/marker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
marker- GitHub stars
- 1.8k
- Token cost
- ~520 tokens
- SKILL.md length
- 159 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 180
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Convert PDF documents to Markdown using markersingle. An agent skill from benchflow-ai/skillsbench.
- Claude needs to extract text content from PDFs while preserving LaTeX formulas
- SKILL.md covers Dependencies, Quick Start, Python API and Command-Line Usage, plus 2 more sections
- Runs Python scripts from its folder; calls python and pip
- Document structure
What it does
Marker is an agent skill from benchflow-ai/skillsbench. Convert PDF documents to Markdown using markersingle. Use when Claude needs to extract text content from PDFs while preserving LaTeX formulas, equations, and document structure. Ideal for academic papers and technical documents containing mathematical notation.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/marker_to_markdown.py`).
It sits in Documents & Office, covering PDF, LaTeX and Markdown. It works with LaTeX. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- Claude needs to extract text content from PDFs while preserving LaTeX formulas
- Document structure
Example prompts
- “/marker”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, 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
Marker loads about 520 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 159 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 159 words, ~520 tokens.
Download SKILL.mdSave it as
.claude/skills/marker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- marker
- description
- Convert PDF documents to Markdown using marker_single. Use when Claude needs to extract text content from PDFs while preserving LaTeX formulas, equations, and document structure. Ideal for academic papers and technical documents containing mathematical notation.
Marker PDF-to-Markdown Converter
Convert PDFs to Markdown while preserving LaTeX formulas and document structure. Uses the marker_single CLI from the marker-pdf package.
Dependencies
marker_singleon PATH (pip install marker-pdfif missing)- Python 3.10+ (available in the task image)
Quick Start
from scripts.marker_to_markdown import pdf_to_markdown
markdown_text = pdf_to_markdown("paper.pdf")
print(markdown_text)Python API
pdf_to_markdown(pdf_path, *, timeout=600, cleanup=True) -> str- Runs
marker_single --output_format markdown --disable_image_extraction cleanup=True: use a temp directory and delete after reading the Markdowncleanup=False: keep outputs in<pdf_stem>_marker/next to the PDF- Exceptions:
FileNotFoundErrorif the PDF is missing,RuntimeErrorfor marker failures,TimeoutErrorif it exceeds the timeout
- Runs
- Tips: bump
timeoutfor large PDFs; setcleanup=Falseto inspect intermediate files
Command-Line Usage
# Basic conversion (prints markdown to stdout)
python scripts/marker_to_markdown.py paper.pdf
# Keep temporary files
python scripts/marker_to_markdown.py paper.pdf --keep-temp
# Custom timeout
python scripts/marker_to_markdown.py paper.pdf --timeout 600Output Locations
cleanup=True: outputs stored in a temporary directory and removed automaticallycleanup=False: outputs saved to<pdf_stem>_marker/; markdown lives at<pdf_stem>_marker/<pdf_stem>/<pdf_stem>.mdwhen present (otherwise the first.mdfile is used)
Troubleshooting
marker_singlenot found: installmarker-pdfor ensure the CLI is on PATH- No Markdown output: re-run with
--keep-temp/cleanup=Falseand checkstdout/stderrsaved in the output folder
© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in tasks/latex-formula-extraction/environment/skills/marker of benchflow-ai/skillsbench.
- SKILL.md
- scripts/marker_to_markdown.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Marker 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Marker this skillbenchflow-ai/skillsbench | 1.8k | — | ~520 | Automated safety check: Pass | Apache-2.0 | |
| Md To PDF Academicwentorai/research-plugins | 298 | 1 repos | ~1.8k | Automated safety check: Notes | MIT | |
| MineruNebutra/MinerU-Skill | 122 | — | ~504 | Automated safety check: Pass | MIT | |
| Lecture To Mdysyecust/lecture-to-notes | 269 | — | ~3.9k | Automated safety check: Pass | Custom licence | |
| Chinese Copyright Applicationokooo5km/Skills4U | 183 | — | ~2.8k | Automated safety check: Notes | MIT | |
| Z Md To PDFtjxj/z-skills | 545 | — | ~711 | Automated safety check: Pass | MIT |
Similar skills
Mineru
Nebutra/MinerU-Skill
An AI-Native skill for parsing PDF / Office / image files into Markdown with MinerU — a fast, zero-config document parser for AI agents.
Lecture To Md
ysyecust/lecture-to-notes
把课堂视频（本地或 B 站/YouTube）、文字稿、课件三者（任意组合）整理成一份详细的中文 Markdown 课堂笔记，输出按课程标题命名的 {titlename}.md（首行为 文档标题）+ 相对路径图片。Markdown 工作流，与上游 lecture-to-notes 的 LaTeX/PDF 输出并行存在；上游 skill 完全不动。触发词：markdown 笔记、md 笔记、视频转…
Chinese Copyright Application
okooo5km/Skills4U
中国软件著作权申请材料生成工具。申请表直接输出 Markdown 提交，源程序/用户手册/设计说明书三份生成 LaTeX 并编译为 PDF。自动分析项目代码，生成四份材料（前后各30页共60页源程序、含页眉页脚的用户手册和设计说明书、Markdown…
Z Md To PDF
tjxj/z-skills
将 Markdown、Obsidian 笔记、技术文章、白皮书或长文排成中文 PDF。用户说“转成 PDF”“Markdown 转 PDF”“md 转 pdf”“排版成电子书”“生成指定风格 PDF”“一次生成多种风格”“学术风/书籍风/报告风”，或要编译 my-girlfriend-jingtian-latex 项目时，都应使用本…
Md To PDF
Mathews-Tom/armory
Convert Markdown to styled PDFs with Mermaid diagrams, LaTeX/KaTeX math, tables, and code highlighting.
More from benchflow-ai/skillsbench
All 180 skills in this repoLean4 Memories
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
Senior Data Engineer
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
Ac Branch Pi Model
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
Civ6lib
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
D3 Visualization
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
Dc Power Flow
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
Related
Works with
Categories
Questions about Marker
What does Marker do?
Convert PDF documents to Markdown using markersingle. An agent skill from benchflow-ai/skillsbench. Marker is an agent skill from benchflow-ai/skillsbench. Convert PDF documents to Markdown using markersingle.
When should I use Marker?
Marker fits situations like: Claude needs to extract text content from PDFs while preserving LaTeX formulas; document structure.
How do I install Marker in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill marker -a claude-code`. Or copy the skill folder (tasks/latex-formula-extraction/environment/skills/marker in benchflow-ai/skillsbench) into .claude/skills/marker in your project. Claude Code loads it when a task matches its description.
How do I install Marker in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill marker -a codex`. Or copy the skill folder (tasks/latex-formula-extraction/environment/skills/marker in benchflow-ai/skillsbench) into .agents/skills/marker in your project. Codex loads it when a task matches its description.
Can I use Marker 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 benchflow-ai/skillsbench --skill marker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marker, .gemini/skills/marker, .github/skills/marker and .opencode/skills/marker in your project.
What does Marker need to run?
Going by SKILL.md and its folder, Marker needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Marker access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Marker safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Marker use?
Marker is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Marker use?
About 520 tokens (SKILL.md is roughly 2.1k 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 Marker?
Skills that share tags, products or a category with Marker: Md To PDF Academic (wentorai/research-plugins, 298 stars), Mineru (Nebutra/MinerU-Skill, 122 stars), Lecture To Md (ysyecust/lecture-to-notes, 269 stars) and Chinese Copyright Application (okooo5km/Skills4U, 183 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Marker?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 180 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.