Markitdown
aipoch/medical-research-skills
Convert files and Office documents into clean Markdown when you need LLM-friendly, token-efficient text (e.g., for summarization, search, RAG ingestion, or dataset preparation).
软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！
Install Antinet Doc Parse
$ npx skills add anbeime/skill --skill antinet-doc-parse -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install anbeime/skill antinet-doc-parse --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/antinet-doc-parse .claude/skills/antinet-doc-parse && 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 "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .claude/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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/anbeime/skill/tree/main/skills/antinet-doc-parseType 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 anbeime/skill --skill antinet-doc-parse -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install anbeime/skill antinet-doc-parse --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/antinet-doc-parse .agents/skills/antinet-doc-parse && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .agents/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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 anbeime/skill --skill antinet-doc-parse -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install anbeime/skill antinet-doc-parse --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/antinet-doc-parse .cursor/skills/antinet-doc-parse && 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 "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .cursor/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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/anbeime/skill.git --path skills/antinet-doc-parse--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 anbeime/skill --skill antinet-doc-parse -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install anbeime/skill antinet-doc-parse --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/antinet-doc-parse .gemini/skills/antinet-doc-parse && 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 "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .gemini/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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 anbeime/skill antinet-doc-parseInstalls 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 anbeime/skill --skill antinet-doc-parse -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/antinet-doc-parse .github/skills/antinet-doc-parse && 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 "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .github/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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 anbeime/skill --skill antinet-doc-parse -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install anbeime/skill antinet-doc-parse --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/anbeime/skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/antinet-doc-parse .opencode/skills/antinet-doc-parse && 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 "antinet-doc-parse" agent skill from https://github.com/anbeime/skill/tree/main/skills/antinet-doc-parse into .opencode/skills/antinet-doc-parse/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antinet-doc-parse", 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
antinet-doc-parse- GitHub stars
- 7.6k
- Token cost
- ~305 tokens
- SKILL.md length
- 59 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 57
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！
- Tasks that involve Excel spreadsheets
- SKILL.md covers 使用方式, 输入（Input）, 输出（Output） and 依赖（Dependencies）, plus 3 more sections
- Runs Python scripts from its folder; calls python
- Tasks that involve Retrieval-augmented generation
What it does
Antinet Doc Parse is an agent skill from anbeime/skill. 软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/run_doc_parse.py`).
It sits in Documents & Office, covering Excel spreadsheets and Retrieval-augmented generation. It works with Microsoft Excel and Python. The repository describes itself as: 收录最全、更新最快的技能Skills商店：精选原创技能包（涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流），全部打包好可直接安装使用！同时自动抓取GitHub上万个Skills项目，按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Excel spreadsheets
- Tasks that involve Retrieval-augmented generation
Example prompts
- “/antinet-doc-parse”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit b8dadc0. 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:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Antinet Doc Parse loads about 305 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 59 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 anbeime/skill at commit b8dadc0, republished under its Apache-2.0 licence (© anbeime). 59 words, ~305 tokens.
Download SKILL.mdSave it as
.claude/skills/antinet-doc-parse/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- antinet-doc-parse
- description
- 软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！
- assign_when
- 该 Worker 负责把任意格式的原始文档转成机器可读的结构化文本，是下游信息抽取与检索的通用解析入口。
多格式文档解析 Skill（密卷房）
使用方式
- 由密卷房 Worker 在收到已通过安全扫描的文件时调用。
- 三级 fallback 依次尝试，输出最终结构化结果与置信度。
输入（Input）
file_path：已通过 security-scan 的本地文件路径formats：（可选）期望支持的格式白名单，默认全格式
输出（Output）
markdown：结构化 Markdown 正文metadata：标题、页数、表格数、作者等元数据confidence：0–1 解析置信度fallback_used：最终生效的解析器名称
依赖（Dependencies）
- MinerU（首选，强排版还原）
- PyMuPDF（次选，PDF 快速解析）
- pdfplumber（兜底，表格/文本抽取）
python-magic（类型探测）
失败处理（Failure Handling）
- 主解析器失败 → 自动降级到下一档，直到全部尝试。
- 三级全部失败 → 标记
人工介入，不输出残缺结果，回传 BLOCKED 给军机处。 - 单页超大文件 → 分块解析后拼接，避免内存溢出；块级失败仅标记该块低置信度。
复用价值（Reuse Value）
- 通用解析底座：RAG 索引、企业知识库、合同结构化均可直接复用。
- 置信度透明：下游（通政司四色卡片）可据此决定是否需要人工复核，降低幻觉风险。
复赛代码包执行（runnable package）
- 真实入口：
scripts/run_doc_parse.py - 执行等价于
core.runtime.AgentSession.run_stage("doc-parse")，调用archive.mijuanfang.MiJuanFangAgent（三级解析 fallback，纯 Python 可离线）。 - 运行：
python skills/doc-parse/scripts/run_doc_parse.py - 产物：
examples/snse_survey/skill_outputs/doc_parse.json（解析结果 + 置信度 + fallback 信息）。
© anbeime, 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 2 other files (scripts) in skills/antinet-doc-parse of anbeime/skill.
- SKILL.md
- LICENSE
- scripts/run_doc_parse.py
Open the folder on GitHubat commit b8dadc0
Compare with similar skills
Antinet Doc Parse 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 |
|---|---|---|---|---|---|---|
| Antinet Doc Parse this skillanbeime/skill | 7.6k | — | ~305 | Automated safety check: Pass | Apache-2.0 | |
| Markitdownaipoch/medical-research-skills | 2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Doc Cleanernotoriouslab/doc-cleaner | 309 | — | ~712 | Automated safety check: Pass | MIT | |
| MineruNebutra/MinerU-Skill | 122 | — | ~504 | Automated safety check: Pass | MIT | |
| XLSXzzhonglei/GeoCode-Release | 186 | — | ~3.1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
Doc Cleaner
notoriouslab/doc-cleaner
Convert PDF, DOCX, XLSX, and text files to clean, structured Markdown.
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.
XLSX
zzhonglei/GeoCode-Release
Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm) where the workbook file is the primary deliverable.
Python Bridge
tmustier/pi-for-excel
Native Python execution via the local Python bridge. An agent skill from tmustier/pi-for-excel.
More from anbeime/skill
All 57 skills in this repoAgentKit Shopping Avatar Video
anbeime/skill
Chinese-language skill that produces a 25-second vertical video of a digital shopping-guide avatar for e-commerce, chaining AI image, voice and video generation.
Historical Science Video Pack
anbeime/skill
Produces a full material pack for a three-minute history-of-science explainer video from a theme, era and core conclusion: narration, storyboard, Veo2 prompts and character design.
PPT Visual Enhancement Generator
anbeime/skill
Turns a PPT content outline into styled slide images, an interactive HTML viewer and an optional stitched video from a content-planning partner skill.
Seven-Role PPT Generator
anbeime/skill
Builds or improves a PowerPoint deck through a seven-role workflow: topic analysis, template choice, content planning, writing, image suggestions, editing and PPTX generation.
Roadshow Video Generator
anbeime/skill
Turns a document into a narrated roadshow video through ten staged roles, from document analysis and slide planning to audio, subtitles and final composition.
PPTX Generator
anbeime/skill
产品经理与运营专员在准备汇报展示时，将 JSON 数据一键转换为标准 .pptx 文件。自动应用多种布局、图表与表格样式，快速生成专业 PPT，彻底告别繁琐手工排版，让内容产出与展示更高效！
Related
Works with
Categories
Questions about Antinet Doc Parse
What does Antinet Doc Parse do?
软件开发工程师与数据科学家在构建RAG系统时，当需处理PDF/Word/Excel等多格式复杂文档，用此技能可自动触发三级解析降级，一键输出高置信度结构化Markdown与元数据，免去繁琐清洗，直接夯实企业知识库数据底座！. Antinet Doc Parse is an agent skill from anbeime/skill.
When should I use Antinet Doc Parse?
Antinet Doc Parse fits situations like: tasks that involve Excel spreadsheets; tasks that involve Retrieval-augmented generation.
How do I install Antinet Doc Parse in Claude Code?
Run `npx skills add anbeime/skill --skill antinet-doc-parse -a claude-code`. Or copy the skill folder (skills/antinet-doc-parse in anbeime/skill) into .claude/skills/antinet-doc-parse in your project. Claude Code loads it when a task matches its description.
How do I install Antinet Doc Parse in Codex?
Run `npx skills add anbeime/skill --skill antinet-doc-parse -a codex`. Or copy the skill folder (skills/antinet-doc-parse in anbeime/skill) into .agents/skills/antinet-doc-parse in your project. Codex loads it when a task matches its description.
Can I use Antinet Doc Parse 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 anbeime/skill --skill antinet-doc-parse -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/antinet-doc-parse, .gemini/skills/antinet-doc-parse, .github/skills/antinet-doc-parse and .opencode/skills/antinet-doc-parse in your project.
What does Antinet Doc Parse need to run?
Going by SKILL.md and its folder, Antinet Doc Parse needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Antinet Doc Parse access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Antinet Doc Parse 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 Antinet Doc Parse use?
Antinet Doc Parse is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Antinet Doc Parse use?
About 305 tokens (SKILL.md is roughly 1.2k 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 Antinet Doc Parse?
Skills that share tags, products or a category with Antinet Doc Parse: Markitdown (aipoch/medical-research-skills, 2k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Doc Cleaner (notoriouslab/doc-cleaner, 309 stars) and Mineru (Nebutra/MinerU-Skill, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Antinet Doc Parse?
anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,605 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.
Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.