Mineru PDF Parser
staruhub/ClaudeSkills
用 MinerU 将复杂PDF文档转换为LLM友好的Markdown/JSON格式。适用于:(1) PDF转Markdown/JSON,(2) 提取PDF中的文本、表格、公式、图像,(3) 解析学术论文、技术文档、商业报告,(4) 为RAG应用准备文档数据,(5) 批量处理PDF。触发关键词:"PDF解析"、"PDF转Markdown"、"提取PDF表格/公式"、"MinerU"、"parse…
Official agent skill
Build RAG / unstructured-document evaluation datasets and demo documents (e.g.
$ npx skills add databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-unstructured-pdf-generation --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/databricks/databricks-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .claude/skills/databricks-unstructured-pdf-generation && 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 "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .claude/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generationType 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 databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-unstructured-pdf-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .agents/skills/databricks-unstructured-pdf-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .agents/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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 databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-unstructured-pdf-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .cursor/skills/databricks-unstructured-pdf-generation && 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 "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .cursor/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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/databricks/databricks-agent-skills.git --path skills/databricks-unstructured-pdf-generation--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 databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-unstructured-pdf-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .gemini/skills/databricks-unstructured-pdf-generation && 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 "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .gemini/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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 databricks/databricks-agent-skills databricks-unstructured-pdf-generationInstalls 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 databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .github/skills/databricks-unstructured-pdf-generation && 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 "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .github/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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 databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-unstructured-pdf-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/databricks-unstructured-pdf-generation .opencode/skills/databricks-unstructured-pdf-generation && 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 "databricks-unstructured-pdf-generation" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-unstructured-pdf-generation into .opencode/skills/databricks-unstructured-pdf-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-unstructured-pdf-generation", 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.
databricks-unstructured-pdf-generationBuild RAG / unstructured-document evaluation datasets and demo documents (e.g.
Databricks Unstructured PDF Generation is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Build RAG / unstructured-document evaluation datasets and demo documents (e.g. for Knowledge Assistant) on Databricks: generate synthetic PDFs locally, upload to Unity Catalog volumes, and pair each document with test questions for retrieval evaluation.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and assets (for example `agents/openai.yaml` and `scripts/pdf_generator.py`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Documents & Office, covering PDF, Quizzes and assessments and Retrieval-augmented generation. It works with Databricks. The repository describes itself as: Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f4fcec5. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
databricksuvpythonplaywrightFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires databricks CLI (>= v1.0.0)
From compatibility in the SKILL.md frontmatter.
Databricks Unstructured PDF Generation loads about 1.7k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 591 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 591 words (~1,656 tokens).
“Workflow for producing synthetic PDF documents + paired test questions as a Unity Catalog-resident dataset for Demos and RAG / unstructured-document retrieval evaluation on Databricks. The PDF-generation step uses standard local HTML → PDF tooling; the Databricks-specific value is the…”
SKILL.md and 4 other files (scripts, assets) in skills/databricks-unstructured-pdf-generation of databricks/databricks-agent-skills.
Open the folder on GitHubat commit f4fcec5
Databricks Unstructured PDF Generation 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 |
|---|---|---|---|---|---|---|
| Databricks Unstructured PDF Generation this skilldatabricks/databricks-agent-skills | 345 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Mineru PDF Parserstaruhub/ClaudeSkills | 727 | — | ~671 | Automated safety check: Pass | MIT | |
| Docling Document Conversiondocling-project/docling | 68k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Edgeparseraphaelmansuy/edgeparse | 143 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Opendataloader PDFchujianyun/skills | 740 | — | ~827 | Automated safety check: Pass | Custom licence | |
| Markitdownaipoch/medical-research-skills | 2k | — | ~1.3k | Automated safety check: Pass | MIT |
staruhub/ClaudeSkills
用 MinerU 将复杂PDF文档转换为LLM友好的Markdown/JSON格式。适用于:(1) PDF转Markdown/JSON,(2) 提取PDF中的文本、表格、公式、图像,(3) 解析学术论文、技术文档、商业报告,(4) 为RAG应用准备文档数据,(5) 批量处理PDF。触发关键词:"PDF解析"、"PDF转Markdown"、"提取PDF表格/公式"、"MinerU"、"parse…
docling-project/docling
Converts PDFs, Office files, HTML, images and other documents into a unified DoclingDocument with Markdown or JSON output, through the docling CLI, Python SDK or a remote service.
raphaelmansuy/edgeparse
Extract structured content from any PDF for AI agents, RAG pipelines, and Copilot Skills.
chujianyun/skills
PDF 数据提取工具。当用户提到"PDF 提取"、"PDF 转 Markdown"、"PDF 解析"、"提取 PDF 内容"、"PDF 转 JSON"、"RAG PDF"时使用。OpenDataLoader PDF 是目前基准测试第一的 PDF 解析器,支持本地模式(快速、确定)和混合 AI 模式(复杂表格、扫描件、公式),输出 Markdown、JSON(带边界框)、HTML。适用于需要从…
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).
sundial-org/awesome-openclaw-skills
Interactive Japanese learning assistant. An agent skill from sundial-org/awesome-openclaw-skills.
databricks/databricks-agent-skills
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities.
databricks/databricks-agent-skills
Generate realistic synthetic data using Spark + Faker (strongly recommended).
databricks/databricks-agent-skills
Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.
databricks/databricks-agent-skills
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
databricks/databricks-agent-skills
Comprehensive guide to Spark Structured Streaming for production workloads.
databricks/databricks-agent-skills
Design the UX of custom-code Databricks Apps (AppKit/React) data screens — KPI/overview pages, reports, charts, tables, and Genie/chat data assistants — mapped to concrete AppKit components.
Works with
Categories
Build RAG / unstructured-document evaluation datasets and demo documents (e.g. Databricks Unstructured PDF Generation is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization.g.
Databricks Unstructured PDF Generation fits situations like: tasks that involve PDF; tasks that involve Quizzes and assessments; tasks that involve Retrieval-augmented generation.
Run `npx skills add databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a claude-code`. Or copy the skill folder (skills/databricks-unstructured-pdf-generation in databricks/databricks-agent-skills) into .claude/skills/databricks-unstructured-pdf-generation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a codex`. Or copy the skill folder (skills/databricks-unstructured-pdf-generation in databricks/databricks-agent-skills) into .agents/skills/databricks-unstructured-pdf-generation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks/databricks-agent-skills --skill databricks-unstructured-pdf-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databricks-unstructured-pdf-generation, .gemini/skills/databricks-unstructured-pdf-generation, .github/skills/databricks-unstructured-pdf-generation and .opencode/skills/databricks-unstructured-pdf-generation in your project.
Going by SKILL.md and its folder, Databricks Unstructured PDF Generation needs Python for the scripts in its folder and the command-line tools its instructions call (databricks, uv, python and playwright). Our summary lists: Python 3. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Databricks Unstructured PDF Generation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Databricks Unstructured PDF Generation: Mineru PDF Parser (staruhub/ClaudeSkills, 727 stars), Docling Document Conversion (docling-project/docling, 68k stars), Edgeparse (raphaelmansuy/edgeparse, 143 stars) and Opendataloader PDF (chujianyun/skills, 740 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
databricks (a GitHub organization, an official publisher) maintains it in databricks/databricks-agent-skills, which has 345 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 6, 2026.
Source: databricks/databricks-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.