Documents & Office · Retrieval-augmented generation

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.

docling-project/docling

Answers questions from a local knowledge base folder by walking hierarchical index files and searching with grep, pdfplumber and pandas instead of loading whole files.

ConardLi/rag-skill

Extract structured content from any PDF for AI agents, RAG pipelines, and Copilot Skills.

raphaelmansuy/edgeparse

Search, query, and manage Weaviate vector database collections.

weaviate/agent-skills

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…

staruhub/ClaudeSkills

以 digoal/德哥 的第一人称口吻重写一篇文章。流程是：先吃透原文（必要时用 mcpMiniMaxwebsearch 拓展资料库），再用德哥的语气重新讲一遍，输出 markdown 到当前项目的 markdown/ 目录（SVG 图存到 markdown/svg/，文中以 …

digoal/blog

Semantic + full-text search over documents and the web via basemind's RAG store — PDFs, Office, HTML, email, images (OCR), plus scraped/crawled web pages, with cross-encoder reranking, keyword and…

Goldziher/basemind

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…

chujianyun/skills

Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material.

guaardvark/guaardvark

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).

aipoch/medical-research-skills

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…

brycewang-stanford/Auto-Empirical-Research-Skills

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

neo4j-contrib/neo4j-skills

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！

anbeime/skill

将 PDF/PPT/Excel/Word 等多格式文档解析为结构化 Markdown，并输出元数据与解析置信度，作为 RAG 与四色卡片的数据底座。

anbeime/skill

Build RAG / unstructured-document evaluation datasets and demo documents (e.g.

databricks/databricks-agent-skills

Knowledge management and RAG platform with tree-based document indexing.

LeoYeAI/openclaw-master-skills