发现优质的 AI Agent 技能

来自 openclaw/skills 技能

This document provides an index to all M2Wise reference documentation.

RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory, file search, semantic retrieval. Triggers on "openviking", "search documents", "semantic search", "knowledge base", "vector database", "RAG", "query pdf", "document query", "add resource".

Use `nano-pdf` to apply edits to a specific page in a PDF using a natural-language instruction.

All notable changes to this project will be documented in this file.

This document defines the **Stack Underflow Protocol**, which allows AI agents to retrieve verified solutions and share non-sensitive technical findings.

Labradoc is an AI document intelligence platform that unifies emails, documents, and photos into one searchable system. It provides natural-language search and contextual answers over your own data, supports Gmail and Google Drive integrations, email forwarding, and manual uploads, and emphasizes GDPR-aligned hosting in Germany with strong privacy controls.

Direct access to the Google Docs API using OAuth 2.0. Create documents, insert and format text, and manage document content.

Analyze any text document for readability, word count, keyword density, and more. Perfect for content optimization, SEO analysis, or writing improvement.

Convert Markdown to professional PDFs with full Chinese/Japanese/Korean text support.

Generate professional PDF invoices from natural language or structured data. Works offline, no external service needed.

A complete toolkit for processing Microsoft Word documents (.docx and legacy .doc formats).