qmd 是做什么的？
本地混合搜索，适用于Markdown笔记和文档。在搜索笔记、查找相关内容或从索引集合中检索文档时使用。
针对Markdown笔记和文档的本地混合搜索工具。用于搜索笔记、查找相关内容或从索引集合中检索文档。
levineam/qmd 是一个为开发者设计的本地混合搜索技能，专门用于在Markdown笔记和文档集合中进行高效检索。它结合了关键词搜索和语义搜索的优势，能够提供更准确、更相关的搜索结果。该技能适用于多个AI代理平台，包括Claude Code、Cursor等，通过索引本地Markdown文件并利用混合搜索算法，帮助用户快速找到所需信息。无论是日常笔记整理、项目文档检索，还是知识库管理，qmd都能显著提升搜索效率，减少手动查找的时间。其核心在于本地运行，无需互联网连接，确保了数据隐私和快速响应。
npx skills add https://github.com/levineam/qmd-skill/tree/main/skills/qmdInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
本地混合搜索，适用于Markdown笔记和文档。在搜索笔记、查找相关内容或从索引集合中检索文档时使用。
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors