[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CW20DBMW91CDWYGDFYAX79":3,"skill-same:01M6CW20DBMW91CDWYGDFYAX79":56},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":27,"linkOnly":28,"markdownContent":29,"markdownBody":30,"frontMatter":31,"refName":32,"commitSha":33,"skillDirectory":34,"forksCount":35,"repositoryHtmlUrl":36,"repositoryHomepageUrl":37,"ownerHtmlUrl":38,"ownerBlogUrl":39,"ownerDescription":40,"updatedAt":41,"install":42,"resources":55},"01M6CW20DBMW91CDWYGDFYAX79","qmd",null,"Use when searching markdown notes, meeting transcripts, documentation, or knowledge bases from the command line.","jterrazz\u002Fspwn","jterrazz","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F18480834?v=4","01M6BXZ37DPSKSVP6HRWNQQX76","Jean-Baptiste Terrazzoni","01M6CW1P9PNS28GCHF6JRQT81H",14,"MIT","https:\u002F\u002Fgithub.com\u002Fjterrazz\u002Fspwn\u002Fblob\u002Fmain\u002Fcatalog\u002Fqmd\u002Fskills\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26],"documentation","notes","command line","markdown","knowledge","command","use","bases","2026-11-10 10:12:30",false,"---\nname: qmd\ndescription: Use when searching markdown notes, meeting transcripts, documentation, or knowledge bases from the command line.\n---\n\n# QMD - Query Markdown Documents\n\nQMD is an on-device search engine for markdown notes, meeting transcripts, documentation, and knowledge bases.\n\n## Usage\n```bash\nqmd search \"your query\"              # Search indexed documents\nqmd index \u002Fpath\u002Fto\u002Fdocs              # Index a directory\nqmd search --semantic \"concept\"      # Semantic search with embeddings\n```\n\n## Features\n- BM25 full-text search for keyword matching\n- Vector semantic search using local embeddings\n- LLM re-ranking for contextual retrieval\n- Hybrid approach ideal for agentic workflows\n\n## When to Use\nUse QMD when you need to search through large knowledge bases, documentation, or notes.\nIt runs entirely locally - no external API calls needed for search.\n","# QMD - Query Markdown Documents\n\nQMD is an on-device search engine for markdown notes, meeting transcripts, documentation, and knowledge bases.\n\n## Usage\n```bash\nqmd search \"your query\"              # Search indexed documents\nqmd index \u002Fpath\u002Fto\u002Fdocs              # Index a directory\nqmd search --semantic \"concept\"      # Semantic search with embeddings\n```\n\n## Features\n- BM25 full-text search for keyword matching\n- Vector semantic search using local embeddings\n- LLM re-ranking for contextual retrieval\n- Hybrid approach ideal for agentic workflows\n\n## When to Use\nUse QMD when you need to search through large knowledge bases, documentation, or notes.\nIt runs entirely locally - no external API calls needed for search.\n",{"name":5,"description":7},"main","20cf5accec5beddb7405c73bd2a24d93dbded5cb","catalog\u002Fqmd\u002Fskills",1,"https:\u002F\u002Fgithub.com\u002Fjterrazz\u002Fspwn","https:\u002F\u002Fspwn.sh","https:\u002F\u002Fgithub.com\u002Fjterrazz","https:\u002F\u002Fjterrazz.com","Ideas to explore. 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