[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7A8SBXJMM6WSWXGDWSFVNEJ":3,"skill-same:01M7A8SBXJMM6WSWXGDWSFVNEJ":50},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":23,"commitSha":24,"skillDirectory":25,"forksCount":13,"repositoryHtmlUrl":26,"repositoryHomepageUrl":6,"ownerHtmlUrl":27,"ownerBlogUrl":6,"ownerDescription":28,"updatedAt":29,"install":30,"resources":43},"01M7A8SBXJMM6WSWXGDWSFVNEJ","arxiv-search",null,"Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.","zishuQ\u002Fcaro","zishuQ","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F101620129?v=4","01M7A8QPVX3G6M96J515P97Z6Z","01M7A8QPWJKD26KCWNFMD5H5R0",0,"MIT","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcli\u002Fexamples\u002Fskills\u002Farxiv-search\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: arxiv-search\ndescription: Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.\n---\n\n# arXiv Search Skill\n\n## Usage\n\nRun the bundled Python script using the absolute skills directory path from your system prompt:\n\n```bash\n.venv\u002Fbin\u002Fpython [YOUR_SKILLS_DIR]\u002Farxiv-search\u002Farxiv_search.py \"your search query\" [--max-papers N]\n```\n\n- `query` (required): Search query string\n- `--max-papers` (optional): Maximum results to retrieve (default: 10)\n\n### Example\n\n```bash\n.venv\u002Fbin\u002Fpython ~\u002F.deepagents\u002Fagent\u002Fskills\u002Farxiv-search\u002Farxiv_search.py \"deep learning drug discovery\" --max-papers 5\n```\n\nReturns title and abstract for each matching paper, sorted by relevance.\n\n## Dependencies\n\nRequires the `arxiv` Python package. If missing, install with:\n\n```bash\n.venv\u002Fbin\u002Fpython -m pip install arxiv\n```\n","# arXiv Search Skill\n\n## Usage\n\nRun the bundled Python script using the absolute skills directory path from your system prompt:\n\n```bash\n.venv\u002Fbin\u002Fpython [YOUR_SKILLS_DIR]\u002Farxiv-search\u002Farxiv_search.py \"your search query\" [--max-papers N]\n```\n\n- `query` (required): Search query string\n- `--max-papers` (optional): Maximum results to retrieve (default: 10)\n\n### Example\n\n```bash\n.venv\u002Fbin\u002Fpython ~\u002F.deepagents\u002Fagent\u002Fskills\u002Farxiv-search\u002Farxiv_search.py \"deep learning drug discovery\" --max-papers 5\n```\n\nReturns title and abstract for each matching paper, sorted by relevance.\n\n## Dependencies\n\nRequires the `arxiv` Python package. If missing, install with:\n\n```bash\n.venv\u002Fbin\u002Fpython -m pip install arxiv\n```\n",{"name":5,"description":7},"main","308ef8884cbeee472a87f78d42e07157b5f754cb","libs\u002Fcli\u002Fexamples\u002Fskills\u002Farxiv-search","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro","https:\u002F\u002Fgithub.com\u002FzishuQ","Hi, I'm a master student in Jilin University. Currently learning Multiple-Object Tracking.","2026-11-01 11:38:57",{"source":8,"skillName":5,"commands":31,"prompt":41,"zipAvailable":42},[32,35,38],{"tool":33,"command":34},"npx","npx skills add zishuQ\u002Fcaro --skill arxiv-search",{"tool":36,"command":37},"bunx","bunx skills add zishuQ\u002Fcaro --skill arxiv-search",{"tool":39,"command":40},"pnpm","pnpm dlx skills add zishuQ\u002Fcaro --skill arxiv-search","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcli\u002Fexamples\u002Fskills\u002Farxiv-search\u002FSKILL.md",true,[44],{"path":45,"resourceType":46,"resourceTypeDesc":47,"sizeBytes":48,"sourceHtmlUrl":49},"arxiv_search.py","SCRIPT","脚本",1653,"https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcli\u002Fexamples\u002Fskills\u002Farxiv-search\u002Farxiv_search.py",[51,58,65,72,77,82],{"skillNo":52,"name":53,"nameZh":6,"description":54,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":57,"publishedAt":18},"01M7A8V3220H7TJJXNVEASE64F","web-research","Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fexamples\u002Fskills\u002Fweb-research\u002FSKILL.md",[],[],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":64,"publishedAt":18},"01M7A8TVKS7J5N6G2VMCM95FD4","skill-creator","Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fexamples\u002Fskills\u002Fskill-creator\u002FSKILL.md",[],[],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":18},"01M7A8TR2M63HJWF375F8GPQ6Z","langgraph-docs","Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fexamples\u002Fskills\u002Flanggraph-docs\u002FSKILL.md",[],[],{"skillNo":73,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":18},"01M7A8TN761B9H8AJHNYNH9XE1","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fexamples\u002Fskills\u002Farxiv-search\u002FSKILL.md",[],[],{"skillNo":78,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":18},"01M7A8TDWSYFDYN9QWC23JXYBZ","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fdeepagents_code\u002Fbuilt_in_skills\u002Fskill-creator\u002FSKILL.md",[],[],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":18},"01M7A8T75C726JZQEBJ7PBX4V6","remember","Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.","https:\u002F\u002Fgithub.com\u002FzishuQ\u002Fcaro\u002Fblob\u002Fmain\u002Flibs\u002Fcode\u002Fdeepagents_code\u002Fbuilt_in_skills\u002Fremember\u002FSKILL.md",[],[]]