[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ET04RWP2D3W4SC4776XYMT":3,"skill-same:01M6ET04RWP2D3W4SC4776XYMT":68},{"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":28,"linkOnly":29,"markdownContent":30,"markdownBody":31,"frontMatter":32,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":38,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":40,"updatedAt":41,"install":42,"resources":55},"01M6ET04RWP2D3W4SC4776XYMT","arxiv-search",null,"Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fdougtrajano\u002Farxiv-search\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27],"search","arxiv","arxiv search","repository","science","computer","mathematics","physics","biology","2026-11-10 10:12:30",false,"---\nname: arxiv-search\ndescription: Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.\n---\n\n# arXiv Search Skill\n\nThis skill provides access to arXiv, a free distribution service and open-access archive for scholarly articles in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, systems science, and economics.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n\n- Find preprints and recent research papers before journal publication\n- Search for papers in computational biology, bioinformatics, or systems biology\n- Access mathematical or statistical methods papers relevant to biology\n- Find machine learning papers applied to biological problems\n- Get the latest research that may not yet be in PubMed\n\n## Skill Scripts\n\n### arxiv_search\n\nThe `arxiv_search` script accepts the following arguments:\n\n- First argument (required): Search query string (e.g., \"neural networks protein structure\", \"single cell RNA-seq\")\n- `--max-papers` (optional): Maximum number of papers to retrieve (default: 10)\n\n### Usage Pattern\n\nUse the `run_skill_script` tool to execute the `arxiv_search` script. For example:\n\n```python\nrun_skill_script(\n    skill_name=\"arxiv-search\",\n    script_name=\"arxiv_search\",\n    args=[\"your search query\", \"--max-papers\", \"5\"]\n)\n```\n\nSearch for computational biology papers (default 10 results):\n\n```python\nrun_skill_script(\n    skill_name=\"arxiv-search\",\n    script_name=\"arxiv_search\",\n    args=[\"protein folding prediction\"]\n)\n```\n\n## Output Format\n\nThe script returns formatted results with:\n\n- **Title**: Paper title\n- **Summary**: Abstract\u002Fsummary text\n- **URL**: Direct link to the paper on arXiv\n\nEach paper is separated by blank lines for readability.\n\n## Features\n\n- **Relevance sorting**: Results ordered by relevance to query\n- **Fast retrieval**: Direct API access with no authentication required\n- **Simple interface**: Clean, easy-to-parse output\n- **No API key required**: Free access to arXiv database\n\n## Dependencies\n\nThis skill requires the `arxiv` Python package. If not installed, you'll see an error message.\n\nTo install the package:\n\n```bash\npip install arxiv\n```\n\nThe package is not included by default since it's skill-specific. Install it when you first use this skill.\n\n## Notes\n\n- arXiv is particularly strong for:\n  - Computer science (cs.LG, cs.AI, cs.CV)\n  - Quantitative biology (q-bio)\n  - Statistics (stat.ML)\n  - Physics and mathematics\n- Papers are preprints and may not be peer-reviewed\n- Results include both recent uploads and older papers\n- Best for computational\u002Ftheoretical work in biology\n","# arXiv Search Skill\n\nThis skill provides access to arXiv, a free distribution service and open-access archive for scholarly articles in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, systems science, and economics.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n\n- Find preprints and recent research papers before journal publication\n- Search for papers in computational biology, bioinformatics, or systems biology\n- Access mathematical or statistical methods papers relevant to biology\n- Find machine learning papers applied to biological problems\n- Get the latest research that may not yet be in PubMed\n\n## Skill Scripts\n\n### arxiv_search\n\nThe `arxiv_search` script accepts the following arguments:\n\n- First argument (required): Search query string (e.g., \"neural networks protein structure\", \"single cell RNA-seq\")\n- `--max-papers` (optional): Maximum number of papers to retrieve (default: 10)\n\n### Usage Pattern\n\nUse the `run_skill_script` tool to execute the `arxiv_search` script. For example:\n\n```python\nrun_skill_script(\n    skill_name=\"arxiv-search\",\n    script_name=\"arxiv_search\",\n    args=[\"your search query\", \"--max-papers\", \"5\"]\n)\n```\n\nSearch for computational biology papers (default 10 results):\n\n```python\nrun_skill_script(\n    skill_name=\"arxiv-search\",\n    script_name=\"arxiv_search\",\n    args=[\"protein folding prediction\"]\n)\n```\n\n## Output Format\n\nThe script returns formatted results with:\n\n- **Title**: Paper title\n- **Summary**: Abstract\u002Fsummary text\n- **URL**: Direct link to the paper on arXiv\n\nEach paper is separated by blank lines for readability.\n\n## Features\n\n- **Relevance sorting**: Results ordered by relevance to query\n- **Fast retrieval**: Direct API access with no authentication required\n- **Simple interface**: Clean, easy-to-parse output\n- **No API key required**: Free access to arXiv database\n\n## Dependencies\n\nThis skill requires the `arxiv` Python package. If not installed, you'll see an error message.\n\nTo install the package:\n\n```bash\npip install arxiv\n```\n\nThe package is not included by default since it's skill-specific. Install it when you first use this skill.\n\n## Notes\n\n- arXiv is particularly strong for:\n  - Computer science (cs.LG, cs.AI, cs.CV)\n  - Quantitative biology (q-bio)\n  - Statistics (stat.ML)\n  - Physics and mathematics\n- Papers are preprints and may not be peer-reviewed\n- Results include both recent uploads and older papers\n- Best for computational\u002Ftheoretical work in biology\n",{"name":5,"description":7},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Faiskillstore\u002Fmarketplace\u002Fdougtrajano\u002Farxiv-search",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill arxiv-search",{"tool":48,"command":49},"bunx","bunx skills add 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