[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71CDBDK9XFS183G3FV45KWJ":3,"skill-same:01M71CDBDK9XFS183G3FV45KWJ":77},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":62,"install":63,"resources":76},"01M71CDBDK9XFS183G3FV45KWJ","bgpt-paper-search",null,"Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fbgpt-paper-search\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"paper search","search","paper","bgpt paper search","methods","for","papers","reviews","scientific","literature","sample","MCP","evidence synthesis","evidence","use","text","Bash","server","mcp server","github","2026-11-10 10:12:30",false,"---\nname: bgpt-paper-search\ndescription: Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.\nallowed-tools: Bash\nlicense: MIT\nmetadata:\n    skill-author: BGPT\n    website: https:\u002F\u002Fbgpt.pro\u002Fmcp\n    github: https:\u002F\u002Fgithub.com\u002Fconnerlambden\u002Fbgpt-mcp\n---\n\n# BGPT Paper Search\n\n## Overview\n\nBGPT is a remote MCP server that searches a curated database of scientific papers built from raw experimental data extracted from full-text studies. Unlike traditional literature databases that return titles and abstracts, BGPT returns structured data from the actual paper content — methods, quantitative results, sample sizes, quality assessments, and 25+ metadata fields per paper.\n\n## When to Use This Skill\n\nUse this skill when:\n- Searching for scientific papers with specific experimental details\n- Conducting systematic or scoping literature reviews\n- Finding quantitative results, sample sizes, or effect sizes across studies\n- Comparing methodologies used in different studies\n- Looking for papers with quality scores or evidence grading\n- Needing structured data from full-text papers (not just abstracts)\n- Building evidence tables for meta-analyses or clinical guidelines\n\n## Setup\n\nBGPT is a remote MCP server — no local installation required.\n\n### Claude Desktop \u002F Claude Code\n\nAdd to your MCP configuration:\n\n```json\n{\n  \"mcpServers\": {\n    \"bgpt\": {\n      \"command\": \"npx\",\n      \"args\": [\"mcp-remote\", \"https:\u002F\u002Fbgpt.pro\u002Fmcp\u002Fsse\"]\n    }\n  }\n}\n```\n\n### npm (alternative)\n\n```bash\nnpx bgpt-mcp\n```\n\n## Usage\n\nOnce configured, use the `search_papers` tool provided by the BGPT MCP server:\n\n```\nSearch for papers about: \"CRISPR gene editing efficiency in human cells\"\n```\n\nThe server returns structured results including:\n- **Title, authors, journal, year, DOI**\n- **Methods**: Experimental techniques, models, protocols\n- **Results**: Key findings with quantitative data\n- **Sample sizes**: Number of subjects\u002Fsamples\n- **Quality scores**: Study quality assessments\n- **Conclusions**: Author conclusions and implications\n\n## Pricing\n\n- **Free tier**: 50 searches per network, no API key required\n- **Paid**: $0.01 per result with an API key from [bgpt.pro\u002Fmcp](https:\u002F\u002Fbgpt.pro\u002Fmcp)\n","# BGPT Paper Search\n\n## Overview\n\nBGPT is a remote MCP server that searches a curated database of scientific papers built from raw experimental data extracted from full-text studies. Unlike traditional literature databases that return titles and abstracts, BGPT returns structured data from the actual paper content — methods, quantitative results, sample sizes, quality assessments, and 25+ metadata fields per paper.\n\n## When to Use This Skill\n\nUse this skill when:\n- Searching for scientific papers with specific experimental details\n- Conducting systematic or scoping literature reviews\n- Finding quantitative results, sample sizes, or effect sizes across studies\n- Comparing methodologies used in different studies\n- Looking for papers with quality scores or evidence grading\n- Needing structured data from full-text papers (not just abstracts)\n- Building evidence tables for meta-analyses or clinical guidelines\n\n## Setup\n\nBGPT is a remote MCP server — no local installation required.\n\n### Claude Desktop \u002F Claude Code\n\nAdd to your MCP configuration:\n\n```json\n{\n  \"mcpServers\": {\n    \"bgpt\": {\n      \"command\": \"npx\",\n      \"args\": [\"mcp-remote\", \"https:\u002F\u002Fbgpt.pro\u002Fmcp\u002Fsse\"]\n    }\n  }\n}\n```\n\n### npm (alternative)\n\n```bash\nnpx bgpt-mcp\n```\n\n## Usage\n\nOnce configured, use the `search_papers` tool provided by the BGPT MCP server:\n\n```\nSearch for papers about: \"CRISPR gene editing efficiency in human cells\"\n```\n\nThe server returns structured results including:\n- **Title, authors, journal, year, DOI**\n- **Methods**: Experimental techniques, models, protocols\n- **Results**: Key findings with quantitative data\n- **Sample sizes**: Number of subjects\u002Fsamples\n- **Quality scores**: Study quality assessments\n- **Conclusions**: Author conclusions and implications\n\n## Pricing\n\n- **Free tier**: 50 searches per network, no API key required\n- **Paid**: $0.01 per result with an API key from [bgpt.pro\u002Fmcp](https:\u002F\u002Fbgpt.pro\u002Fmcp)\n",{"name":5,"license":15,"metadata":52,"description":7,"allowed-tools":43},{"github":53,"website":54,"skill-author":55},"https:\u002F\u002Fgithub.com\u002Fconnerlambden\u002Fbgpt-mcp","https:\u002F\u002Fbgpt.pro\u002Fmcp","BGPT","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fbgpt-paper-search",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-11 04:18:12",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bgpt-paper-search",{"tool":69,"command":70},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bgpt-paper-search",{"tool":72,"command":73},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bgpt-paper-search","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fbgpt-paper-search\u002FSKILL.md",true,[],[78,109,137,161,186,214],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":83,"sourceHtmlUrl":84,"categories":85,"keywords":92,"publishedAt":47},"01M71D4H3T6M57DFKN8HENAWRV","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FSKILL.md",[86,89],{"categoryNo":87,"categoryName":88,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[93,94,95,32,96,97,98,99,100,101,102,103,104,105,106,107,108],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","with","playwright","web","behavior","ui","screenshots",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":117,"publishedAt":47},"01M71D4CQR2A2TB7GASCR5ZBG3","skill-creator","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FSKILL.md",[116],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,32,136],"skill creator","creator","performance","improve","run evals","new","when","analysis","create","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":145,"publishedAt":47},"01M71D488XHEZVXXSXFYP8ENMH","playwright-skill","Complete browser automation with Playwright. Auto-detects dev servers, writes reusable test scripts, and supports screenshots, responsive checks, UX validation, login flows, link checks, and arbitrary browser automation. Use when the user wants to test a website, automate browser interactions, validate web functionality, or perform browser-based testing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Flatest-release-browser-automation\u002Fplaywright-skill\u002FSKILL.md",[143,144],{"categoryNo":87,"categoryName":88,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[104,146,147,148,94,149,150,124,43,102,151,152,153,154,155,156,157,158,159,160],"playwright skill","browser automation","flows","auto","access","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":165,"sourceHtmlUrl":166,"categories":167,"keywords":169,"publishedAt":47},"01M71CY25GM939M6RES91QSG3T","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[168],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[170,171,172,105,173,174,175,32,176,177,98,178,41,179,180,181,182,183,184,185],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":190,"sourceHtmlUrl":191,"categories":192,"keywords":202,"publishedAt":47},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[193,194,197],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":195,"categoryName":196,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":198,"categoryName":199,"taxonomyType":200,"taxonomyTypeDesc":201},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[98,203,204,175,205,206,207,96,208,209,41,124,172,210,180,211,181,212,213,103],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":220,"publishedAt":47},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[221,222,223,224,225,35,226,227,228,32,229,230,231,232,233,234,235,236],"zarr python","python","zarr","arrays","Cloud Storage","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]