[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71CMJ2CY6RZJRFP4EVJEN2H":3,"skill-same:01M71CMJ2CY6RZJRFP4EVJEN2H":66},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M71CMJ2CY6RZJRFP4EVJEN2H","paperzilla",null,"Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.","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\u002Fpaperzilla\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"users","export","about","recommendations","markdown","paper","summaries","atom","with","chat","ask","when","use","recommendation","project","for","papers","feedback","projects","2026-11-10 10:12:30",false,"---\nname: paperzilla\ndescription: Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.\nlicense: MIT\nmetadata:\n  skill-author: \"Paperzilla Inc\"\n---\n\n# Paperzilla\n\nUse this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla.\n\n## What you can ask\n\n- \"Give me the latest recommendations from project X.\"\n- \"Open recommendation Y and explain why it matters.\"\n- \"Fetch canonical paper Z as markdown and summarize it.\"\n- \"Tell me how this paper is relevant to my research.\"\n- \"Show me the feed for project X.\"\n- \"Leave feedback on a recommendation.\"\n- \"Export this paper, recommendation, or feed as JSON.\"\n\nThis is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration.\n\n## Access method\n\nMost current profiles in this repo use the `pz` CLI.\n\nIf the current profile ships extra agent-specific instructions, follow those as well.\n\n## Install\n\n### macOS\n```bash\nbrew install paperzilla-ai\u002Ftap\u002Fpz\n```\n\n### Windows (Scoop)\n```bash\nscoop bucket add paperzilla-ai https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fscoop-bucket\nscoop install pz\n```\n\n### Linux\nUse the official Linux install guide:\n\n- https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n\n### Build from source (Go 1.23+)\nSee the CLI repository for source builds:\n\n- https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Update\n\nCheck whether your CLI is up to date and get install-specific upgrade steps:\n\n```bash\npz update\n```\n\nIf detection is ambiguous, override it explicitly:\n\n```bash\npz update --install-method homebrew\npz update --install-method scoop\npz update --install-method release\npz update --install-method source\n```\n\nSupported values are `auto`, `homebrew`, `scoop`, `release`, and `source`.\n\n## Authentication\n\n```bash\npz login\n```\n\n## CLI reference\n\nIf the current profile uses `pz`, these are the core commands.\n\n### List projects\n```bash\npz project list\n```\n\n### Show one project\n```bash\npz project \u003Cproject-id>\n```\n\n### Browse project feed\n```bash\npz feed \u003Cproject-id>\n```\n\nUseful flags:\n- `--must-read`\n- `--since YYYY-MM-DD`\n- `--limit N`\n- `--json`\n- `--atom`\n\nExamples:\n```bash\npz feed \u003Cproject-id> --must-read --since 2026-03-01 --limit 5\npz feed \u003Cproject-id> --json\npz feed \u003Cproject-id> --atom\n```\n\nFeed output can include existing recommendation feedback markers:\n\n- `[↑]` upvote\n- `[↓]` downvote\n- `[★]` star\n\n### Read a canonical paper\n```bash\npz paper \u003Cpaper-id>\npz paper \u003Cpaper-id> --json\npz paper \u003Cpaper-id> --markdown\npz paper \u003Cpaper-id> --project \u003Cproject-id>\n```\n\n### Open a recommendation from one of your projects\n```bash\npz rec \u003Cproject-paper-id>\npz rec \u003Cproject-paper-id> --json\npz rec \u003Cproject-paper-id> --markdown\n```\n\n### Leave recommendation feedback\n```bash\npz feedback \u003Cproject-paper-id> upvote\npz feedback \u003Cproject-paper-id> star\npz feedback \u003Cproject-paper-id> downvote --reason not_relevant\npz feedback clear \u003Cproject-paper-id>\n```\n\n## Output and automation\n\n- Prefer `--json` for machine parsing.\n- `pz paper --markdown` only returns markdown when it is already prepared.\n- `pz rec --markdown` can queue markdown generation and prints a friendly retry message while it is still being prepared.\n- `--atom` returns a personal feed URL for feed readers.\n\n## Configuration\n\n```bash\nexport PZ_API_URL=\"https:\u002F\u002Fpaperzilla.ai\"\n```\n\n## References\n\n- Docs: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli\n- Quickstart: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n- Repo: https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n","# Paperzilla\n\nUse this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla.\n\n## What you can ask\n\n- \"Give me the latest recommendations from project X.\"\n- \"Open recommendation Y and explain why it matters.\"\n- \"Fetch canonical paper Z as markdown and summarize it.\"\n- \"Tell me how this paper is relevant to my research.\"\n- \"Show me the feed for project X.\"\n- \"Leave feedback on a recommendation.\"\n- \"Export this paper, recommendation, or feed as JSON.\"\n\nThis is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration.\n\n## Access method\n\nMost current profiles in this repo use the `pz` CLI.\n\nIf the current profile ships extra agent-specific instructions, follow those as well.\n\n## Install\n\n### macOS\n```bash\nbrew install paperzilla-ai\u002Ftap\u002Fpz\n```\n\n### Windows (Scoop)\n```bash\nscoop bucket add paperzilla-ai https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fscoop-bucket\nscoop install pz\n```\n\n### Linux\nUse the official Linux install guide:\n\n- https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n\n### Build from source (Go 1.23+)\nSee the CLI repository for source builds:\n\n- https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n\n## Update\n\nCheck whether your CLI is up to date and get install-specific upgrade steps:\n\n```bash\npz update\n```\n\nIf detection is ambiguous, override it explicitly:\n\n```bash\npz update --install-method homebrew\npz update --install-method scoop\npz update --install-method release\npz update --install-method source\n```\n\nSupported values are `auto`, `homebrew`, `scoop`, `release`, and `source`.\n\n## Authentication\n\n```bash\npz login\n```\n\n## CLI reference\n\nIf the current profile uses `pz`, these are the core commands.\n\n### List projects\n```bash\npz project list\n```\n\n### Show one project\n```bash\npz project \u003Cproject-id>\n```\n\n### Browse project feed\n```bash\npz feed \u003Cproject-id>\n```\n\nUseful flags:\n- `--must-read`\n- `--since YYYY-MM-DD`\n- `--limit N`\n- `--json`\n- `--atom`\n\nExamples:\n```bash\npz feed \u003Cproject-id> --must-read --since 2026-03-01 --limit 5\npz feed \u003Cproject-id> --json\npz feed \u003Cproject-id> --atom\n```\n\nFeed output can include existing recommendation feedback markers:\n\n- `[↑]` upvote\n- `[↓]` downvote\n- `[★]` star\n\n### Read a canonical paper\n```bash\npz paper \u003Cpaper-id>\npz paper \u003Cpaper-id> --json\npz paper \u003Cpaper-id> --markdown\npz paper \u003Cpaper-id> --project \u003Cproject-id>\n```\n\n### Open a recommendation from one of your projects\n```bash\npz rec \u003Cproject-paper-id>\npz rec \u003Cproject-paper-id> --json\npz rec \u003Cproject-paper-id> --markdown\n```\n\n### Leave recommendation feedback\n```bash\npz feedback \u003Cproject-paper-id> upvote\npz feedback \u003Cproject-paper-id> star\npz feedback \u003Cproject-paper-id> downvote --reason not_relevant\npz feedback clear \u003Cproject-paper-id>\n```\n\n## Output and automation\n\n- Prefer `--json` for machine parsing.\n- `pz paper --markdown` only returns markdown when it is already prepared.\n- `pz rec --markdown` can queue markdown generation and prints a friendly retry message while it is still being prepared.\n- `--atom` returns a personal feed URL for feed readers.\n\n## Configuration\n\n```bash\nexport PZ_API_URL=\"https:\u002F\u002Fpaperzilla.ai\"\n```\n\n## References\n\n- Docs: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli\n- Quickstart: https:\u002F\u002Fdocs.paperzilla.ai\u002Fguides\u002Fcli-getting-started\n- Repo: https:\u002F\u002Fgithub.com\u002Fpaperzilla-ai\u002Fpz\n",{"name":5,"license":15,"metadata":43,"description":7},{"skill-author":44},"Paperzilla Inc","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fpaperzilla",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":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill paperzilla",{"tool":58,"command":59},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill paperzilla",{"tool":61,"command":62},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill paperzilla","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\u002Fpaperzilla\u002FSKILL.md",true,[],[67,99,128,153,178,206],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":71,"licenseFileUrl":72,"sourceHtmlUrl":73,"categories":74,"keywords":83,"publishedAt":38},"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",[75,80],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":81,"categoryName":82,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000009","前端开发",[84,85,86,34,87,88,89,90,91,92,93,27,94,95,96,97,98],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":71,"licenseFileUrl":103,"sourceHtmlUrl":104,"categories":105,"keywords":109,"publishedAt":38},"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",[106],{"categoryNo":107,"categoryName":108,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000023","Skill与智能体开发",[110,111,112,113,114,115,30,116,117,118,119,120,121,122,123,124,125,126,34,127],"skill creator","creator","performance","improve","run evals","new","analysis","create","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":136,"publishedAt":38},"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",[134,135],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":107,"categoryName":108,"taxonomyType":78,"taxonomyTypeDesc":79},[94,137,138,139,85,140,141,30,142,93,143,144,145,146,147,148,149,150,151,152],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":71,"licenseFileUrl":157,"sourceHtmlUrl":158,"categories":159,"keywords":161,"publishedAt":38},"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",[160],{"categoryNo":81,"categoryName":82,"taxonomyType":78,"taxonomyTypeDesc":79},[162,163,164,95,165,166,167,34,168,169,89,170,31,171,172,173,174,175,176,177],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":71,"licenseFileUrl":182,"sourceHtmlUrl":183,"categories":184,"keywords":194,"publishedAt":38},"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",[185,186,189],{"categoryNo":81,"categoryName":82,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":187,"categoryName":188,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":190,"categoryName":191,"taxonomyType":192,"taxonomyTypeDesc":193},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[89,195,196,167,197,198,199,87,200,201,31,30,164,202,172,203,173,204,205,27],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":212,"publishedAt":38},"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",[],[213,214,215,216,217,218,219,220,221,34,222,223,224,225,226,227,228,229],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]