[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71B26P1GG9H6CD8TEXN2QWT":3,"skill-same:01M71B26P1GG9H6CD8TEXN2QWT":75},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":6,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":42,"install":43,"resources":56},"01M71B26P1GG9H6CD8TEXN2QWT","bash-script-generator",null,"Create or modify shell scripts using the requested shell and validate the actual output.","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002FSKILL.md",[],[20,21,22,23,24,25,26,27,28,29,30],"Bash","bash script generator","script","generator","validate","create","shell","shell scripts","scripts","output","modify","2026-11-10 10:12:30",false,"---\nname: bash-script-generator\ndescription: Create or modify shell scripts using the requested shell and validate the actual output.\n---\n\n# Shell script generation\n\nBefore repository work, read and apply Mandatory agent tools in the repository root at `docs\u002Fagent-tools.md`: Caveman for every task, CocoIndex Code before broad code navigation, and Crawl4AI for web-page research. Retain actual execution evidence.\n\nDetermine the intended interpreter, inputs, outputs, failure behavior and target environment from the request and existing project. Default to Bash only when no different shell is required. Use the project's conventions and dependencies; do not promise POSIX `sh` portability for Bash-specific syntax or a Bash scaffold. For a POSIX `sh` target, write for that shell and check the actual supported implementations; a syntax check alone does not establish portability.\n\nImplement the requested behavior with appropriate argument handling and meaningful tests. Validate **the generated script itself**, using the intended interpreter's syntax check and, when available, ShellCheck configured for that interpreter. Run representative behavior and failure cases in an isolated test workspace. Report commands, results, unavailable checks and remaining limits. A syntax check does not run the script or establish functional correctness.\n\nDo not assume `set -e` handles every failure. In Bash, a function called as an `if` condition can continue after a failing command even when `errexit` is enabled; explicitly propagate failures that matter. With Bash `pipefail`, check the pipeline result and do not interpret it as identifying the command that finished last. Test the actual control flow and shell versions used by the script.\n\nThe upstream `scripts\u002Frun_ci_checks.sh` checks the skill's bundled files and its own regression tests; it does not accept the generated script as an input. Its passing result is not validation of the user's output. The upstream standard template uses Bash features and is not a POSIX `sh` scaffold.\n\nThe original upstream instructions are preserved at `provenance\u002Foriginal.SKILL.md`. This overlay addresses selected interpreter and validation issues; its component controls do not measure coding-agent effectiveness.\n","# Shell script generation\n\nBefore repository work, read and apply Mandatory agent tools in the repository root at `docs\u002Fagent-tools.md`: Caveman for every task, CocoIndex Code before broad code navigation, and Crawl4AI for web-page research. Retain actual execution evidence.\n\nDetermine the intended interpreter, inputs, outputs, failure behavior and target environment from the request and existing project. Default to Bash only when no different shell is required. Use the project's conventions and dependencies; do not promise POSIX `sh` portability for Bash-specific syntax or a Bash scaffold. For a POSIX `sh` target, write for that shell and check the actual supported implementations; a syntax check alone does not establish portability.\n\nImplement the requested behavior with appropriate argument handling and meaningful tests. Validate **the generated script itself**, using the intended interpreter's syntax check and, when available, ShellCheck configured for that interpreter. Run representative behavior and failure cases in an isolated test workspace. Report commands, results, unavailable checks and remaining limits. A syntax check does not run the script or establish functional correctness.\n\nDo not assume `set -e` handles every failure. In Bash, a function called as an `if` condition can continue after a failing command even when `errexit` is enabled; explicitly propagate failures that matter. With Bash `pipefail`, check the pipeline result and do not interpret it as identifying the command that finished last. Test the actual control flow and shell versions used by the script.\n\nThe upstream `scripts\u002Frun_ci_checks.sh` checks the skill's bundled files and its own regression tests; it does not accept the generated script as an input. Its passing result is not validation of the user's output. The upstream standard template uses Bash features and is not a POSIX `sh` scaffold.\n\nThe original upstream instructions are preserved at `provenance\u002Foriginal.SKILL.md`. This overlay addresses selected interpreter and validation issues; its component controls do not measure coding-agent effectiveness.\n",{"name":5,"description":7},"main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator",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":44,"prompt":54,"zipAvailable":55},[45,48,51],{"tool":46,"command":47},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bash-script-generator",{"tool":49,"command":50},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bash-script-generator",{"tool":52,"command":53},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill bash-script-generator","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002FSKILL.md",true,[57,61,67,71],{"path":58,"resourceType":58,"resourceTypeDesc":59,"sizeBytes":60,"sourceHtmlUrl":16},"LICENSE","许可证",11356,{"path":62,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":65,"sourceHtmlUrl":66},"provenance\u002Foriginal.SKILL.md","REFERENCE","参考文档",6812,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002Fprovenance\u002Foriginal.SKILL.md",{"path":68,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":69,"sourceHtmlUrl":70},"provenance\u002Fprior-overlay.SKILL.md",1866,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002Fprovenance\u002Fprior-overlay.SKILL.md",{"path":72,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":73,"sourceHtmlUrl":74},"repair.json",1997,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fdevops-cloud-operations\u002Flatest-release-devops\u002Fbash-script-generator\u002Frepair.json",[76,109,137,161,187,215],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":91,"publishedAt":31},"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.","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",[83,88],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":89,"categoryName":90,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000009","前端开发",[92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108],"webapp","testing","webapp testing","for","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":15,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":119,"publishedAt":31},"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":117,"categoryName":118,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000023","Skill与智能体开发",[120,121,122,123,124,125,126,127,25,128,129,130,131,132,133,134,135,30,95,136],"skill creator","creator","performance","improve","run evals","new","when","analysis","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","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":141,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":146,"publishedAt":31},"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.","MIT","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",[144,145],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},{"categoryNo":117,"categoryName":118,"taxonomyType":86,"taxonomyTypeDesc":87},[104,147,148,149,93,150,151,126,20,102,152,153,154,28,155,156,157,158,159,160],"playwright skill","browser automation","flows","auto","access","website","ux","login","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":15,"licenseFileUrl":165,"sourceHtmlUrl":166,"categories":167,"keywords":169,"publishedAt":31},"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":89,"categoryName":90,"taxonomyType":86,"taxonomyTypeDesc":87},[170,171,172,105,173,174,175,95,176,177,98,178,179,180,181,182,183,184,185,186],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","use","file","components","react","multi","state","routing","state management",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":191,"sourceHtmlUrl":192,"categories":193,"keywords":203,"publishedAt":31},"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",[194,195,198],{"categoryNo":89,"categoryName":90,"taxonomyType":86,"taxonomyTypeDesc":87},{"categoryNo":196,"categoryName":197,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":199,"categoryName":200,"taxonomyType":201,"taxonomyTypeDesc":202},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[98,204,205,175,206,207,208,96,209,210,179,126,172,211,181,212,182,213,214,103],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":141,"licenseFileUrl":6,"sourceHtmlUrl":219,"categories":220,"keywords":221,"publishedAt":31},"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",[],[222,223,224,225,226,227,228,229,230,95,231,232,233,234,235,236,237,238],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]