[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PEF1Y5ZVDXSAWR0BV92FSG":3,"skill-same:01M6PEF1Y5ZVDXSAWR0BV92FSG":88},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6PEF1Y5ZVDXSAWR0BV92FSG","performing-regression-analysis",null,"This skill empowers Claude to perform regression analysis and modeling using the regression-analysis-tool plugin. It analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performance metrics. Use this skill when the user explicitly requests regression analysis, prediction based on data, or mentions terms like \"linear regression,\" \"polynomial regression,\" \"regression model,\" or \"predictive modeling.\" This skill is also helpful when the user needs to understand the relationship between variables in a dataset.","sandraschi\u002Fdocumentation-mcp","sandraschi","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F34750307?v=4","01M6C42H9WE5EC9CK3N5RGZP8S","Sandra Schipal","01M6PE1X2FZP8KR5GANPPFTHA8",2,"MIT","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"Performing Regression Analysis","performing","regression","analysis","relationship","plugin","requests","Variables","understand","linear regression","dataset","modeling","performance metrics","performance","datasets","models","use","data","model","tool","2026-11-10 10:12:30",false,"---\nname: performing-regression-analysis\ndescription: |\n  This skill empowers Claude to perform regression analysis and modeling using the regression-analysis-tool plugin. It analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performance metrics. Use this skill when the user explicitly requests regression analysis, prediction based on data, or mentions terms like \"linear regression,\" \"polynomial regression,\" \"regression model,\" or \"predictive modeling.\" This skill is also helpful when the user needs to understand the relationship between variables in a dataset.\n---\n\n## Overview\n\nThis skill enables Claude to analyze data, build regression models, and provide insights into the relationships between variables. It leverages the regression-analysis-tool plugin to automate the process and ensure best practices are followed.\n\n## How It Works\n\n1. **Data Analysis**: Claude analyzes the provided data to understand its structure and identify potential relationships between variables.\n2. **Model Generation**: Based on the data, Claude generates appropriate regression models (e.g., linear, polynomial).\n3. **Model Validation**: Claude validates the generated models to ensure their accuracy and reliability.\n4. **Performance Reporting**: Claude provides performance metrics and insights into the model's effectiveness.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Perform regression analysis on a given dataset.\n- Predict future values based on existing data using regression models.\n- Understand the relationship between independent and dependent variables.\n- Evaluate the performance of a regression model.\n\n## Examples\n\n### Example 1: Predicting House Prices\n\nUser request: \"Can you build a regression model to predict house prices based on square footage and number of bedrooms?\"\n\nThe skill will:\n1. Analyze the provided data on house prices, square footage, and number of bedrooms.\n2. Generate a regression model (likely multiple to compare) to predict house prices.\n3. Provide performance metrics such as R-squared and RMSE.\n\n### Example 2: Analyzing Sales Trends\n\nUser request: \"I need to analyze the sales data for the past year and identify any trends using regression analysis.\"\n\nThe skill will:\n1. Analyze the provided sales data.\n2. Generate a regression model to identify trends and patterns in the sales data.\n3. Visualize the trend and report the equation and R-squared value.\n\n## Best Practices\n\n- **Data Preparation**: Ensure the data is clean and preprocessed before performing regression analysis.\n- **Model Selection**: Choose the appropriate regression model based on the data and the problem.\n- **Validation**: Always validate the model to ensure its accuracy and reliability.\n\n## Integration\n\nThis skill works independently using the regression-analysis-tool plugin. It can be used in conjunction with other data analysis and visualization tools to provide a comprehensive understanding of the data.\n","## Overview\n\nThis skill enables Claude to analyze data, build regression models, and provide insights into the relationships between variables. It leverages the regression-analysis-tool plugin to automate the process and ensure best practices are followed.\n\n## How It Works\n\n1. **Data Analysis**: Claude analyzes the provided data to understand its structure and identify potential relationships between variables.\n2. **Model Generation**: Based on the data, Claude generates appropriate regression models (e.g., linear, polynomial).\n3. **Model Validation**: Claude validates the generated models to ensure their accuracy and reliability.\n4. **Performance Reporting**: Claude provides performance metrics and insights into the model's effectiveness.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Perform regression analysis on a given dataset.\n- Predict future values based on existing data using regression models.\n- Understand the relationship between independent and dependent variables.\n- Evaluate the performance of a regression model.\n\n## Examples\n\n### Example 1: Predicting House Prices\n\nUser request: \"Can you build a regression model to predict house prices based on square footage and number of bedrooms?\"\n\nThe skill will:\n1. Analyze the provided data on house prices, square footage, and number of bedrooms.\n2. Generate a regression model (likely multiple to compare) to predict house prices.\n3. Provide performance metrics such as R-squared and RMSE.\n\n### Example 2: Analyzing Sales Trends\n\nUser request: \"I need to analyze the sales data for the past year and identify any trends using regression analysis.\"\n\nThe skill will:\n1. Analyze the provided sales data.\n2. Generate a regression model to identify trends and patterns in the sales data.\n3. Visualize the trend and report the equation and R-squared value.\n\n## Best Practices\n\n- **Data Preparation**: Ensure the data is clean and preprocessed before performing regression analysis.\n- **Model Selection**: Choose the appropriate regression model based on the data and the problem.\n- **Validation**: Always validate the model to ensure its accuracy and reliability.\n\n## Integration\n\nThis skill works independently using the regression-analysis-tool plugin. It can be used in conjunction with other data analysis and visualization tools to provide a comprehensive understanding of the data.\n",{"name":5,"description":7},"master","be156301b65e301887f327d08190ed4f17ba08d2","docs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool",0,"https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp","https:\u002F\u002Fgithub.com\u002Fsandraschi","2026-11-11 11:02:01",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add sandraschi\u002Fdocumentation-mcp --skill performing-regression-analysis",{"tool":62,"command":63},"bunx","bunx skills add sandraschi\u002Fdocumentation-mcp --skill performing-regression-analysis",{"tool":65,"command":66},"pnpm","pnpm dlx skills add sandraschi\u002Fdocumentation-mcp --skill performing-regression-analysis","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool\u002FSKILL.md",true,[70,76,82],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"assets\u002FREADME.md","ASSET","资产文件",270,"https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool\u002Fassets\u002FREADME.md",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002FREADME.md","REFERENCE","参考文档",488,"https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool\u002Freferences\u002FREADME.md",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"scripts\u002FREADME.md","SCRIPT","脚本",506,"https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fnot-mcp-related\u002Fclaude-skills\u002Ftemp\u002Fcode-plugins\u002Fplugins\u002Fai-ml\u002Fregression-analysis-tool\u002Fskills\u002Fregression-analysis-tool\u002Fscripts\u002FREADME.md",[89,111,137,147,173,199],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":99,"publishedAt":44},"01M6PFAWAHEJJCKKVNXEWNK87W","Docs Research","Use MCP Central Docs server to search, ask, and retrieve documentation (FastMCP, standards, packaging).","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fsrc\u002Fdocs_mcp\u002Fskills\u002Fdocs-research\u002FSKILL.md",[95,98],{"categoryNo":96,"categoryName":97,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[100,101,102,103,40,104,105,106,107,108,109,110],"docs research","docs","research","standards","packaging","ask","server","search","fastmcp","documentation","MCP",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":44},"01M6PFAN4DAENMY574Q7Q3CB3H","wrappee-drift","Read-only, single-repo audit of a repo's tool coverage against the software it wraps (its current real API\u002Fdocs, not training-data memory) and against comparable\u002Fcompeting wrappers. Trigger when the user says \"wrappee drift\" followed by a repo name, \"capability audit\" followed by a repo name, or asks whether a repo is missing features the wrapped software or a competitor now has. Always scoped to one named repo per invocation -- never trigger this fleet-wide or unprompted; that is explicitly against the SOP. Do NOT trigger for internal fleet-standard compliance (that is drift-scan) or strategic worth\u002Farchive decisions (that is quality-check) -- this is specifically about the gap between the repo's tool list and the wrapped software's\u002Fcompetitors' actual current capabilities.","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fskills\u002Fwrappee-drift\u002FSKILL.md",[],[118,119,120,41,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136],"drift","wrappee drift","api","audit","capabilities","training","memory","features","repo audit","competitors","fleet","now","software","tool list","only","never","coverage","list","read",{"skillNo":138,"name":139,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":146,"publishedAt":44},"01M6PFADA3X031SK3W3T6X0N6H","modules","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fskills\u002Fwindsurf-mcp-standards\u002Fmodules\u002FSKILL.md",[142,145],{"categoryNo":143,"categoryName":144,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[139],{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":157,"publishedAt":44},"01M6PFA8YA029N68TW0X31FB1W","mcp-standards","Use when developing MCP servers to access comprehensive standards for scaffolding, packaging, sampling, documentation, testing, error handling, monitoring, and CI\u002FCD workflows.","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fskills\u002Fwindsurf-mcp-standards\u002FSKILL.md",[153,156],{"categoryNo":154,"categoryName":155,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[158,110,103,40,159,160,161,162,163,164,165,166,167,168,169,170,109,171,172,104],"mcp standards","monitoring","sampling","scaffolding","servers","cd","error","for","CI\u002FCD","access","ci","mcp servers","error handling","workflows","testing",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":181,"publishedAt":44},"01M6PFA1XX344WX57B0DJZY94Q","webapp-cua-test","Run the pre-Tauri CUA click-through test (real browser, dev stack, OCR \"Connected\" wait, sidebar nav walk) for a fleet MCP server repo under D:\\Dev\\repos. Trigger when the user says \"cua webapp test\" or \"webapp clickthrough\" followed by a repo name, asks for an e2e click-through of a webapp, or asks whether a webapp boots and connects in a real browser. Not for the installed NSIS app (that is the nsis-build skill \u002F cua-nsis-test) and not for DOM assertions (Playwright), and not for hunting fake data or dead buttons (fakefind).","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fskills\u002Fwebapp-cua-test\u002FSKILL.md",[179,180],{"categoryNo":154,"categoryName":155,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[182,183,184,185,186,110,187,188,189,165,190,191,192,193,194,195,196,197,106,198],"webapp","test","webapp cua test","playwright","mcp server","dev","dom","assertions","trigger","click","app","tauri","repo","stack","e2e","ocr","browser",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":206,"publishedAt":44},"01M6PF9WYF6NWJR7WVN38TT0WH","ship","Final release gate for a fleet MCP server repo under D:\\Dev\\repos -- run all quality gates, build the release artifact, verify it, commit, push, and cut a GitHub release. Trigger this whenever the user says \"ship it\", \"ship\" followed by a repo name, \"release\" followed by a repo name, or asks to finalize and publish work that's already been done in a repo. This is the terminal step after assfix\u002Fnsis-build, not a substitute for them -- if the repo hasn't been assessed recently, say so before shipping rather than shipping blind.","https:\u002F\u002Fgithub.com\u002Fsandraschi\u002Fdocumentation-mcp\u002Fblob\u002Fmaster\u002Fdocs\u002Fskills\u002Fship\u002FSKILL.md",[205],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[201,194,165,190,207,208,209,210,211,212,213,106,214,187,215,216,217,186,218,110],"gates","ship it","artifact","done","say","work","publish","push","shipping","quality gates","commit","github"]