[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H7APWGFN7862MGDF4AXMN4":3,"skill-same:01M6H7APWGFN7862MGDF4AXMN4":67},{"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":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":51,"ownerDescription":6,"updatedAt":52,"install":53,"resources":66},"01M6H7APWGFN7862MGDF4AXMN4","pandas-expert",null,"Use when implementing pandas functionality with production-grade patterns and safeguards.","0xharryriddle\u002Fcodex-field-kit","0xharryriddle","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F100945007?v=4","01M6H686JV0QKZYP2RWG6B2B8T","harryriddle","01M6H686PVZ8JGKWEG7B3GM5PD",3,"MIT","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills-hermes\u002Fcodex-agents\u002Fpandas-expert\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34],"pandas","expert","pandas expert","codex","Production","use","general","patterns","with","kit","implementing","2026-11-10 10:12:30",false,"---\nname: pandas-expert\ndescription: Use when implementing pandas functionality with production-grade patterns and safeguards.\nmetadata:\n  hermes:\n    tags: [codex-agent, general]\n    source: codex-field-kit\u002Fgeneral\n---\n\n# Pandas Expert\n\n## Focus Areas\n\n- DataFrame creation and manipulation\n- Series operations and transformations\n- Indexing and selecting data\n- Grouping and aggregating data\n- Merging, joining, and concatenating DataFrames\n- Handling missing data effectively\n- Applying functions across DataFrames\n- Data input\u002Foutput with various formats\n- Time series analysis capabilities\n- Conditional selection and filtering\n\n## Approach\n\n- Utilize vectorized operations for efficiency\n- Keep data types consistent and optimized\n- Use chaining methods for readability\n- Leverage `apply()` and `map()` for custom transformations\n- Maintain DataFrame index integrity\n- Optimize memory usage with data type adjustments\n- Employ `query()` for complex filtering\n- Document code with concise comments\n- Use `pandas` built-in plotting for quick visual insights\n- Always use version-controlled scripts for replicability\n\n## Quality Checklist\n\n- Ensure no operations alter original data unintentionally\n- Validate DataFrames' shapes after operations\n- Check for the presence of missing values post-transformation\n- Confirm data types after manipulations\n- Efficient use of memory and processing resources\n- Correct index alignment post-merges\u002Fjoins\n- Consistent naming conventions for clarity\n- Proper testing of data input\u002Foutput processes\n- Ensure accurate grouping and aggregation results\n- Verify performance with sample datasets\n\n## Output\n\n- Clean, well-structured DataFrames ready for analysis\n- Efficient data manipulation scripts\n- Comprehensive summary statistics\n- Clear and interpretable data visualizations\n- Accurate time series forecasts and analysis\n- Flexible data processing pipelines\n- Documented notebooks and scripts for reproducibility\n- Performant data transformation functions\n- Effective missing data strategies implemented\n- Insightful exploratory data analysis results\n\n","# Pandas Expert\n\n## Focus Areas\n\n- DataFrame creation and manipulation\n- Series operations and transformations\n- Indexing and selecting data\n- Grouping and aggregating data\n- Merging, joining, and concatenating DataFrames\n- Handling missing data effectively\n- Applying functions across DataFrames\n- Data input\u002Foutput with various formats\n- Time series analysis capabilities\n- Conditional selection and filtering\n\n## Approach\n\n- Utilize vectorized operations for efficiency\n- Keep data types consistent and optimized\n- Use chaining methods for readability\n- Leverage `apply()` and `map()` for custom transformations\n- Maintain DataFrame index integrity\n- Optimize memory usage with data type adjustments\n- Employ `query()` for complex filtering\n- Document code with concise comments\n- Use `pandas` built-in plotting for quick visual insights\n- Always use version-controlled scripts for replicability\n\n## Quality Checklist\n\n- Ensure no operations alter original data unintentionally\n- Validate DataFrames' shapes after operations\n- Check for the presence of missing values post-transformation\n- Confirm data types after manipulations\n- Efficient use of memory and processing resources\n- Correct index alignment post-merges\u002Fjoins\n- Consistent naming conventions for clarity\n- Proper testing of data input\u002Foutput processes\n- Ensure accurate grouping and aggregation results\n- Verify performance with sample datasets\n\n## Output\n\n- Clean, well-structured DataFrames ready for analysis\n- Efficient data manipulation scripts\n- Comprehensive summary statistics\n- Clear and interpretable data visualizations\n- Accurate time series forecasts and analysis\n- Flexible data processing pipelines\n- Documented notebooks and scripts for reproducibility\n- Performant data transformation functions\n- Effective missing data strategies implemented\n- Insightful exploratory data analysis results\n\n",{"name":5,"metadata":40,"description":7},{"hermes":41},{"tags":42,"source":44},[43,30],"codex-agent","codex-field-kit\u002Fgeneral","main","6c13f6f4ac5a3bc1e6b78cd2bb1704f122c4a73e","skills-hermes\u002Fcodex-agents\u002Fpandas-expert",0,"https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit","https:\u002F\u002Fgithub.com\u002F0xharryriddle","https:\u002F\u002Fharryriddle.vercel.app","2026-04-11 11:49:51",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add 0xharryriddle\u002Fcodex-field-kit --skill pandas-expert",{"tool":59,"command":60},"bunx","bunx skills add 0xharryriddle\u002Fcodex-field-kit --skill pandas-expert",{"tool":62,"command":63},"pnpm","pnpm dlx skills add 0xharryriddle\u002Fcodex-field-kit --skill pandas-expert","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills-hermes\u002Fcodex-agents\u002Fpandas-expert\u002FSKILL.md",true,[],[68,98,117,127,152,179],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":77,"publishedAt":35},"01M6H7ZKE6MR33HC84QZ1TA6MV","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Fvercel-react-best-practices\u002FSKILL.md",[74],{"categoryNo":75,"categoryName":76,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97],"react best practices","react","vercel react best practices","best practices","vercel","tasks","data fetching","triggers","pages","next","performance optimization","refactoring","Next.js","Optimization","code","guidelines","react components","components","performance","writing",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":35},"01M6H7ZGC2WK8SEKYHWDNTMDA9","swarm-planner","[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Fswarm-planner\u002FSKILL.md",[],[105,106,107,108,109,110,111,112,113,114,115,116],"swarm","swarm planner","planner","parallel","multi-agent","only","execution","plans","dependency","for","multi","implementation",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":35},"01M6H7ZD93853RZCYQWH1D38TM","super-swarm-spark","Only to be triggered by explicit super-swarm-spark commands.","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Fsuper-swarm-spark\u002FSKILL.md",[],[124,105,125,110,126],"super swarm spark","spark","commands",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":133,"publishedAt":35},"01M6H7Z987QBY49JCCPT953EAZ","role-creator","Create and install Codex custom agent roles in ~\u002F.codex\u002Fconfig.toml, generate role config files, enforce supported keys, and guide users through required role inputs (model, reasoning effort, developer_instructions).","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Frole-creator\u002FSKILL.md",[],[134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,27,151],"role","creator","role creator","keys","users","roles","toml","enforce","install","guide","instructions","model","developer","reasoning","generate","create","config","files",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":161,"publishedAt":35},"01M6H7Z5TRPMDQ7YSZQXPN1G60","read-github","Read and search GitHub repository documentation via gitmcp.io MCP service.\n\n**WHEN TO USE:**\n- User provides a GitHub URL\n- User mentions a specific repo in owner\u002Frepo format\n- User asks \"what does this repo do?\", \"read the docs for X repo\", or similar\n- User wants to search code or docs within a repo","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Fread-github\u002FSKILL.md",[158],{"categoryNo":159,"categoryName":160,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[162,163,164,92,165,166,167,168,114,169,170,171,172,173,174,29,175,176,177,178],"github","read github","read","documentation","docs","MCP","search","when to use","URL","via","io","service","do","user","repo","format","repository",{"skillNo":180,"name":107,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":184,"publishedAt":35},"01M6H7Z215CTKYJ4Y1X6EQWN6M","Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: \"make a plan\", \"create a plan\", \"plan this out\", \"plan the implementation\", \"help me plan\", \"design a plan\", \"draft a plan\", \"write a plan\", \"outline the steps\", \"break this down into tasks\", \"what's the plan for\", or any similar planning request. Also triggers on explicit \"\u002Fplanner\" or \"\u002Fplan\" commands.","https:\u002F\u002Fgithub.com\u002F0xharryriddle\u002Fcodex-field-kit\u002Fblob\u002Fmain\u002Fskills\u002Fplanner\u002FSKILL.md",[],[107,185,114,186,32,187,85,112,126,188,189,29,190,191,192,193,194,149,83,195],"outline","atomic","sprints","draft","me","write","phased implementation","plan","help","planning","design"]