[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDG4W0YA9NED36AMW0DS8D":3,"skill-same:01M6KDG4W0YA9NED36AMW0DS8D":63},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":46,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6KDG4W0YA9NED36AMW0DS8D","xlsx-tool-operations",null,"Common operations and patterns for using the xlsx skill tool to manipulate Excel files programmatically.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Fxlsx-tool-operations\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000004","电子表格","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[28,29,30,31,32,33,34,35],"xlsx","tool","operations","xlsx tool operations","common","files","patterns","for","2026-11-10 10:12:30",false,"---\nname: xlsx-tool-operations\ndescription: Common operations and patterns for using the xlsx skill tool to manipulate Excel files programmatically.\n---\n\n# XLSX Tool Operations\n\n## Overview\nThe xlsx skill tool allows programmatic interaction with Excel files, enabling reading, writing, and analyzing spreadsheet data without manually opening files.\n\n## Common Operations\n\n### Reading Spreadsheet Data\nUse the xlsx skill to:\n- Examine sheet structure and contents\n- Understand data layout and ranges\n- Identify cell references and formulas\n- Analyze existing data before writing formulas\n\n**Pattern:**\n```\nSkill: xlsx\nOperation: read or get_data\nFile: path\u002Fto\u002Ffile.xlsx\nSheet: \"SheetName\"\nRange: optional specific range like A1:Z100\n```\n\n### Writing Formulas to Cells\nUse the xlsx skill to:\n- Add formulas to specific cells\n- Write values to cells\n- Batch update multiple cells\n- Preserve existing formatting\n\n**Pattern:**\n```\nSkill: xlsx\nOperation: write_cell or batch_write\nFile: path\u002Fto\u002Ffile.xlsx\nSheet: \"SheetName\"\nTarget: Single cell reference (A1) or range (A1:A10)\nValue: Formula starting with = or literal value\nOptions: Preserve formatting, overwrite mode\n```\n\n### Working with Multiple Sheets\nReference sheets by name when:\n- Reading from source data sheet and writing to results sheet\n- Using cross-sheet formulas (SheetName!CellRef)\n- Analyzing relationships between sheets\n\n**Cross-sheet formula pattern:**\n```\n=Sheet1!A1  (reference cell in another sheet)\n='Sheet Name'!A1  (if sheet name has spaces)\n```\n\n### Range Operations\n\n**Single Row\u002FColumn:**\n```\nH12 (single cell)\nH12:L12 (row range, 5 columns)\nH12:H40 (column range, multiple rows)\n```\n\n**Multiple Ranges:**\n```\nH12:L17, H19:L24, H26:L31 (list separate ranges)\n```\n\n**2D Range with formulas:**\n```\nH12:L17 contains 6 rows × 5 columns = 30 cells\nFill with formula that references row\u002Fcolumn criteria\n```\n\n## Specific Patterns for This Task\n\n### Two-Condition Lookup Pattern\nWhen filling ranges based on two criteria (Series Code in column, Year in row):\n\n**Formula template:**\n```\n=INDEX(lookup_source_range, MATCH(row_series_code, lookup_column, 0), MATCH(header_year, lookup_row, 0))\n```\n\n**Implementation steps:**\n1. Identify source data location (e.g., Data!A21:G40)\n2. Identify lookup columns\u002Frows (Series codes in Data column D, Years in Data row 10)\n3. Create INDEX formula with nested MATCH functions\n4. Use absolute references ($) for source ranges\n5. Use mixed references for criteria (varies by row\u002Fcolumn)\n\n### Formula Writing Approach\nWhen writing formulas to multiple cells in a range:\n\n**Option 1: Write one formula with relative references**\n- Write formula to first cell (e.g., H12)\n- Use relative references for criteria that change by position\n- Use absolute references for source data ($Data$A$21:$G$40)\n- Copy formula across\u002Fdown\n\n**Option 2: Write individual formulas**\n- Each cell gets specific MATCH values\n- Useful if pattern varies\n- More explicit but more complex\n\n### Batch Operations\nWrite multiple cells efficiently by:\n- Grouping cells by formula type\n- Using ranges instead of individual cells\n- Reusing formula patterns with position adjustments\n\n## Excel Formula Reference Syntax\n\n### Absolute vs Relative References\n```\nA1      - Relative (changes when copied)\n$A$1    - Absolute (stays same when copied)\n$A1     - Column absolute, row relative\nA$1     - Column relative, row absolute\n```\n\n### Sheet References\n```\nSheet1!A1        (no spaces in name)\n'Sheet Name'!A1  (spaces require quotes)\nData!A21:G40     (range reference)\nData!$A$21:$G$40 (absolute range)\n```\n\n### Array Formula Considerations\nSome functions like MATCH used in arrays may:\n- Require Ctrl+Shift+Enter in traditional Excel\n- Work normally in Excel 365\n- Need special syntax handling in xlsx tool\n\n## Validation Steps\n\n1. **Preview data structure**: Read the sheet to understand layout\n2. **Verify criteria**: Confirm all lookup values exist in source data\n3. **Test formula**: Write to one cell first, verify result\n4. **Batch write**: Copy tested formula to remaining cells\n5. **Spot check**: Verify a few calculated values manually\n\n## Common Issues and Solutions\n\n### Formula not calculating\n- Ensure equals sign (=) at start\n- Check sheet name references\n- Verify cell references exist in source data\n- Check for typos in function names\n\n### Incorrect data returned\n- Verify MATCH is finding correct position\n- Check INDEX range includes target data\n- Ensure criteria values match exactly (case-sensitive in some functions)\n\n### Range reference errors\n- Include full sheet path if cross-sheet: Sheet!A1:Z100\n- Use quotes if sheet name has spaces: 'Sheet Name'!A1\n- Verify range bounds are correct for data size\n\n## Performance Tips\n\n1. Use efficient ranges (don't include entire columns if A1:A100 suffices)\n2. Prefer XLOOKUP over INDEX\u002FMATCH if available\n3. Use MATCH with exact match (0) for performance\n4. Test formulas before applying to large ranges\n5. Group batch writes to minimize file operations\n","# XLSX Tool Operations\n\n## Overview\nThe xlsx skill tool allows programmatic interaction with Excel files, enabling reading, writing, and analyzing spreadsheet data without manually opening files.\n\n## Common Operations\n\n### Reading Spreadsheet Data\nUse the xlsx skill to:\n- Examine sheet structure and contents\n- Understand data layout and ranges\n- Identify cell references and formulas\n- Analyze existing data before writing formulas\n\n**Pattern:**\n```\nSkill: xlsx\nOperation: read or get_data\nFile: path\u002Fto\u002Ffile.xlsx\nSheet: \"SheetName\"\nRange: optional specific range like A1:Z100\n```\n\n### Writing Formulas to Cells\nUse the xlsx skill to:\n- Add formulas to specific cells\n- Write values to cells\n- Batch update multiple cells\n- Preserve existing formatting\n\n**Pattern:**\n```\nSkill: xlsx\nOperation: write_cell or batch_write\nFile: path\u002Fto\u002Ffile.xlsx\nSheet: \"SheetName\"\nTarget: Single cell reference (A1) or range (A1:A10)\nValue: Formula starting with = or literal value\nOptions: Preserve formatting, overwrite mode\n```\n\n### Working with Multiple Sheets\nReference sheets by name when:\n- Reading from source data sheet and writing to results sheet\n- Using cross-sheet formulas (SheetName!CellRef)\n- Analyzing relationships between sheets\n\n**Cross-sheet formula pattern:**\n```\n=Sheet1!A1  (reference cell in another sheet)\n='Sheet Name'!A1  (if sheet name has spaces)\n```\n\n### Range Operations\n\n**Single Row\u002FColumn:**\n```\nH12 (single cell)\nH12:L12 (row range, 5 columns)\nH12:H40 (column range, multiple rows)\n```\n\n**Multiple Ranges:**\n```\nH12:L17, H19:L24, H26:L31 (list separate ranges)\n```\n\n**2D Range with formulas:**\n```\nH12:L17 contains 6 rows × 5 columns = 30 cells\nFill with formula that references row\u002Fcolumn criteria\n```\n\n## Specific Patterns for This Task\n\n### Two-Condition Lookup Pattern\nWhen filling ranges based on two criteria (Series Code in column, Year in row):\n\n**Formula template:**\n```\n=INDEX(lookup_source_range, MATCH(row_series_code, lookup_column, 0), MATCH(header_year, lookup_row, 0))\n```\n\n**Implementation steps:**\n1. Identify source data location (e.g., Data!A21:G40)\n2. Identify lookup columns\u002Frows (Series codes in Data column D, Years in Data row 10)\n3. Create INDEX formula with nested MATCH functions\n4. Use absolute references ($) for source ranges\n5. Use mixed references for criteria (varies by row\u002Fcolumn)\n\n### Formula Writing Approach\nWhen writing formulas to multiple cells in a range:\n\n**Option 1: Write one formula with relative references**\n- Write formula to first cell (e.g., H12)\n- Use relative references for criteria that change by position\n- Use absolute references for source data ($Data$A$21:$G$40)\n- Copy formula across\u002Fdown\n\n**Option 2: Write individual formulas**\n- Each cell gets specific MATCH values\n- Useful if pattern varies\n- More explicit but more complex\n\n### Batch Operations\nWrite multiple cells efficiently by:\n- Grouping cells by formula type\n- Using ranges instead of individual cells\n- Reusing formula patterns with position adjustments\n\n## Excel Formula Reference Syntax\n\n### Absolute vs Relative References\n```\nA1      - Relative (changes when copied)\n$A$1    - Absolute (stays same when copied)\n$A1     - Column absolute, row relative\nA$1     - Column relative, row absolute\n```\n\n### Sheet References\n```\nSheet1!A1        (no spaces in name)\n'Sheet Name'!A1  (spaces require quotes)\nData!A21:G40     (range reference)\nData!$A$21:$G$40 (absolute range)\n```\n\n### Array Formula Considerations\nSome functions like MATCH used in arrays may:\n- Require Ctrl+Shift+Enter in traditional Excel\n- Work normally in Excel 365\n- Need special syntax handling in xlsx tool\n\n## Validation Steps\n\n1. **Preview data structure**: Read the sheet to understand layout\n2. **Verify criteria**: Confirm all lookup values exist in source data\n3. **Test formula**: Write to one cell first, verify result\n4. **Batch write**: Copy tested formula to remaining cells\n5. **Spot check**: Verify a few calculated values manually\n\n## Common Issues and Solutions\n\n### Formula not calculating\n- Ensure equals sign (=) at start\n- Check sheet name references\n- Verify cell references exist in source data\n- Check for typos in function names\n\n### Incorrect data returned\n- Verify MATCH is finding correct position\n- Check INDEX range includes target data\n- Ensure criteria values match exactly (case-sensitive in some functions)\n\n### Range reference errors\n- Include full sheet path if cross-sheet: Sheet!A1:Z100\n- Use quotes if sheet name has spaces: 'Sheet Name'!A1\n- Verify range bounds are correct for data size\n\n## Performance Tips\n\n1. Use efficient ranges (don't include entire columns if A1:A100 suffices)\n2. Prefer XLOOKUP over INDEX\u002FMATCH if available\n3. Use MATCH with exact match (0) for performance\n4. Test formulas before applying to large ranges\n5. Group batch writes to minimize file operations\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Fxlsx-tool-operations",8,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill xlsx-tool-operations",{"tool":55,"command":56},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill xlsx-tool-operations",{"tool":58,"command":59},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill xlsx-tool-operations","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-haiku-4-5\u002Fweighted-gdp-calculation\u002Fxlsx-tool-operations\u002FSKILL.md",true,[],[64,80,104,121,141,153],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":73,"publishedAt":36},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[70],{"categoryNo":71,"categoryName":72,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[74,75,76,77,78,79],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":89,"publishedAt":36},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[86],{"categoryNo":87,"categoryName":88,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[90,91,92,93,94,95,96,97,98,35,99,100,101,102,103],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":36},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[111,29,112,113,114,115,116,93,117,118,94,119,35,120,91],"search","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":127,"publishedAt":36},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[128,129,130,35,131,132,133,134,135,136,137,138,119,139,140],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":36},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[147],{"categoryNo":87,"categoryName":88,"taxonomyType":20,"taxonomyTypeDesc":21},[149,140,130,129,135,134,131,150,151,35,152],"glm calibration","setup","companion","metric",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":159,"publishedAt":36},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[160,130,134,161,149,140,35,129,162,33,163,164,165,166,131],"glm basics","inspect","relevant","good","use","how","Evaluation"]