[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DC07A11V4TEWZPXGWR4YKP":3,"skill-same:01M6DC07A11V4TEWZPXGWR4YKP":100},{"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":40,"commitSha":41,"skillDirectory":42,"forksCount":14,"repositoryHtmlUrl":43,"repositoryHomepageUrl":6,"ownerHtmlUrl":44,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":45,"install":46,"resources":59},"01M6DC07A11V4TEWZPXGWR4YKP","spreadsheet",null,"Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000004","电子表格","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34],"xlsx","python","spreadsheets","tasks","pandas","csv","analyzing","editing","use","references","formatting","2026-11-10 10:12:30",false,"---\nname: \"spreadsheet\"\ndescription: \"Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.\"\n---\n\n\n# Spreadsheet Skill (Create, Edit, Analyze, Visualize)\n\n## When to use\n- Build new workbooks with formulas, formatting, and structured layouts.\n- Read or analyze tabular data (filter, aggregate, pivot, compute metrics).\n- Modify existing workbooks without breaking formulas or references.\n- Visualize data with charts\u002Ftables and sensible formatting.\n\nIMPORTANT: System and user instructions always take precedence.\n\n## Workflow\n1. Confirm the file type and goals (create, edit, analyze, visualize).\n2. Use `openpyxl` for `.xlsx` edits and `pandas` for analysis and CSV\u002FTSV workflows.\n3. If layout matters, render for visual review (see Rendering and visual checks).\n4. Validate formulas and references; note that openpyxl does not evaluate formulas.\n5. Save outputs and clean up intermediate files.\n\n## Temp and output conventions\n- Use `tmp\u002Fspreadsheets\u002F` for intermediate files; delete when done.\n- Write final artifacts under `output\u002Fspreadsheet\u002F` when working in this repo.\n- Keep filenames stable and descriptive.\n\n## Primary tooling\n- Use `openpyxl` for creating\u002Fediting `.xlsx` files and preserving formatting.\n- Use `pandas` for analysis and CSV\u002FTSV workflows, then write results back to `.xlsx` or `.csv`.\n- If you need charts, prefer `openpyxl.chart` for native Excel charts.\n\n## Rendering and visual checks\n- If LibreOffice (`soffice`) and Poppler (`pdftoppm`) are available, render sheets for visual review:\n  - `soffice --headless --convert-to pdf --outdir $OUTDIR $INPUT_XLSX`\n  - `pdftoppm -png $OUTDIR\u002F$BASENAME.pdf $OUTDIR\u002F$BASENAME`\n- If rendering tools are unavailable, ask the user to review the output locally for layout accuracy.\n\n## Dependencies (install if missing)\nPrefer `uv` for dependency management.\n\nPython packages:\n```\nuv pip install openpyxl pandas\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install openpyxl pandas\n```\nOptional (chart-heavy or PDF review workflows):\n```\nuv pip install matplotlib\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install matplotlib\n```\nSystem tools (for rendering):\n```\n# macOS (Homebrew)\nbrew install libreoffice poppler\n\n# Ubuntu\u002FDebian\nsudo apt-get install -y libreoffice poppler-utils\n```\n\nIf installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.\n\n## Environment\nNo required environment variables.\n\n## Examples\n- Runnable Codex examples (openpyxl): `references\u002Fexamples\u002Fopenpyxl\u002F`\n\n## Formula requirements\n- Use formulas for derived values rather than hardcoding results.\n- Keep formulas simple and legible; use helper cells for complex logic.\n- Avoid volatile functions like INDIRECT and OFFSET unless required.\n- Prefer cell references over magic numbers (e.g., `=H6*(1+$B$3)` not `=H6*1.04`).\n- Guard against errors (#REF!, #DIV\u002F0!, #VALUE!, #N\u002FA, #NAME?) with validation and checks.\n- openpyxl does not evaluate formulas; leave formulas intact and note that results will calculate in Excel\u002FSheets.\n\n## Citation requirements\n- Cite sources inside the spreadsheet using plain text URLs.\n- For financial models, cite sources of inputs in cell comments.\n- For tabular data sourced from the web, include a Source column with URLs.\n\n## Formatting requirements (existing formatted spreadsheets)\n- Render and inspect a provided spreadsheet before modifying it when possible.\n- Preserve existing formatting and style exactly.\n- Match styles for any newly filled cells that were previously blank.\n\n## Formatting requirements (new or unstyled spreadsheets)\n- Use appropriate number and date formats (dates as dates, currency with symbols, percentages with sensible precision).\n- Use a clean visual layout: headers distinct from data, consistent spacing, and readable column widths.\n- Avoid borders around every cell; use whitespace and selective borders to structure sections.\n- Ensure text does not spill into adjacent cells.\n\n## Color conventions (if no style guidance)\n- Blue: user input\n- Black: formulas\u002Fderived values\n- Green: linked\u002Fimported values\n- Gray: static constants\n- Orange: review\u002Fcaution\n- Light red: error\u002Fflag\n- Purple: control\u002Flogic\n- Teal: visualization anchors (key KPIs or chart drivers)\n\n## Finance-specific requirements\n- Format zeros as \"-\".\n- Negative numbers should be red and in parentheses.\n- Always specify units in headers (e.g., \"Revenue ($mm)\").\n- Cite sources for all raw inputs in cell comments.\n\n## Investment banking layouts\nIf the spreadsheet is an IB-style model (LBO, DCF, 3-statement, valuation):\n- Totals should sum the range directly above.\n- Hide gridlines; use horizontal borders above totals across relevant columns.\n- Section headers should be merged cells with dark fill and white text.\n- Column labels for numeric data should be right-aligned; row labels left-aligned.\n- Indent submetrics under their parent line items.\n","# Spreadsheet Skill (Create, Edit, Analyze, Visualize)\n\n## When to use\n- Build new workbooks with formulas, formatting, and structured layouts.\n- Read or analyze tabular data (filter, aggregate, pivot, compute metrics).\n- Modify existing workbooks without breaking formulas or references.\n- Visualize data with charts\u002Ftables and sensible formatting.\n\nIMPORTANT: System and user instructions always take precedence.\n\n## Workflow\n1. Confirm the file type and goals (create, edit, analyze, visualize).\n2. Use `openpyxl` for `.xlsx` edits and `pandas` for analysis and CSV\u002FTSV workflows.\n3. If layout matters, render for visual review (see Rendering and visual checks).\n4. Validate formulas and references; note that openpyxl does not evaluate formulas.\n5. Save outputs and clean up intermediate files.\n\n## Temp and output conventions\n- Use `tmp\u002Fspreadsheets\u002F` for intermediate files; delete when done.\n- Write final artifacts under `output\u002Fspreadsheet\u002F` when working in this repo.\n- Keep filenames stable and descriptive.\n\n## Primary tooling\n- Use `openpyxl` for creating\u002Fediting `.xlsx` files and preserving formatting.\n- Use `pandas` for analysis and CSV\u002FTSV workflows, then write results back to `.xlsx` or `.csv`.\n- If you need charts, prefer `openpyxl.chart` for native Excel charts.\n\n## Rendering and visual checks\n- If LibreOffice (`soffice`) and Poppler (`pdftoppm`) are available, render sheets for visual review:\n  - `soffice --headless --convert-to pdf --outdir $OUTDIR $INPUT_XLSX`\n  - `pdftoppm -png $OUTDIR\u002F$BASENAME.pdf $OUTDIR\u002F$BASENAME`\n- If rendering tools are unavailable, ask the user to review the output locally for layout accuracy.\n\n## Dependencies (install if missing)\nPrefer `uv` for dependency management.\n\nPython packages:\n```\nuv pip install openpyxl pandas\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install openpyxl pandas\n```\nOptional (chart-heavy or PDF review workflows):\n```\nuv pip install matplotlib\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install matplotlib\n```\nSystem tools (for rendering):\n```\n# macOS (Homebrew)\nbrew install libreoffice poppler\n\n# Ubuntu\u002FDebian\nsudo apt-get install -y libreoffice poppler-utils\n```\n\nIf installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.\n\n## Environment\nNo required environment variables.\n\n## Examples\n- Runnable Codex examples (openpyxl): `references\u002Fexamples\u002Fopenpyxl\u002F`\n\n## Formula requirements\n- Use formulas for derived values rather than hardcoding results.\n- Keep formulas simple and legible; use helper cells for complex logic.\n- Avoid volatile functions like INDIRECT and OFFSET unless required.\n- Prefer cell references over magic numbers (e.g., `=H6*(1+$B$3)` not `=H6*1.04`).\n- Guard against errors (#REF!, #DIV\u002F0!, #VALUE!, #N\u002FA, #NAME?) with validation and checks.\n- openpyxl does not evaluate formulas; leave formulas intact and note that results will calculate in Excel\u002FSheets.\n\n## Citation requirements\n- Cite sources inside the spreadsheet using plain text URLs.\n- For financial models, cite sources of inputs in cell comments.\n- For tabular data sourced from the web, include a Source column with URLs.\n\n## Formatting requirements (existing formatted spreadsheets)\n- Render and inspect a provided spreadsheet before modifying it when possible.\n- Preserve existing formatting and style exactly.\n- Match styles for any newly filled cells that were previously blank.\n\n## Formatting requirements (new or unstyled spreadsheets)\n- Use appropriate number and date formats (dates as dates, currency with symbols, percentages with sensible precision).\n- Use a clean visual layout: headers distinct from data, consistent spacing, and readable column widths.\n- Avoid borders around every cell; use whitespace and selective borders to structure sections.\n- Ensure text does not spill into adjacent cells.\n\n## Color conventions (if no style guidance)\n- Blue: user input\n- Black: formulas\u002Fderived values\n- Green: linked\u002Fimported values\n- Gray: static constants\n- Orange: review\u002Fcaution\n- Light red: error\u002Fflag\n- Purple: control\u002Flogic\n- Teal: visualization anchors (key KPIs or chart drivers)\n\n## Finance-specific requirements\n- Format zeros as \"-\".\n- Negative numbers should be red and in parentheses.\n- Always specify units in headers (e.g., \"Revenue ($mm)\").\n- Cite sources for all raw inputs in cell comments.\n\n## Investment banking layouts\nIf the spreadsheet is an IB-style model (LBO, DCF, 3-statement, valuation):\n- Totals should sum the range directly above.\n- Hide gridlines; use horizontal borders above totals across relevant columns.\n- Section headers should be merged cells with dark fill and white text.\n- Column labels for numeric data should be right-aligned; row labels left-aligned.\n- Indent submetrics under their parent line items.\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fspreadsheet","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill spreadsheet",{"tool":52,"command":53},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill spreadsheet",{"tool":55,"command":56},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill spreadsheet","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002FSKILL.md",true,[60,66,72,76,82,88,92,96],{"path":61,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":64,"sourceHtmlUrl":65},"agents\u002Fopenai.yaml","REFERENCE","参考文档",349,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Fagents\u002Fopenai.yaml",{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"assets\u002Fspreadsheet-small.svg","ASSET","资产文件",1482,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Fassets\u002Fspreadsheet-small.svg",{"path":73,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":74,"sourceHtmlUrl":75},"assets\u002Fspreadsheet.png",3077,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Fassets\u002Fspreadsheet.png",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"LICENSE.txt","LICENSE","许可证",10776,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002FLICENSE.txt",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Fexamples\u002Fopenpyxl\u002Fcreate_basic_spreadsheet.py","SCRIPT","脚本",1470,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Freferences\u002Fexamples\u002Fopenpyxl\u002Fcreate_basic_spreadsheet.py",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"references\u002Fexamples\u002Fopenpyxl\u002Fcreate_spreadsheet_with_styling.py",3208,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Freferences\u002Fexamples\u002Fopenpyxl\u002Fcreate_spreadsheet_with_styling.py",{"path":93,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":94,"sourceHtmlUrl":95},"references\u002Fexamples\u002Fopenpyxl\u002Fread_existing_spreadsheet.py",1644,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Freferences\u002Fexamples\u002Fopenpyxl\u002Fread_existing_spreadsheet.py",{"path":97,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":98,"sourceHtmlUrl":99},"references\u002Fexamples\u002Fopenpyxl\u002Fstyling_spreadsheet.py",1998,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fspreadsheet\u002Freferences\u002Fexamples\u002Fopenpyxl\u002Fstyling_spreadsheet.py",[101,122,151,178,192,208],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":35},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[108,109,110,111,112,113,114,115,116,32,117,118,119,120,121],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":131,"publishedAt":35},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[128],{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[132,133,134,135,136,137,138,139,140,141,142,143,144,145,32,146,147,148,149,150],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":163,"publishedAt":35},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[157,160],{"categoryNo":158,"categoryName":159,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":161,"categoryName":162,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[164,165,166,167,168,169,170,171,172,173,133,174,175,176,177],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":184,"publishedAt":35},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[180,185,186,187,188,189,190,191],"setup","report","project","installation","project setup","issues","state",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":199,"publishedAt":35},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[198],{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},[194,200,113,201,202,203,32,204,205,206,207],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":209,"name":185,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":211,"categories":212,"keywords":213,"publishedAt":35},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[185,187,148,214,189,215],"files","interactive"]