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When Claude needs to work...\n\nTags: latest:0.1.0\n\nVersion history:\n\nv0.1.0 | 2026-04-15T06:10:09.026Z | user\n\nBulk publish from all-task-skills-dedup\n\nArchive index:\n\nArchive v0.1.0: 5 files, 9336 bytes\n\nFiles: LICENSE.txt (1467b), recalc.py (6408b), skill-card.md (1918b), SKILL.md (10632b), _meta.json (145b)\n\nFile v0.1.0:SKILL.md\n\n---\nname: xlsx\ndescription: \"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas\"\nlicense: Proprietary. LICENSE.txt has complete terms\n---\n\n# Requirements for Outputs\n\n## All Excel files\n\n### Zero Formula Errors\n- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)\n\n### Preserve Existing Templates (when updating templates)\n- Study and EXACTLY match existing format, style, and conventions when modifying files\n- Never impose standardized formatting on files with established patterns\n- Existing template conventions ALWAYS override these guidelines\n\n## Financial models\n\n### Color Coding Standards\nUnless otherwise stated by the user or existing template\n\n#### Industry-Standard Color Conventions\n- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios\n- **Black text (RGB: 0,0,0)**: ALL formulas and calculations\n- **Green text (RGB: 0,128,0)**: Links pulling from other worksheets within same workbook\n- **Red text (RGB: 255,0,0)**: External links to other files\n- **Yellow background (RGB: 255,255,0)**: Key assumptions needing attention or cells that need to be updated\n\n### Number Formatting Standards\n\n#### Required Format Rules\n- **Years**: Format as text strings (e.g., \"2024\" not \"2,024\")\n- **Currency**: Use $#,##0 format; ALWAYS specify units in headers (\"Revenue ($mm)\")\n- **Zeros**: Use number formatting to make all zeros \"-\", including percentages (e.g., \"$#,##0;($#,##0);-\")\n- **Percentages**: Default to 0.0% format (one decimal)\n- **Multiples**: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)\n- **Negative numbers**: Use parentheses (123) not minus -123\n\n### Formula Construction Rules\n\n#### Assumptions Placement\n- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells\n- Use cell references instead of hardcoded values in formulas\n- Example: Use =B5*(1+$B$6) instead of =B5*1.05\n\n#### Formula Error Prevention\n- Verify all cell references are correct\n- Check for off-by-one errors in ranges\n- Ensure consistent formulas across all projection periods\n- Test with edge cases (zero values, negative numbers)\n- Verify no unintended circular references\n\n#### Documentation Requirements for Hardcodes\n- Comment or in cells beside (if end of table). Format: \"Source: [System/Document], [Date], [Specific Reference], [URL if applicable]\"\n- Examples:\n  - \"Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]\"\n  - \"Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]\"\n  - \"Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity\"\n  - \"Source: FactSet, 8/20/2025, Consensus Estimates Screen\"\n\n# XLSX creation, editing, and analysis\n\n## Overview\n\nA user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks.\n\n## Important Requirements\n\n**LibreOffice Required for Formula Recalculation**: You can assume LibreOffice is installed for recalculating formula values using the `recalc.py` script. The script automatically configures LibreOffice on first run\n\n## Reading and analyzing data\n\n### Data analysis with pandas\nFor data analysis, visualization, and basic operations, use **pandas** which provides powerful data manipulation capabilities:\n\n```python\nimport pandas as pd\n\n# Read Excel\ndf = pd.read_excel('file.xlsx')  # Default: first sheet\nall_sheets = pd.read_excel('file.xlsx', sheet_name=None)  # All sheets as dict\n\n# Analyze\ndf.head()      # Preview data\ndf.info()      # Column info\ndf.describe()  # Statistics\n\n# Write Excel\ndf.to_excel('output.xlsx', index=False)\n```\n\n## Excel File Workflows\n\n## CRITICAL: Use Formulas, Not Hardcoded Values\n\n**Always use Excel formulas instead of calculating values in Python and hardcoding them.** This ensures the spreadsheet remains dynamic and updateable.\n\n### ❌ WRONG - Hardcoding Calculated Values\n```python\n# Bad: Calculating in Python and hardcoding result\ntotal = df['Sales'].sum()\nsheet['B10'] = total  # Hardcodes 5000\n\n# Bad: Computing growth rate in Python\ngrowth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']\nsheet['C5'] = growth  # Hardcodes 0.15\n\n# Bad: Python calculation for average\navg = sum(values) / len(values)\nsheet['D20'] = avg  # Hardcodes 42.5\n```\n\n### ✅ CORRECT - Using Excel Formulas\n```python\n# Good: Let Excel calculate the sum\nsheet['B10'] = '=SUM(B2:B9)'\n\n# Good: Growth rate as Excel formula\nsheet['C5'] = '=(C4-C2)/C2'\n\n# Good: Average using Excel function\nsheet['D20'] = '=AVERAGE(D2:D19)'\n```\n\nThis applies to ALL calculations - totals, percentages, ratios, differences, etc. The spreadsheet should be able to recalculate when source data changes.\n\n## Common Workflow\n1. **Choose tool**: pandas for data, openpyxl for formulas/formatting\n2. **Create/Load**: Create new workbook or load existing file\n3. **Modify**: Add/edit data, formulas, and formatting\n4. **Save**: Write to file\n5. **Recalculate formulas (MANDATORY IF USING FORMULAS)**: Use the recalc.py script\n   ```bash\n   python recalc.py output.xlsx\n   ```\n6. **Verify and fix any errors**: \n   - The script returns JSON with error details\n   - If `status` is `errors_found`, check `error_summary` for specific error types and locations\n   - Fix the identified errors and recalculate again\n   - Common errors to fix:\n     - `#REF!`: Invalid cell references\n     - `#DIV/0!`: Division by zero\n     - `#VALUE!`: Wrong data type in formula\n     - `#NAME?`: Unrecognized formula name\n\n### Creating new Excel files\n\n```python\n# Using openpyxl for formulas and formatting\nfrom openpyxl import Workbook\nfrom openpyxl.styles import Font, PatternFill, Alignment\n\nwb = Workbook()\nsheet = wb.active\n\n# Add data\nsheet['A1'] = 'Hello'\nsheet['B1'] = 'World'\nsheet.append(['Row', 'of', 'data'])\n\n# Add formula\nsheet['B2'] = '=SUM(A1:A10)'\n\n# Formatting\nsheet['A1'].font = Font(bold=True, color='FF0000')\nsheet['A1'].fill = PatternFill('solid', start_color='FFFF00')\nsheet['A1'].alignment = Alignment(horizontal='center')\n\n# Column width\nsheet.column_dimensions['A'].width = 20\n\nwb.save('output.xlsx')\n```\n\n### Editing existing Excel files\n\n```python\n# Using openpyxl to preserve formulas and formatting\nfrom openpyxl import load_workbook\n\n# Load existing file\nwb = load_workbook('existing.xlsx')\nsheet = wb.active  # or wb['SheetName'] for specific sheet\n\n# Working with multiple sheets\nfor sheet_name in wb.sheetnames:\n    sheet = wb[sheet_name]\n    print(f\"Sheet: {sheet_name}\")\n\n# Modify cells\nsheet['A1'] = 'New Value'\nsheet.insert_rows(2)  # Insert row at position 2\nsheet.delete_cols(3)  # Delete column 3\n\n# Add new sheet\nnew_sheet = wb.create_sheet('NewSheet')\nnew_sheet['A1'] = 'Data'\n\nwb.save('modified.xlsx')\n```\n\n## Recalculating formulas\n\nExcel files created or modified by openpyxl contain formulas as strings but not calculated values. Use the provided `recalc.py` script to recalculate formulas:\n\n```bash\npython recalc.py <excel_file> [timeout_seconds]\n```\n\nExample:\n```bash\npython recalc.py output.xlsx 30\n```\n\nThe script:\n- Automatically sets up LibreOffice macro on first run\n- Recalculates all formulas in all sheets\n- Scans ALL cells for Excel errors (#REF!, #DIV/0!, etc.)\n- Returns JSON with detailed error locations and counts\n- Works on both Linux and macOS\n\n## Formula Verification Checklist\n\nQuick checks to ensure formulas work correctly:\n\n### Essential Verification\n- [ ] **Test 2-3 sample references**: Verify they pull correct values before building full model\n- [ ] **Column mapping**: Confirm Excel columns match (e.g., column 64 = BL, not BK)\n- [ ] **Row offset**: Remember Excel rows are 1-indexed (DataFrame row 5 = Excel row 6)\n\n### Common Pitfalls\n- [ ] **NaN handling**: Check for null values with `pd.notna()`\n- [ ] **Far-right columns**: FY data often in columns 50+ \n- [ ] **Multiple matches**: Search all occurrences, not just first\n- [ ] **Division by zero**: Check denominators before using `/` in formulas (#DIV/0!)\n- [ ] **Wrong references**: Verify all cell references point to intended cells (#REF!)\n- [ ] **Cross-sheet references**: Use correct format (Sheet1!A1) for linking sheets\n\n### Formula Testing Strategy\n- [ ] **Start small**: Test formulas on 2-3 cells before applying broadly\n- [ ] **Verify dependencies**: Check all cells referenced in formulas exist\n- [ ] **Test edge cases**: Include zero, negative, and very large values\n\n### Interpreting recalc.py Output\nThe script returns JSON with error details:\n```json\n{\n  \"status\": \"success\",           // or \"errors_found\"\n  \"total_errors\": 0,              // Total error count\n  \"total_formulas\": 42,           // Number of formulas in file\n  \"error_summary\": {              // Only present if errors found\n    \"#REF!\": {\n      \"count\": 2,\n      \"locations\": [\"Sheet1!B5\", \"Sheet1!C10\"]\n    }\n  }\n}\n```\n\n## Best Practices\n\n### Library Selection\n- **pandas**: Best for data analysis, bulk operations, and simple data export\n- **openpyxl**: Best for complex formatting, formulas, and Excel-specific features\n\n### Working with openpyxl\n- Cell indices are 1-based (row=1, column=1 refers to cell A1)\n- Use `data_only=True` to read calculated values: `load_workbook('file.xlsx', data_only=True)`\n- **Warning**: If opened with `data_only=True` and saved, formulas are replaced with values and permanently lost\n- For large files: Use `read_only=True` for reading or `write_only=True` for writing\n- Formulas are preserved but not evaluated - use recalc.py to update values\n\n### Working with pandas\n- Specify data types to avoid inference issues: `pd.read_excel('file.xlsx', dtype={'id': str})`\n- For large files, read specific columns: `pd.read_excel('file.xlsx', usecols=['A', 'C', 'E'])`\n- Handle dates properly: `pd.read_excel('file.xlsx', parse_dates=['date_column'])`\n\n## Code Style Guidelines\n**IMPORTANT**: When generating Python code for Excel operations:\n- Write minimal, concise Python code without unnecessary comments\n- Avoid verbose variable names and redundant operations\n- Avoid unnecessary print statements\n\n**For Excel files themselves**:\n- Add comments to cells with complex formulas or important assumptions\n- Document data sources for hardcoded values\n- Include notes for key calculations and model sections\n\nFile v0.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn7266wbf2xvnf7bpy41wxr45x831kzg\",\n  \"slug\": \"financial-modeling-qa-xlsx\",\n  \"version\": \"0.1.0\",\n  \"publishedAt\": 1776233409026\n}\n\nFile v0.1.0:skill-card.md\n\n## Description:\n\nProvides guidance and helper tooling for creating, editing, analyzing, formatting, visualizing, and recalculating spreadsheet files such as .xlsx, .xlsm, .csv, and .tsv.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[wu-uk](https://clawhub.ai/user/wu-uk)\n\n### License/Terms of Use:\n\nProprietary\n\n## Use Case:\n\nDevelopers and agents use this skill to build, inspect, modify, format, analyze, and recalculate spreadsheet workbooks while preserving formulas and existing workbook conventions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The recalculation workflow can persistently install or overwrite a LibreOffice macro in the user's profile.\n\nMitigation: Run the skill in a disposable user profile or sandbox, review the macro behavior before use, and avoid using it on a primary LibreOffice profile.\n\nRisk: Spreadsheet creation, editing, and recalculation can change workbook structure, formulas, and calculated values.\n\nMitigation: Keep backups of important spreadsheets and review formula error reports before relying on the resulting workbook.\n\n## Reference(s):\n\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with Python and shell examples; generated spreadsheet artifacts may be XLSX, XLSM, CSV, or TSV files.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The recalculation helper returns JSON error reports and may modify local spreadsheet files during formula recalculation.]\n\n## Skill Version(s):\n\n0.1.0 (source: ClawHub release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v0.1.0:LICENSE.txt\n\n© 2025 Anthropic, PBC. All rights reserved.\n\nLICENSE: Use of these materials (including all code, prompts, assets, files,\nand other components of this Skill) is governed by your agreement with\nAnthropic regarding use of Anthropic's services. If no separate agreement\nexists, use is governed by Anthropic's Consumer Terms of Service or\nCommercial Terms of Service, as applicable:\nhttps://www.anthropic.com/legal/consumer-terms\nhttps://www.anthropic.com/legal/commercial-terms\nYour applicable agreement is referred to as the \"Agreement.\" \"Services\" are\nas defined in the Agreement.\n\nADDITIONAL RESTRICTIONS: Notwithstanding anything in the Agreement to the\ncontrary, users may not:\n\n- Extract these materials from the Services or retain copies of these\n  materials outside the Services\n- Reproduce or copy these materials, except for temporary copies created\n  automatically during authorized use of the Services\n- Create derivative works based on these materials\n- Distribute, sublicense, or transfer these materials to any third party\n- Make, offer to sell, sell, or import any inventions embodied in these\n  materials\n- Reverse engineer, decompile, or disassemble these materials\n\nThe receipt, viewing, or possession of these materials does not convey or\nimply any license or right beyond those expressly granted above.\n\nAnthropic retains all right, title, and interest in these materials,\nincluding all copyrights, patents, and other intellectual property rights.","readmeExcerpt":"Skill: xlsx Owner: wu-uk Summary: Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work... Tags: latest:0.1.0 Version history: v0.1.0 | 2026-04-15T06:10:09.026Z | user Bulk publish from all-task-skills-dedup Archive index: Archive v0.1.0: 5 files, 9336 bytes Files: LICENSE.txt (1467b), recalc.py (6408b), skill-card.","codeSnippets":[],"executableExamples":[{"language":"python","snippet":"import pandas as pd\n\n# Read Excel\ndf = pd.read_excel('file.xlsx')  # Default: first sheet\nall_sheets = pd.read_excel('file.xlsx', sheet_name=None)  # All sheets as dict\n\n# Analyze\ndf.head()      # Preview data\ndf.info()      # Column info\ndf.describe()  # Statistics\n\n# Write Excel\ndf.to_excel('output.xlsx', index=False)"},{"language":"python","snippet":"# Bad: Calculating in Python and hardcoding result\ntotal = df['Sales'].sum()\nsheet['B10'] = total  # Hardcodes 5000\n\n# Bad: Computing growth rate in Python\ngrowth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']\nsheet['C5'] = growth  # Hardcodes 0.15\n\n# Bad: Python calculation for average\navg = sum(values) / len(values)\nsheet['D20'] = avg  # Hardcodes 42.5"},{"language":"python","snippet":"# Good: Let Excel calculate the sum\nsheet['B10'] = '=SUM(B2:B9)'\n\n# Good: Growth rate as Excel formula\nsheet['C5'] = '=(C4-C2)/C2'\n\n# Good: Average using Excel function\nsheet['D20'] = '=AVERAGE(D2:D19)'"},{"language":"bash","snippet":"python recalc.py output.xlsx"},{"language":"python","snippet":"# Using openpyxl for formulas and formatting\nfrom openpyxl import Workbook\nfrom openpyxl.styles import Font, PatternFill, Alignment\n\nwb = Workbook()\nsheet = wb.active\n\n# Add data\nsheet['A1'] = 'Hello'\nsheet['B1'] = 'World'\nsheet.append(['Row', 'of', 'data'])\n\n# Add formula\nsheet['B2'] = '=SUM(A1:A10)'\n\n# Formatting\nsheet['A1'].font = Font(bold=True, color='FF0000')\nsheet['A1'].fill = PatternFill('solid', start_color='FFFF00')\nsheet['A1'].alignment = Alignment(horizontal='center')\n\n# Column width\nsheet.column_dimensions['A'].width = 20\n\nwb.save('output.xlsx')"},{"language":"python","snippet":"# Using openpyxl to preserve formulas and formatting\nfrom openpyxl import load_workbook\n\n# Load existing file\nwb = load_workbook('existing.xlsx')\nsheet = wb.active  # or wb['SheetName'] for specific sheet\n\n# Working with multiple sheets\nfor sheet_name in wb.sheetnames:\n    sheet = wb[sheet_name]\n    print(f\"Sheet: {sheet_name}\")\n\n# Modify cells\nsheet['A1'] = 'New Value'\nsheet.insert_rows(2)  # Insert row at position 2\nsheet.delete_cols(3)  # Delete column 3\n\n# Add new sheet\nnew_sheet = wb.create_sheet('NewSheet')\nnew_sheet['A1'] = 'Data'\n\nwb.save('modified.xlsx')"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: xlsx\ndescription: \"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas\"\nlicense: Proprietary. LICENSE.txt has complete terms\n---\n\n# Requirements for Outputs\n\n## All Excel files\n\n### Zero Formula Errors\n- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)\n\n### Preserve Existing Templates (when updating templates)\n- Study and EXACTLY match existing format, style, and conventions when modifying files\n- Never impose standardized formatting on files with established patterns\n- Existing template conventions ALWAYS override these guidelines\n\n## Financial models\n\n### Color Coding Standards\nUnless otherwise stated by the user or existing template\n\n#### Industry-Standard Color Conventions\n- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios\n- **Black text (RGB: 0,0,0)**: ALL formulas and calculations\n- **Green text (RGB: 0,128,0)**: Links pulling from other worksheets within same workbook\n- **Red text (RGB: 255,0,0)**: External links to other files\n- **Yellow background (RGB: 255,255,0)**: Key assumptions needing attention or cells that need to be updated\n\n### Number Formatting Standards\n\n#### Required Format Rules\n- **Years**: Format as text strings (e.g., \"2024\" not \"2,024\")\n- **Currency**: Use $#,##0 format; ALWAYS specify units in headers (\"Revenue ($mm)\")\n- **Zeros**: Use number formatting to make all zeros \"-\", including percentages (e.g., \"$#,##0;($#,##0);-\")\n- **Percentages**: Default to 0.0% format (one decimal)\n- **Multiples**: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)\n- **Negative numbers**: Use parentheses (123) not minus -123\n\n### Formula Construction Rules\n\n#### Assumptions Placement\n- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells\n- Use cell references instead of hardcoded values in formulas\n- Example: Use =B5*(1+$B$6) instead of =B5*1.05\n\n#### Formula Error Prevention\n- Verify all cell references are correct\n- Check for off-by-one errors in ranges\n- Ensure consistent formulas across all projection periods\n- Test with edge cases (zero values, negative numbers)\n- Verify no unintended circular references\n\n#### Documentation Requirements for Hardcodes\n- Comment or in cells beside (if end of table). Format: \"Source: [System/Document], [Date], [Specific Reference], [URL if applicable]\"\n- Examples:\n  - \"Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]\"\n  - \"Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]\"\n  - \"Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity\"\n  - \"So"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7266wbf2xvnf7bpy41wxr45x831kzg\",\n  \"slug\": \"financial-modeling-qa-xlsx\",\n  \"version\": \"0.1.0\",\n  \"publishedAt\": 1776233409026\n}"},{"path":"skill-card.md","content":"## Description:\n\nProvides guidance and helper tooling for creating, editing, analyzing, formatting, visualizing, and recalculating spreadsheet files such as .xlsx, .xlsm, .csv, and .tsv.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[wu-uk](https://clawhub.ai/user/wu-uk)\n\n### License/Terms of Use:\n\nProprietary\n\n## Use Case:\n\nDevelopers and agents use this skill to build, inspect, modify, format, analyze, and recalculate spreadsheet workbooks while preserving formulas and existing workbook conventions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The recalculation workflow can persistently install or overwrite a LibreOffice macro in the user's profile.\n\nMitigation: Run the skill in a disposable user profile or sandbox, review the macro behavior before use, and avoid using it on a primary LibreOffice profile.\n\nRisk: Spreadsheet creation, editing, and recalculation can change workbook structure, formulas, and calculated values.\n\nMitigation: Keep backups of important spreadsheets and review formula error reports before relying on the resulting workbook.\n\n## Reference(s):\n\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with Python and shell examples; generated spreadsheet artifacts may be XLSX, XLSM, CSV, or TSV files.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The recalculation helper returns JSON error reports and may modify local spreadsheet files during formula recalculation.]\n\n## Skill Version(s):\n\n0.1.0 (source: ClawHub release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"LICENSE.txt","content":"© 2025 Anthropic, PBC. All rights reserved.\n\nLICENSE: Use of these materials (including all code, prompts, assets, files,\nand other components of this Skill) is governed by your agreement with\nAnthropic regarding use of Anthropic's services. If no separate agreement\nexists, use is governed by Anthropic's Consumer Terms of Service or\nCommercial Terms of Service, as applicable:\nhttps://www.anthropic.com/legal/consumer-terms\nhttps://www.anthropic.com/legal/commercial-terms\nYour applicable agreement is referred to as the \"Agreement.\" \"Services\" are\nas defined in the Agreement.\n\nADDITIONAL RESTRICTIONS: Notwithstanding anything in the Agreement to the\ncontrary, users may not:\n\n- Extract these materials from the Services or retain copies of these\n  materials outside the Services\n- Reproduce or copy these materials, except for temporary copies created\n  automatically during authorized use of the Services\n- Create derivative works based on these materials\n- Distribute, sublicense, or transfer these materials to any third party\n- Make, offer to sell, sell, or import any inventions embodied in these\n  materials\n- Reverse engineer, decompile, or disassemble these materials\n\nThe receipt, viewing, or possession of these materials does not convey or\nimply any license or right beyond those expressly granted above.\n\nAnthropic retains all right, title, and interest in these materials,\nincluding all copyrights, patents, and other intellectual property rights."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work... Skill: xlsx Owner: wu-uk Summary: Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work... Tags: latest:0.1.0 Version history: v0.1.0 | 2026-04-15T06:10:09.026Z | user Bulk publish from all-task-skills-dedup Archive index: Archive v0.1.0: 5 files, 9336 bytes Files: LICENSE.txt (1467b), recalc.py (6408b), skill-card.","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1217,"uniquenessScore":56,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T21:55:25.549Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T21:55:25.549Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-12T14:37:53.096Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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