Awesome-omni-skill calc
Spreadsheet creation, format conversion (ODS/XLSX/CSV), formulas, data automation with LibreOffice Calc.
install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cli-automation/calc" ~/.claude/skills/diegosouzapw-awesome-omni-skill-calc-a471a8 && rm -rf "$T"
manifest:
skills/cli-automation/calc/SKILL.mdsafety · automated scan (low risk)
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source content
LibreOffice Calc
Overview
LibreOffice Calc skill for creating, editing, converting, and automating spreadsheet workflows using the native ODS (OpenDocument Spreadsheet) format.
When to Use This Skill
Use this skill when:
- Creating new spreadsheets in ODS format
- Converting between ODS, XLSX, CSV, PDF formats
- Automating data processing and analysis
- Creating formulas, charts, and pivot tables
- Batch processing spreadsheet operations
Core Capabilities
1. Spreadsheet Creation
- Create new ODS spreadsheets from scratch
- Generate spreadsheets from templates
- Create data entry forms
- Build dashboards and reports
2. Format Conversion
- ODS to other formats: XLSX, CSV, PDF, HTML
- Other formats to ODS: XLSX, XLS, CSV, DBF
- Batch conversion of multiple files
3. Data Automation
- Formula automation and calculations
- Data import from CSV, database, APIs
- Data export to various formats
- Batch data processing
4. Data Analysis
- Pivot tables and data summarization
- Statistical functions and analysis
- Data validation and filtering
- Conditional formatting
5. Integration
- Command-line automation via soffice
- Python scripting with UNO
- Database connectivity
Workflows
Creating a New Spreadsheet
Method 1: Command-Line
soffice --calc template.ods
Method 2: Python with UNO
import uno def create_spreadsheet(): local_ctx = uno.getComponentContext() resolver = local_ctx.ServiceManager.createInstanceWithContext( "com.sun.star.bridge.UnoUrlResolver", local_ctx ) ctx = resolver.resolve( "uno:socket,host=localhost,port=8100;urp;StarOffice.ComponentContext" ) smgr = ctx.ServiceManager doc = smgr.createInstanceWithContext("com.sun.star.sheet.SpreadsheetDocument", ctx) sheets = doc.getSheets() sheet = sheets.getByIndex(0) cell = sheet.getCellByPosition(0, 0) cell.setString("Hello from LibreOffice Calc!") doc.storeToURL("file:///path/to/spreadsheet.ods", ()) doc.close(True)
Method 3: Using ezodf
import ezodf doc = ezodf.newdoc('ods', 'spreadsheet.ods') sheet = doc.sheets[0] sheet['A1'].set_value('Hello') sheet['B1'].set_value('World') doc.save()
Converting Spreadsheets
# ODS to XLSX soffice --headless --convert-to xlsx spreadsheet.ods # ODS to CSV soffice --headless --convert-to csv spreadsheet.ods # ODS to PDF soffice --headless --convert-to pdf spreadsheet.ods # XLSX to ODS soffice --headless --convert-to ods spreadsheet.xlsx # Batch convert for file in *.ods; do soffice --headless --convert-to xlsx "$file" done
Formula Automation
import uno def create_formula_spreadsheet(): local_ctx = uno.getComponentContext() resolver = local_ctx.ServiceManager.createInstanceWithContext( "com.sun.star.bridge.UnoUrlResolver", local_ctx ) ctx = resolver.resolve( "uno:socket,host=localhost,port=8100;urp;StarOffice.ComponentContext" ) smgr = ctx.ServiceManager doc = smgr.createInstanceWithContext("com.sun.star.sheet.SpreadsheetDocument", ctx) sheet = doc.getSheets().getByIndex(0) sheet.getCellByPosition(0, 0).setDoubleValue(100) sheet.getCellByPosition(0, 1).setDoubleValue(200) cell = sheet.getCellByPosition(0, 2) cell.setFormula("SUM(A1:A2)") doc.storeToURL("file:///path/to/formulas.ods", ()) doc.close(True)
Format Conversion Reference
Supported Input Formats
- ODS (native), XLSX, XLS, CSV, DBF, HTML
Supported Output Formats
- ODS, XLSX, XLS, CSV, PDF, HTML
Command-Line Reference
soffice --headless soffice --headless --convert-to <format> <file> soffice --calc # Calc
Python Libraries
pip install ezodf # ODS handling pip install odfpy # ODF manipulation pip install pandas # Data analysis
Best Practices
- Use named ranges for clarity
- Document complex formulas
- Use data validation for input control
- Create templates for recurring reports
- Store ODS source files in version control
- Test conversions thoroughly
- Use CSV for data exchange
- Handle conversion failures gracefully
Troubleshooting
Cannot open socket
killall soffice.bin soffice --headless --accept="socket,host=localhost,port=8100;urp;"
Resources
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