lhx1Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work...
Install via ClawdBot CLI:
clawdbot install goulonghui/lhx1Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://openoffice.org/2000/scriptAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Create a new spreadsheet for projecting company financials over 5 years, incorporating assumptions for revenue growth, margins, and capital expenditures. Apply color coding for inputs (blue), formulas (black), and key assumptions (yellow background), with formulas for calculations like EBITDA and free cash flow.
Analyze monthly sales data from a CSV file to generate summary statistics, visualize trends with charts, and create a dynamic report sheet. Use pandas for data manipulation and openpyxl to embed formulas for totals and growth rates, ensuring zero formula errors after recalculation.
Modify an existing budget spreadsheet to add new expense categories and update formulas for quarterly summaries. Preserve the original template's formatting and conventions, recalculate formulas to verify no errors, and document any hardcoded values with sources.
Build a dashboard for comparing investment opportunities, pulling data from multiple sheets with green links and external sources with red text. Include assumptions for discount rates and multiples, formatted as 0.0x, and use formulas for NPV and IRR calculations.
Develop a spreadsheet to track key performance indicators (KPIs) like production output and downtime across departments. Implement formulas for averages and percentages, apply number formatting for zeros as '-', and use yellow highlights for cells requiring manual updates.
Model recurring revenue streams with assumptions for monthly recurring revenue (MRR), churn rates, and customer acquisition costs. Use formulas to project growth and calculate metrics like lifetime value (LTV), with currency formatting in $#,##0 for financial outputs.
Analyze sales data to forecast demand, manage inventory levels, and calculate profit margins. Incorporate formulas for total sales and cost of goods sold, apply color coding for input variables, and document hardcoded supplier costs with source references.
Track billable hours, project expenses, and revenue recognition across multiple clients. Use spreadsheets to summarize quarterly earnings, format percentages for utilization rates, and ensure zero formula errors in financial summaries after updates.
💬 Integration Tip
Always use Excel formulas instead of hardcoding calculations in Python to maintain dynamic spreadsheets, and run the recalc.py script after edits to verify zero formula errors.
Scored Apr 19, 2026
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