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officeqa-arena
officeqa-arena contém 20 skills coletadas de jwalin-shah, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Review board — verify the analyst's answer before final submission
Python computation formulas for Treasury data analysis. Use for percent change, CAGR, stdev, kurtosis, VaR, regression, Theil index, and other statistical calculations.
CPI-U annual averages (1929-2024) for inflation adjustment. Use when question mentions inflation, CPI, constant dollars, or real dollars.
How to read Treasury Bulletin data files in /app/resources/. Use when exploring resources or when JSON parsing fails.
U.S. fiscal year boundaries and calendar year conversions. Use when question mentions fiscal year, FY, or when you need to determine which months belong to a fiscal year.
How to accurately extract values from Treasury Bulletin tables. Use when reading tables with many columns, similar row labels, or when you need to verify you have the right cell.
Step-by-step approach and verification checklist for Treasury Bulletin questions
Python one-liner recipes for common Treasury Bulletin calculations — stdev, regression, pct change, CAGR, etc.
CPI-U annual averages 1913-2024 for inflation adjustments
Table parser + grep scripts — save to /tmp then use to extract data from Treasury files
Parse HTML and pipe-delimited tables from treasury bulletin files into clean labeled output
Parse HTML and pipe-delimited tables from treasury bulletin files into clean labeled output
Review board — verify the analyst's answer before final submission
How to break down complex Treasury questions step by step
Fiscal year boundaries and budget proposal release dates
Table parser + computation recipes — save scripts to /tmp
Checklist before computing and before writing answer
Treasury Bulletin data extraction tool + verification checklist + CPI + compute recipes
Python computation patterns for Treasury data. Use for percent change, CAGR, stdev, kurtosis, VaR, regression, Theil index, duration, and other statistical calculations. Always use python3 -c.
CPI-U annual averages (1929-2024) for inflation adjustment. Use when question mentions inflation, CPI, constant dollars, or real dollars. Formula: real_value = nominal_value × (target_CPI / source_CPI)