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Organize Nexent test assets into a traceable chain from requirements and bugs to cases, scripts, and results. Review existing coverage, maintain execution settings, and generate a registry and Excel views for formal testing.

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• Designing test cases for new requirements
• Reviewing regression coverage after a bug fix
• Adding missing tests after development

Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.

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• Checking missing values and category counts in a selected sheet
• Extracting numeric pairs from selected rows and columns
• Creating a scatter plot with a straight trend line

Clean Excel data, summarize groups, and examine relationships between numeric columns. Produce charts such as scatter plots with trend lines, calculate measures of fit and statistical significance, and export cleaned data and statistical summaries.

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• Clean missing group labels and numeric text
• Compare group averages and variation
• Analyze numeric relationships with scatter plots and trend lines

Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.

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• Compare category distributions across groups
• Clean category labels and fill merged-cell gaps
• Export analysis results to Excel

Inspect multi-sheet Excel files, use Parquet, a column-based file format, for larger datasets, and clean text before analysis. Produce category summaries, identify maximum values, and export formatted reports or scatter plots with fitted straight trend lines.

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• Assess data volume in multi-sheet Excel files
• Clean unwanted characters from text columns
• Summarize categories and highlight the maximum

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Add multiple blockchain wallets or exchange accounts to TRES Finance. Import wallet details from CSV, Excel, or plain text, check addresses and duplicates, review the proposed entries, and confirm before submitting them together.

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• Import wallet addresses from CSV or Excel
• Register multiple wallets from plain text
• Check wallet addresses and duplicates before upload

Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.

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• Estimating policy or intervention effects
• Comparing public health effect estimates
• Examining how effects differ across groups

Process PDF documents with Python libraries and command-line tools to extract text and tables, merge or split files, fill forms, and create documents. Examples also cover scanned text recognition and exporting tables to Excel.

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• Extracting PDF tables into Excel
• Merging documents or splitting selected pages
• Recognizing text in scanned PDFs

Build Excel workbooks for buyouts financed with debt. Using a supplied or standard template, the skill connects funding, operating forecasts, debt repayment, and returns, calculating IRR, an annualized return measure, and MOIC, the investment multiple.

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• Populate an LBO template with acquisition assumptions
• Review borrowing, interest, and repayment schedules
• Calculate investment returns using IRR and MOIC

Turn CSV, Excel, or JSON data into a visual report page with key metrics, multiple charts, a data table, and written observations. The report uses supplied data and includes its source, reporting period, and methodology.

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• Turn growth data into a visual weekly report
• Present key metrics and year-over-year changes
• Share charts alongside source data and methodology

Calculate financial ratios from company statements to assess profitability, ability to cover obligations, efficiency, and valuation. Results include explanations, comparisons across periods, available industry benchmarks, and a formatted Excel report.

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• Comparing profitability across reporting periods
• Assessing ability to cover short-term obligations
• Calculating valuation ratios for investment analysis

Apply corporate brand standards to PowerPoint, Excel, and PDF documents. The skill guides colors, fonts, layouts, logo placement, and writing style, with scripts for applying formatting and checking compliance.

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• Creating presentations with consistent corporate branding
• Standardizing spreadsheet tables and charts
• Checking PDF layouts and writing style

Fill an existing investment banking PowerPoint template with data from Excel, CSV, and other source documents. The workflow maps content to slides, checks figures, formats tables and shapes, and reviews consistency across the finished presentation.

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• Filling a pitch deck template with spreadsheet data
• Updating figures in existing slides
• Fixing table and text formatting

Build an Excel comparison of public companies using financial performance, valuation ratios, and statistical benchmarks. The spreadsheet includes formulas, source notes, medians, and quartiles to show how each company compares with its peers.

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• Comparing public company valuations for M&A
• Benchmarking performance against industry peers
• Identifying unusually high or low valuation ratios

Create, inspect, and modify Word, Excel, and PowerPoint files using officecli, a command-line tool that does not require Office. Extract text, check formatting and structure, replace content, and add tables or charts.

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• Create reports, spreadsheets, and slide decks
• Extract text and inspect document structure
• Find formatting issues and replace text

Equip NanoClaw agents to convert attached office documents into Markdown locally using Firecrawl AnyDoc. Agents can read Word, PowerPoint, Excel, and text-based PDF files without uploading them to an external parsing service.

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• Reading and summarizing attached office documents
• Converting documents without uploading them to an external service
• Extracting text from text-based PDFs

Turn supplied CSV, Excel, or JSON data into a visual report page with key metric cards, multiple charts, and a data table. Include the reporting period, data sources, written observations, and a collapsible explanation of the methods used.

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• Turning weekly performance data into a report page
• Reviewing key metrics and year-over-year changes
• Sharing data trends with charts and supporting tables

Resume Python tasks after execute_code_sandbox errors or timeouts by saving the attempted code as a script and running it through run_shell. The workflow includes dependency checks, execution timeouts, and verification of generated files such as Excel reports.

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• Retrying Python code after sandbox errors
• Resuming Excel or CSV generation after a failure
• Running saved scripts with a longer timeout

Run Python through shell commands when sandbox execution fails because required packages are unavailable. The skill explains short commands, multiline scripts, package checks, and output verification, with examples for creating Excel and Word files.

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• Continuing Python work after sandbox import failures
• Creating Excel or Word files through shell commands
• Running multiline Python scripts with a heredoc

Diagnose Python spreadsheet failures through staged checks of the interpreter, library imports, file access, and basic operations. Minimal test scripts help separate environment problems from errors in the full processing script.

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• Investigating unclear errors returned by run_shell
• Diagnosing spreadsheet scripts that suddenly stop working
• Checking Python setup in a new environment or container

Build answers and reports from provided reference files before searching the web. The workflow identifies attachments, extracts and checks relevant data, tries alternatives for unreadable Word files, and states sources and missing information.

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• Creating a report from an attached Excel file
• Extracting reference text when Word file reading fails
• Identifying missing information before supplementary searches

Find key figures in tabular data using column names or row keywords, calculate category averages and percentages, and export the results as a structured Excel report and a pie chart.

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• Find figures using keywords in rows
• Calculate averages for a selected category
• Calculate one figure as a percentage of another

Office Scripts (Excel Online / Microsoft 365) development expert skill. Covers platform limitations, ExcelScript API patterns, testing strategy (lib + Vitest), and 13 real-world bug patterns discovered during production development. Trigger words: Office Scripts, ExcelScript, Excel Online, Office Script development, TypeScript Excel, Excel automation, CalculateRequirements, ImportCsvData

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