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Create and process Excel files, PDF checklists, and structured reports by running Python scripts directly. The skill covers multiple sheets, formulas, formatting, data transformations, and error handling for document workflows with several steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Process and format multiple Excel sheets
• Create PDF checklists
• Turn sales summaries into PDF reports

Create or edit Excel workbooks with checks for sheet names, row counts, formulas, and merged cells. Reopen the saved file and verify each requirement, recording explicit results rather than relying on a completion summary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an Excel workbook from a detailed specification
• Verify row counts and formulas after editing
• Identify the correct workbook among similar files

Process spreadsheets with Python after checking source files, required sheets and columns, and external data access. The workflow includes backup source checks and clear failure reports when the required data cannot be reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check required files and columns before processing Excel
• Verify external data access before updating a spreadsheet
• Check backup data when the primary source is unavailable

Validate spreadsheet sources before running Python scripts to transform data, update multiple sheets, or apply formatting. Check required data first, try backup sources when needed, and report errors clearly if processing cannot proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking required columns before processing Excel files
• Transforming data and saving a new workbook
• Updating formatting across multiple sheets

Verify saved Excel files directly with Python and openpyxl, a workbook library. Check sheets, headers, row counts, marked rows, and output files to resolve conflicting agent reports and summarize what actually exists on disk.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolve conflicting workbook reports from agents
• Check that spreadsheet edits were saved
• Count rows selected with a marker column

Process Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transform revenue data and save a processed Excel workbook
• Apply calculations across multiple worksheets
• Format report headers with colors and alignment

Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume Python work after repeated e2b errors
• Run a saved script to create an Excel file
• Investigate sandbox timeouts and connection failures

Gather web information and turn it into an Excel workbook with explicit checks. Handles search failures through delegated research, records sources and missing data, and verifies the saved workbook against requested requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compiling competitor prices into a verified Excel workbook
• Organizing market data with sources and collection times
• Continuing research after repeated search failures

Find input files in confirmed workspace folders, save outputs to explicit locations, and check the results against task requirements. Useful in restricted execution environments where familiar folders may be missing or inaccessible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding input files in an unfamiliar workspace
• Checking generated spreadsheet sheets and formulas
• Validating CSV or JSON outputs before delivery

Process Excel workbooks and generate PDF or Word documents by running Python scripts directly through run_shell. The skill covers multi-sheet edits, formatting, data transformations, document layout, and error handling for complex tasks that can exceed agent step limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transform data across multiple Excel sheets
• Apply spreadsheet formulas and formatting
• Generate PDF checklists and reports with tables

Recover from failed inline Python execution by saving the code as a script, running it through the shell, and checking the output. The four-step workflow helps diagnose errors in multiline code and spreadsheet generation tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering from failed inline Python execution
• Diagnosing heredoc parsing errors
• Debugging complex multiline scripts

Create and edit Excel workbooks by running a complete Python script through the shell. Covers multiple sheets, data entry, formatting, formulas, and saving files when other file-reading or code-execution tools fail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an Excel report with multiple sheets
• Apply data and formatting in one script
• Update cells in an existing XLSX file

Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports from attached spreadsheets
• Building property documents from supplied listing data
• Checking reference files before searching the web

Use attached spreadsheets and documents as the primary source for reports and analysis. Identify relevant files, extract needed data, and cite filenames, turning to external searches or clearly labeled estimates only when the supplied material lacks required information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a report from an attached Excel file
• Extracting required figures from CSV or PDF files
• Citing the source filename for reported data

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Extract data from supplied spreadsheets and documents, check for missing or truncated content, and try alternative reading methods when needed. Results identify source files and clearly separate extracted facts from external information or estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports from attached spreadsheets
• Recovering pricing tables from incomplete Word extraction
• Re-reading missing sections of a PDF

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry failed Excel or CSV generation
• Resume data transformations after a sandbox error
• Investigate Python errors through shell output

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build complex Excel files in four stages: extraction, preparation, calculation, and formatted output. Intermediate CSV files let agents and reviewers inspect data, validate forecasts, locate errors, and rerun individual stages without repeating the entire workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining multiple data sources into an Excel file
• Checking intermediate values in sales forecasts
• Locating errors in data preparation or calculations

Locate missing files and verify their full paths before processing them. This workflow checks directory contents, searches by filename, and inspects permissions, size, and modification time to help resolve FileNotFoundError, an error indicating a file could not be found.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating FileNotFoundError
• Finding files with unknown locations
• Checking file existence and permissions before processing

Continue Excel file creation and editing when execute_code_sandbox repeatedly fails with openpyxl errors. Use run_shell to run Python directly, then check that the workbook was saved with the expected sheets and content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing Excel creation after sandbox errors
• Editing existing workbooks and adjusting column widths
• Checking saved workbook sheets and content

Create spreadsheets, diagrams, and PDF reports in a staged workflow. Allocate execution attempts across deliverables, check generated files, and use simpler methods or alternative formats when tool errors or limited remaining attempts interrupt progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a comparison spreadsheet, diagram, and report
• Allocating execution attempts across several deliverables
• Recovering from file generation errors with fallback methods

Organizes creation of a spreadsheet, a diagram, and a summary PDF as a related report package. Allocates attempts across components, checks generated files, and provides fallback methods when a tool or output fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a spreadsheet, diagram, and PDF report together
• Documenting equipment choices, layouts, and costs
• Dividing generation attempts across multiple deliverables