스킬 찾기

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Create charts for numeric data and diagrams for processes or relationships. Explains how to choose ECharts or Mermaid, apply clear formatting, and use chart_render to display the result in chat and save a downloadable PNG.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing revenue across regions or products
• Showing trends across multiple metrics
• Turning workflows or system relationships into diagrams

Create, edit, repair, and convert spreadsheet files, including Excel workbooks and CSV data. Clean messy tables, add formulas and formatting, preserve existing template styles, and recalculate formulas to check for errors before delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean messy CSV data into a spreadsheet
• Add formulas and columns to an existing workbook
• Update a workbook while preserving its template

Create, read, edit, and convert presentations, spreadsheets, Word documents, and PDFs with GenOffice's command line. Build files from text or data, inspect existing documents, and render pages as images to review their appearance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a presentation from a brief
• Create a workbook with formulas from CSV or JSON
• Turn Markdown into a Word document

Build or review tables that match patent claim elements or civil legal requirements to product information and evidence. Each mapping cites a precise source location, while a separate gap list identifies evidence still needed for attorney analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping patent claims to an accused product
• Comparing patent claims with prior art
• Finding missing evidence for civil claims or defenses

Extract the same fields from a batch of contracts or other documents into a comparison spreadsheet. Each answer includes a source quote and location, while missing, ambiguous, and review-required information is clearly distinguished for human verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare contract clauses during M&A due diligence
• Audit vendor contracts using a shared set of fields
• Review dates and notice periods across a lease portfolio

Track legal work after an acquisition closes, including counterparty consents, contract transfers, and purchase agreement deadlines. Build phased workplans from available deal documents, update progress, and produce status reports or CSV exports for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a phased legal workplan after an acquisition closes
• Prioritize contract transfers and outstanding consents
• Prepare reports on deadlines, blockers, and progress

Track filing deadlines and completion status for each legal entity and jurisdiction. Identify upcoming, overdue, and unknown items, review gaps in entity records, and export the tracker as CSV for sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check filings due in the next 30, 60, or 90 days
• Update records from a registered agent's report
• Review overdue filings and missing entity information

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing documents for a searchable knowledge base
• Structuring contract text for information extraction
• Checking parsing confidence before manual review

Turn slide content stored in JSON, a structured data format, into editable .pptx presentations with text, images, charts, and tables. Apply layouts, styles, or templates, validate the results, and process multiple input files in batches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting existing JSON slide content into an editable presentation
• Applying consistent fonts and colors to reporting slides
• Generating several presentations in one batch

Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare documents for retrieval-augmented generation
• Structure documents for an internal knowledge base
• Extract structured text from contracts

Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill PDF forms after validating submission data
• Export tables from reports to CSV or Excel
• Extract text from scanned PDFs with OCR

Update or create Excel workbooks with checks against the requested structure. Identify the correct file before editing, then reread the saved workbook to verify sheet names, populated columns, row counts, and selected sample counts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the correct workbook among similarly named files
• Verify required sheets and columns after editing
• Check selected sample counts and required selection criteria

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

Audit an Excel workbook before editing, then verify the saved file with Python and openpyxl. Each requested requirement receives an explicit status, so completion depends on checks of the actual file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify exact sheet names and row counts
• Check sample size and category coverage
• Confirm required source sheets remain after editing

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 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

Process complex Excel files by running Python scripts directly through run_shell. Use pandas for data transformations and openpyxl for workbook editing, including multiple sheets, formulas, and formatting, with explicit saving and error reporting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Processing multiple Excel sheets in one script
• Calculating new columns from spreadsheet data
• Formatting report headers and cells