'excel' 검색 결과

Continue file reading and data processing when execute_code_sandbox or read_file fails. This skill runs multiline Python through run_shell, with examples for text, JSON, spreadsheets, PDF and Word documents, plus basic summaries and grouped calculations.

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• Reading text or JSON when read_file fails
• Inspecting Excel and CSV data through Python
• Extracting text from PDF and Word documents

Create formula-based Excel valuation workbooks for public companies using discounted cash flow, a method that converts future cash flows into present value. Include per-share estimates, assumption sensitivities, source records, and checks that flag model limitations.

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• Build a DCF valuation workbook for a public company
• Refresh a valuation with updated assumptions
• Compare values across capital costs and growth rates

Assess numeric Excel columns using IQR, a measure of the middle half of values, to flag outliers. Summarize counts and limits, create box plots, and examine distribution shape to inform data cleaning.

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• Checking outliers before data analysis
• Comparing outlier rates across numeric columns
• Reviewing distribution shape with box plots

Group Excel figures by department or product line, assign performance tiers, and calculate projections using growth rates set for each tier. Compare current and projected values in charts and summarize overall growth for target setting.

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• Setting sales targets by department
• Estimating production targets by product line
• Comparing projections under tier-specific growth assumptions

Find the TRES Finance report that fits a task such as month-end close, audit preparation, or balance checks. Recommendations explain relevant Excel tabs and columns, useful filters, and the report identifier needed for API exports.

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• Choose reports for month-end close or an audit
• Find a report showing balances on a past date
• Select transaction and realized gains reports for tax preparation

Extract unidentified external addresses from TRES Finance and export a deduplicated Excel workbook. An import-ready contacts sheet lets users add names and tags, while a reference sheet shows inferred networks, transaction counts, and USD volumes to help prioritize labeling.

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• Building an address book from transaction history
• Preparing a TRES contacts import sheet
• Prioritizing unidentified addresses by transaction volume

当代码涉及 Excel/CSV/JSON/PDF 大文件导出、批量序列化、内存里构建大对象时触发。防止 OOM、临时文件残留、同步导出阻塞 HTTP 线程等内存安全陷阱。

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Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

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PDF/PPTX/Excelファイルの読み取り・編集・分析を行うサブエージェント。 大きなドキュメントの処理をメインコンテキストから分離し、コンテキスト消費を最適化する。 「PDFを分析」「PPTXの内容を読んで」「Excelを解析」「スライドを編集」等のリクエストで発動。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

直近 1 週間の売上・廃棄・欠品・施策（Cowork から登録した発注を含む）を Dataverse から集計し、SV（スーパーバイザー）向けの週次店舗レポートを、チャットのグラフ（Render UI）と表、HTML レポート（頼まれたら Excel も）で作るスキル。 Use when ユーザーが「週次レポートを作って」「SV に今週の報告をまとめて」「今週の振り返りを Excel にして」と依頼したとき。 Dataverse MCP コネクタ（describe / read_query）を読み取りで使う。

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Analyzes legacy Excel 4.0 (XLM) macro malware by parsing extracted macro-sheet formulas for auto-executing names, obfuscation (FORMULA.FILL, CHAR concatenation), and download or execution primitives (EXEC, CALL, REGISTER). Activates for requests to analyze XLM macros, examine Excel 4.0 macro sheets, or deobfuscate legacy spreadsheet macros.

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Process, parse, create, and manipulate Excel spreadsheets (.xlsx, .xls) using libraries like xlsx, exceljs, or SheetJS for data import/export and spreadsheet automation. Use when reading Excel files for data import, generating Excel reports, exporting data to spreadsheets, parsing bulk uploads, creating financial reports, manipulating workbooks and worksheets, or building data export features.

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Build financial models for valuation and investment analysis using discounted future cash flows, assumption testing, and probability simulations. Outputs include Excel models, comparison tables, charts, and valuation ranges to examine possible outcomes and risks.

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• Build a company valuation model from financial statements
• Test how growth and discount rates affect valuation
• Simulate acquisition valuation under uncertain assumptions

Screen study titles, abstracts, and full texts against confirmed eligibility rules. Two AI reviewers assess records separately, with a third resolving conflicts, while outputs document exclusion reasons, selection counts, and the methods used.

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• Define eligibility rules from a review protocol
• Screen titles, abstracts, and full texts
• Resolve conflicting screening decisions

Analyze customer profitability and revenue durability for SaaS, subscription, and other recurring businesses. Examine acquisition costs, retention, and revenue trends by customer group, then produce an Excel workbook, summary slide, and issues for further investigation.

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• Assessing recurring revenue quality in an investment target
• Tracking revenue by customer acquisition year
• Comparing acquisition costs with customer lifetime value

Draft a Confidential Information Memorandum, a detailed company document for prospective buyers in an M&A sale. Organize business, market, customer, and financial information into a Word document with charts and a separate Excel financial appendix.

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• Drafting a company memorandum for prospective buyers
• Organizing company materials for an M&A sale
• Explaining investment strengths with supporting data

Structure a post-acquisition improvement plan linking revenue, cost, and operational initiatives to EBITDA, a profit measure. Produce a roadmap with 100-day priorities, performance targets, responsible owners, and an Excel model showing each initiative’s profit contribution.

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• Planning the first 100 days after an acquisition
• Mapping growth and cost initiatives to profit targets
• Preparing a value creation roadmap for the board

Complete an existing financial model template by entering historical data and forecast assumptions, then linking the income statement, balance sheet, and cash flow statement with formulas. Check statement balances, cash consistency, and scenario behavior as each section is completed.

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• Complete a partially filled financial model
• Link forecasts across three financial statements
• Check balance sheet and cash flow consistency

Review portfolio company financial reports in Excel, PDF, or CSV, compare key measures with budgets and prior periods, and summarize performance trends, warning signs, and compliance with financial conditions in loan agreements.

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• Reviewing monthly performance against budget
• Preparing financial summaries for board meetings
• Checking financial conditions in loan agreements

Update financial models after earnings, new company guidance, or changes in assumptions. Revise forecasts, recalculate valuation and price targets, and summarize significant changes with their reasons and implications for the investment view.

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• Updating a financial model after quarterly earnings
• Revising forecasts after changes in company guidance
• Reflecting interest rate and currency changes in valuation

Build repeatable business reports from connected data sources or uploaded CSV and XLSX files. Define metrics and comparisons, check the calculations, deliver a concise summary and Excel workbook, and save the report definition for future or scheduled runs.

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• Comparing sales by location with last year
• Reviewing overdue receivables by age
• Tracking labor costs as a percentage of revenue

Builds a 30/60/90-day cash flow forecast from accounting records, payment services, or CSV data. Uses historical payment timing to estimate uncertainty, flags specific cash risks, and delivers a chat summary, forecast page, and downloadable Excel workbook.

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• Check whether cash will cover the next payroll
• Review cash flow across three 30-day windows
• Identify invoices whose late payment could cause a shortfall

Convert laboratory instrument files into Allotrope Simple Model (ASM) JSON, a standardized data format, or tabular CSV. Detect instrument types, validate converted data, and export Python parsing code for analysis workflows or handoff to data engineers.

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• Standardizing instrument data for a laboratory management system
• Converting ELISA results into an importable CSV
• Exporting Python code to parse NanoDrop files