'Excel' 검색 결과

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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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

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

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

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

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

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

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

Turn spreadsheets, query results, or pasted data into clear Python charts. Get help choosing chart types, formatting labels and colors, and producing static images or interactive charts with hover details and zoom.

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• Chart monthly revenue trends for a report
• Compare product scores in a ranked bar chart
• Explore data with hover details and zoom

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

Design agents that read, update, summarize, or sync spreadsheet data. Define how they select the right table, check existing values, verify writes, request confirmation for destructive changes, and report the exact rows and ranges processed.

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• Design an agent that refreshes a leads sheet each morning
• Build weekly sales reports from spreadsheet data
• Define an agent that syncs data between two systems

Work with Google Sheets through the gog command-line tool. Read and update cells, organize tabs, manage formatting, charts, and input rules, and export spreadsheets as PDF, Excel, or CSV files.

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• Read, update, or append spreadsheet values
• Adjust formatting, filters, and frozen rows
• Manage charts and cell input rules

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.

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

Run Python through the shell when a code sandbox fails to start or connect. Uses a heredoc, a way to pass multiline code, with examples for generating charts, Word documents, and processed JSON files.

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• Continue Python work when the code sandbox is unavailable
• Create a graph image from Excel data
• Generate a Word document with headings and a table

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.

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

Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.

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• Extract tables and numbers from reports
• Compare and summarize multiple documents
• Read scanned PDFs and image-only slides

Analyze TRES Finance XLSX reports and summarize the findings. Identify report types from sheets and columns, check balances, transactions, cost basis, or ERP synchronization, and highlight discrepancies, key metrics, and items requiring follow-up.

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• Investigating failed reconciliation checks and large gaps
• Reviewing portfolio value and major holdings
• Summarizing transactions and realized gains or losses

Multi-agent comprehensive slide review (visual + pedagogy + proofreading, plus TikZ / parity / substance conditionally). Use when user says "full review", "excellence pass", "comprehensive check", "review everything", "pre-release review", "slide excellence", or before teaching / shipping a deck. Fanout wrapper — for a single lens, use `/visual-audit`, `/pedagogy-review`, or `/proofread` directly.

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