1K skills ・ Works with: Excel · sorted by popularity
Process PDFs, Office documents, HTML, and images through the Nutrient DWS API. Convert formats, extract text and tables, recognize text in scans with OCR, remove sensitive information, add watermarks or digital signatures, and fill PDF forms.
Create financial Excel workbooks with Python, using formulas, color-coded inputs, source comments, and consistency checks. Build models that reviewers can trace and users can adjust by changing assumptions.
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.
Build an Excel workbook linking the income statement, balance sheet, and cash flow statement. Populate historical figures, create formula-based forecasts, compare scenarios, and check that balances and cash totals agree across all three statements.
Build an Excel workbook for discounted cash flow valuation, which estimates company value from future cash flows. Include revenue forecasts, cash flow calculations, scenario comparisons, and tables showing how changing assumptions affects the estimated share value.
Create PowerPoint files from Excel financial models using Python. Build slides with figures linked to source cells, apply a firm template, and embed chart images for pitch decks, investment memos, or earnings presentations.
Build an Excel workbook showing how an acquisition changes earnings per share. Organize purchase price, funding, and synergy assumptions, compare deal scenarios, calculate the synergies needed to avoid reducing earnings per share, and prepare a concise summary.
Build an Excel workbook comparing similar companies by revenue, margins, and valuation multiples, which relate company value to sales or earnings. Include formulas, medians, quartiles, and documented sources to support investment or acquisition analysis.
Create, inspect, and edit Excel workbooks using Python helper scripts. Build formatted reports with multiple sheets, formulas, and charts, update existing tables, adjust references during structural changes, and convert data between Excel and CSV.
Create, edit, and clean spreadsheet files, convert table formats, and add formulas, formatting, or charts. The workflow includes recalculating formulas and checking errors before delivering a spreadsheet that updates when its inputs change.
Create reusable agent skills from recurring tasks, or improve existing ones through test prompts and user feedback. Compare outputs with and without a skill, measure performance, and refine descriptions so skills are invoked for the right requests.
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.
Turn a repeatable workflow into a skill, or improve an existing one through test prompts and feedback. Compare results with and without the skill, review performance measurements, and refine its description so it triggers appropriately.
Analyze Excel and CSV files to summarize statistics, filter records, compare groups, and join data across sheets or files. Export results as CSV, JSON, or Markdown tables for further work or sharing.
Read local PDFs, scanned images, and Office documents for summaries, questions, and citations. Extract readable content, search indexed documents, and work through long files in sections while retaining precise page and block references.
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.
Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Build formulas and formatting with openpyxl, a Python library, then recalculate and validate workbooks to check for formula errors and file problems.
Create, edit, and inspect spreadsheets for reusable budgets, models, and trackers. Check formulas and dependent totals, preserve unrelated data, and deliver an editable workbook or a link to the updated native spreadsheet.
Create and edit Google Docs, Sheets, and Slides in Google Drive. Keep existing file links while updating text, formatting cells, adding tabs or charts, and checking the results through the appropriate Google connectors.
Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing workbook conventions, and recalculate formulas with error checks before delivering the spreadsheet.
Create and improve agent skills by defining tasks, writing instructions, and testing realistic requests. Compare outputs, success rates, time, and token use, then refine the skill and its description so it triggers appropriately.
Combine tools for research, reference management, notes, document creation, and publishing. Agents check available software and credentials, then choose suitable tools based on output requirements, costs, and offline needs to build a complete workflow.
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.
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.