“formulas”的搜索结果

制作Excel工作簿，比较类似企业的收入、利润率及估值倍数。汇总公式、中位数、四分位数和数据来源，为投资或收购评估准备可更新的比较资料。

• 与同行比较企业价值
• 制作收购评估比较资料
• 比较行业增长与盈利能力

使用Python创建财务模型Excel文件，通过颜色区分输入值、公式和引用，添加来源批注与一致性检查，便于他人核验，并随假设调整更新计算结果。

• 创建可追溯数据来源的财务模型
• 比较不同假设下的企业估值
• 准备供他人审核的Excel文件

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.

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• Reading scanned PDFs with optical character recognition
• Summarizing Office documents and answering questions
• Reading long documents a few pages at a time

Use SymPy to simplify expressions, solve equations, and calculate derivatives, integrals, and matrices with exact symbolic results. Specify assumptions, verify solutions, and turn mathematical expressions into numerical functions, source code, or LaTeX output.

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• Solving equations and checking their solutions
• Calculating symbolic derivatives, integrals, and limits
• Finding matrix eigenvalues with exact arithmetic

Define a practical KPI dashboard, a view of key business measures, by organizing metric definitions, sources, formulas, periods, targets, and owners. Produces empty CSV, SQL, JSON Schema, or Notion import mappings when requested.

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• Choose metrics for a business decision
• Review an overcrowded KPI dashboard
• Create a CSV register of metric definitions

Explains how PluginEval combines structural checks and experimental model assessments into quality scores. Helps interpret low scores, identify improvement areas, set marketplace thresholds, and explain what evaluation badges actually represent.

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• Investigating why a skill received a low score
• Improving descriptions that define when a skill should run
• Setting score thresholds for marketplace listings

Guide slide edits with concrete rules for text size, spacing, alignment, and color contrast. Use it when replacing content or adjusting individual elements to keep pages readable and consistent with their existing design.

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• Replace slide text without overflowing its box
• Improve contrast between text and its background
• Align cards and adjust spacing consistently

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 an Excel comparison of public companies using financial performance, valuation ratios, and statistical benchmarks. The spreadsheet includes formulas, source notes, medians, and quartiles to show how each company compares with its peers.

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• Comparing public company valuations for M&A
• Benchmarking performance against industry peers
• Identifying unusually high or low valuation ratios

Prepare spreadsheet data for analysis by finding extra spaces, inconsistent capitalization, numbers stored as text, mixed date formats, and duplicates. Review proposed fixes, apply traceable formula-based changes, and compare results before and after cleanup.

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• Cleaning spreadsheet data before analysis
• Standardizing dates and text capitalization
• Finding duplicate rows and mixed data types

Generate an Excel workbook file in an agent session without an open Office app. Use Python and openpyxl to organize inputs, formulas, and checks, then save the .xlsx file and return its relative path.

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• Creating an Excel file without opening Office
• Keeping model inputs and calculations on separate sheets
• Adding a sheet for financial consistency checks

Diagnose slow Power BI reports, data refreshes, and queries through structured measurement and troubleshooting. Get recommendations for data models, DAX calculation formulas, report layouts, and infrastructure, with guidance for validating improvements and ongoing monitoring.

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• Diagnose slow report pages and visual interactions
• Investigate data refresh delays
• Review slow DAX calculations and queries

Turn academic papers and research reports into investment signals and trading strategies. Coordinate existing tools to extract formulas, implement rules, test them on historical data, store results, and monitor whether their effectiveness declines over time.

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• Extract investment signals from a research paper
• Implement and test trading rules on historical data
• Evaluate and store research results

Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.

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• Find bundled momentum or reversal factors
• Inspect a named factor's formula and metadata
• Compare a factor library across a chosen universe and period

Model trading costs and execution assumptions in backtests, including slippage, the gap between expected and simulated fill prices. Compare price impact, fees, execution delays, and order splitting to assess how assumptions affect strategy results.

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• Compare backtests under different slippage assumptions
• Estimate how trading costs reduce annual returns
• Explore VWAP and TWAP order splitting

Build a local interactive interface for exploring calculations, simple simulations, and weighted comparisons. Adjust inputs to see how results change, with visible formulas, units, and assumptions that explain what the numbers mean.

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• Exploring how input values change a calculation
• Comparing options with adjustable scoring weights
• Estimating capacity with a simple worker model

Check game design documents against a shared registry of entities, items, formulas, and constants. Get a report of conflicting values, outdated registry entries, and references that lack enough detail to verify, with guidance on which documents need changes.

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• Checking consistency after adding a game design document
• Finding conflicting item prices or attributes
• Reviewing documents changed since the last review

Review a game design document before implementation. Check missing sections, conflicting rules, formulas, dependencies, and testable success conditions, then report blocking issues and recommended changes. Full mode adds reviews by relevant specialist agents.

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• Check a design document before implementation
• Find formula errors and conflicting system rules
• Rewrite vague success conditions as measurable checks

Turn existing game code or prototypes into missing design, architecture, or concept documents. Extract implemented rules, formulas, and technical choices, ask about their intended purpose, and clearly separate observed behavior from unconfirmed interpretations.

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• Documenting a feature built without a design document
• Understanding an inherited codebase with missing documentation
• Turning a gameplay prototype into a concept document

Review articles, emails, documentation, and other reader-facing prose for invisible characters and formulaic writing. When measured signals are high, revise the wording while preserving facts, the writer’s voice, code, citations, and required disclosures.

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• Final checks on articles and manuscripts
• Polishing emails and product copy
• Reviewing prose in Markdown and HTML

Write and troubleshoot n8n expressions, the formulas that pass and transform data between workflow steps. Covers field references, webhook inputs, dates, strings, and choosing between expressions and Code nodes for data transformations.

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• Fixing expression syntax errors
• Using webhook data in downstream steps
• Formatting dates and strings

Create and edit Excel workbooks for data analysis, reports, and financial models. Build formulas that update with inputs, organize sheets, add charts and interactive pivot tables, and recalculate the workbook to check for formula errors.

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• Create an Excel report with charts
• Build a financial model with adjustable assumptions
• Summarize data in interactive pivot tables

Support stock and cryptocurrency analysis with reference formulas for price indicators, position sizing, and risk measures. The skill also covers financial data sources and Alpaca API operations, including market data retrieval, order management, and paper trading.

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• Comparing price indicators and candlestick patterns
• Calculating position sizes and loss limits
• Exploring paper trading with the Alpaca API

Turn scattered research equations and notes into a structured derivation document. Clarify the target, assumptions, and notation; distinguish exact steps from approximations and interpretations; and report missing conditions or logical gaps when the derivation cannot be supported.

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• Organize scattered equations into a coherent derivation
• Choose the central quantity for a theory
• Separate exact steps, approximations, and interpretations