256 skills · sorted by relevance
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.