verify
Verify changes to the claude-for-msft-365-install admin scripts and commands by driving them against an isolated fake $HOME.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure,
Claude Code
$ npx -y skills add anthropics/financial-services --skill datapack-builder --agent claude-code
Codex
$ npx skills add anthropics/financial-services --skill datapack-builder -a codex -y
Cursor
$ npx skills add anthropics/financial-services --skill datapack-builder -a cursor -y
Gemini CLI
$ npx skills add anthropics/financial-services --skill datapack-builder -a gemini-cli -y
GitHub Copilot
$ npx skills add anthropics/financial-services --skill datapack-builder -a github-copilot -y
OpenCode
$ npx skills add anthropics/financial-services --skill datapack-builder -a opencode -y
Windsurf
$ npx skills add anthropics/financial-services --skill datapack-builder -a windsurf -y
name: datapack-builder description: Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.
Build professional, standardized financial data packs for private equity, investment banking, and asset management. Transform financial data from CIMs, offering memorandums, SEC filings, web search, or MCP server access into polished Excel workbooks ready for investment committee review.
**Important:** Use the xlsx skill for all Excel file creation and manipulation throughout this workflow.
Every data pack must achieve these standards. Failure on any point makes the deliverable unusable.
**RULE 1: Financial data (measuring money) → Currency format with $** Triggers: Revenue, Sales, Income, EBITDA, Profit, Loss, Cost, Expense, Cash, Debt, Assets, Liabilities, Equity, Capex Format: $#,##0.0 for millions, $#,##0 for thousands Negatives: $(123.0) NOT -$123
**RULE 2: Operational data (counting things) → Number format, NO $** Triggers: Units, Stores, Locations, Employees, Customers, Square Feet, Properties, Headcount Format: #,##0 with commas Negatives: (123) consistent with rest of table
**RULE 3: Percentages (rates and ratios) → Percentage format** Triggers: Margin, Growth, Rate, Percentage, Yield, Return, Utilization, Occupancy Format: 0.0% for one decimal place Display: 15.0% NOT 0.15
**RULE 4: Years → Text format to prevent comma insertion** Format: Text or custom to prevent 2,024 Display: 2020, 2021, 2022, 2023A, 2024E
**RULE 5: When context is mixed, each metric gets its own appropriate format** Example:
Segment Analysis, 2022, 2023, 2024 Retail Revenue, $50.0, $55.0, $60.0 Stores, 100, 110, 120 Revenue per Store, $0.5, $0.5, $0.5
Revenue and per-store metrics use $, Store count uses number format.
**RULE 6: Use formulas for all calculations → Never hardcode calculated values** All subtotals, totals, ratios, and derived metrics must be formula-based, not hardcoded values. This ensures accuracy and allows for dynamic updates.
**Formatting Standards:**
**Color Scheme - Two Layers:**
**Layer 1: Font Colors (MANDATORY from xlsx skill)**
**Layer 2: Fill Colors (Optional for enhanced presentation)**
**How the layers work together (if fill colors are used):**
**Font color tells you WHAT it is. Fill color tells you WHERE it is (if used).**
**IMPORTANT:** Font colors from xlsx skill are mandatory. Fill colors are optional - default is white/no fill unless the user requests enhanced formatting or colors.
**Always apply:**
**Never include:**
Use the standard 8-tab structure unless explicitly instructed otherwise: 1. Executive Summary 2. Historical Financials (Income Statement) 3. Balance Sheet 4. Cash Flow Statement 5. Operating Metrics 6. Property/Segment Performance (if applicable) 7. Market Analysis 8. Investment Highlights
Purpose: One-page overview for busy executives
Contents:
Format: Clean, bold headers, minimal decoration, critical numbers emphasized
Purpose: Complete profit and loss history
Contents:
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment banking, equity research, private equity, and wealth management.
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