fsi-ib-datapack-builder
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers.
Skill by d-wwei
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/d-wwei-fsi-ib-datapack-builder
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: spreadsheets, data, finance, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fsi-ib-datapack-builder
What's inside
- Skill name
fsi-ib-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.
- License
- Apache-2.0
- Instructions
- 653 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: 653 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# Financial Data Pack Builder 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. ## CRITICAL SUCCESS FACTORS Every data pack must achieve these standards. Failure on any point makes the deliverable unusable. ### 1. Data Accuracy (Zero Tolerance for Errors) - Trace every number to source document with page reference - Use formula-based calculations exclusively (no hardcoded values) - Cross-check subtotals and totals for internal consistency - Verify balance sheet balances: Assets = Liabilities + Equity - Confirm cash flow ties to balance sheet changes ### 2. ESSENTIAL RULES **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. ### 3. Professional Presentation Standards **Formatting Standards:** **Color Scheme - Two Layers:** **Layer 1: Font Colors (MANDATORY from xlsx skill)** - **Blue text (RGB: 0,0,255)**: ALL hardcoded inputs (historical data, assumptions), NOT normal text - **Black text (RGB: 0,0,0)**: ALL formulas and calculations - **Green text (RGB: 0,128,0)**: Links to other sheets **Layer 2: Fill Colors (Optional for enhanced presentation)** - Fill colors are optional and should only be applied if requested by the user or if enhancing presentation - If the user requests colors or professional formatting, use this standard scheme: - **Section headers**: Dark blue (RGB: 68,114,196) background with white text - **Sub-headers/column headers**: Light blue (RGB: 217,225,242) background with black text - **Input cells**: Light green/cream (RGB: 226,239,218) background with blue text - **Calculated cells**: White background with black text - Users can override with custom brand colors if specified **How the layers work together (if fill colors are used):** - Input cell: Blue text + light green fill = "User-entered data" - Formula cell: Black text + white background = "Calculated value" - Sheet link: Green text + white background = "Reference from another tab" **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:** - Bold headers, left-aligned - Numbers right-aligned - 2-space indentation for sub-items - Single underline above subtotals - Double underline below final totals - Freeze panes on row/column headers - Minimal borders (only where structurally needed) - Consistent font (typically Calibri or Arial 11pt) **Never include:** - Borders around every cell - Multiple fonts or font sizes - Charts unless specifically requested - Excessive formatting or decoration ## Structural Consistency 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 ### Tab 1: Executive Summary Purpose: One-page overview for busy executives Contents: - Company overview (2-3 sentences on business model) - Key investment highlights (3-5 bullet points) - Financial snapshot table (Revenue, EBITDA, Growth for last 3 years + projections) - Transaction overview if applicable - Key metrics prominently displayed Format: Clean, bold headers, minimal decoration, critical numbers emphasized
From d-wwei/openclaw-financial-services, Apache-2.0.
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Signals
- Stars
- 17
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Feb 25, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
fsi-ib-datapack-builder skill. Agent Mart. https://agentmart.dev/skills/d-wwei-fsi-ib-datapack-builder (last updated 2026-10-24)