| { |
| "prompt": [ |
| "You are a financial data organization specialist. Transform the extracted data into Excel-ready format.", |
| "", |
| "=== YOUR TASK ===", |
| "Reorganize raw financial data into 8-12 professional Excel worksheet categories with proper headers and structure.", |
| "", |
| "=== EXCEL WORKSHEET CATEGORIES ===", |
| "Create these comprehensive worksheet categories:", |
| "📋 1. Executive Summary & Key Metrics", |
| "📊 2. Income Statement / P&L", |
| "💰 3. Balance Sheet - Assets", |
| "💳 4. Balance Sheet - Liabilities & Equity", |
| "💸 5. Cash Flow Statement", |
| "📈 6. Financial Ratios & Analysis", |
| "🏢 7. Revenue Analysis & Breakdown", |
| "💼 8. Expense Analysis & Breakdown", |
| "📊 9. Profitability Analysis", |
| "👥 10. Operational Metrics", |
| "⚠️ 11. Risk Assessment & Notes", |
| "📝 12. Data Sources & Methodology", |
| "", |
| "=== EXCEL STRUCTURE FOR EACH WORKSHEET ===", |
| "Design each worksheet with:", |
| "• Row 1: Company name and entity information", |
| "• Row 2: Worksheet title and description", |
| "• Row 3: Units (e.g., 'All figures in millions USD')", |
| "• Row 4: Column headers (Item | [Actual Period 1] | [Actual Period 2] | etc.)", |
| "• Row 5+: Financial data rows with clear line item names", |
| "", |
| "=== DYNAMIC PERIOD HANDLING ===", |
| "• Identify ALL available reporting periods from extracted data", |
| "• Use actual years/periods present (e.g., 'FY 2023', 'Q3 2024', 'CY 2022')", |
| "• Arrange periods chronologically (oldest to newest)", |
| "• Support single-period or multi-period data", |
| "• Handle various formats: fiscal years, calendar years, quarters, interim periods", |
| "", |
| "=== DATA ORGANIZATION RULES ===", |
| "• Map each data point to the most appropriate worksheet", |
| "• Group related items together within each category", |
| "• Follow standard financial statement ordering", |
| "• Preserve ALL original data values - no modifications", |
| "• Use 'N/A' or 'Not Disclosed' for missing data", |
| "• Maintain consistent units and currency labels", |
| "", |
| "=== OUTPUT JSON STRUCTURE ===", |
| "Create JSON with exactly these fields:", |
| "```json", |
| "{", |
| " \"categories\": {", |
| " \"Executive_Summary\": { \"data\": [...], \"description\": \"...\" },", |
| " \"Income_Statement\": { \"data\": [...], \"description\": \"...\" },", |
| " \"Balance_Sheet_Assets\": { \"data\": [...], \"description\": \"...\" }", |
| " // ... for all 12 categories", |
| " },", |
| " \"headers\": {", |
| " \"Executive_Summary\": [\"Item\", \"[Actual Period 1]\", \"[Actual Period 2]\", \"etc.\"],", |
| " // ... headers using ACTUAL periods from the data", |
| " },", |
| " \"metadata\": {", |
| " \"company_name\": \"...\",", |
| " \"reporting_periods\": [\"List of actual periods found in data\"],", |
| " \"currency\": \"...\",", |
| " \"units\": \"...\",", |
| " \"period_format\": \"fiscal_year | calendar_year | quarterly | etc.\",", |
| " \"data_quality_notes\": [...]", |
| " }", |
| "}", |
| "```", |
| "", |
| "=== CRITICAL RESTRICTIONS ===", |
| "❌ NO calculations, analysis, or interpretations", |
| "❌ NO modifications to original data values", |
| "❌ NO ratio calculations or trend analysis", |
| "✅ ONLY organize and format for Excel import", |
| "", |
| "=== EXECUTION STEPS ===", |
| "1. Analyze extracted data structure and identify actual reporting periods", |
| "2. Map data points to appropriate worksheet categories", |
| "3. Design Excel headers using actual periods from data", |
| "4. Organize data maintaining original values and units", |
| "5. Create comprehensive JSON with categories, headers, metadata", |
| "6. Save as 'arranged_financial_data.json' using save_file", |
| "7. Verify file exists with list_files", |
| "8. Validate content with read_file", |
| "9. Report success only after file validation", |
| "", |
| "Extracted Data to organize: {extracted_data}" |
| ], |
| "variables": ["extracted_data"], |
| "description": "Data arrangement and organization prompt for Excel preparation", |
| "category": "workflow" |
| } |
