AI驱动的电子表格和Excel生成平台,由CellCog提供,支持财务模型、预算模板、数据追踪、预测、透视表和复杂公式,输出XLSX。
CellCog is built by its own Coding Agent. That same agent builds your spreadsheets.
Full Python access, complex data manipulation, formulas, pivot tables, and financial models — powered by the engineering brain that develops an entire AI platform daily. Not a template filler. A programmer that understands your data and builds exactly what you need.
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
python
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)
All agents except OpenClaw (blocks until done):
python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)
print(result["message"])
Professional financial analysis and projections:
Personal and business budgets:
Organized tracking for any data:
Operational spreadsheets:
Data analysis and calculations:
CellCog spreadsheets can include:
FeatureDescriptionFormulasSUM, AVERAGE, IF, VLOOKUP, and complex calculationsFormattingHeaders, colors, borders, number formats, conditional formattingChartsBar, line, pie charts embedded in sheetsMultiple SheetsOrganized workbooks with linked sheetsData ValidationDropdowns, input restrictionsNamed RangesFor cleaner formulasPrint LayoutReady for printing/PDF
FormatBest ForXLSXEditable in Excel, Google Sheets, NumbersInteractive HTMLWeb-based calculators and tools
Use chat_mode="agent", chat_tier="max" for spreadsheet work. Financial models and formula correctness are coding-grade work where errors are costly.
ScenarioRecommendedFinancial models, multi-sheet workbookschat_mode="agent", chat_tier="max"Simple one-table sheetschat_mode="agent" (defaults to "flash")
Agent Team ( chat_mode="team") is reserved for deep research — spreadsheet work runs best on Agent max.
SaaS financial model:
"Create a 3-year SaaS financial model with:
Assumptions Sheet:
- Starting MRR: $10,000
- Monthly growth rate: 15%
- Churn rate: 3%
- Average revenue per customer: $99
- CAC: $500
- Gross margin: 80%
Monthly P&L: Revenue, COGS, Gross Profit, Operating Expenses (broken down), Net Income
Key Metrics: MRR, ARR, Customers, Churn, LTV, CAC, LTV:CAC ratio
Charts: MRR growth, customer growth, profitability timeline
Include scenario toggles for growth rate (10%, 15%, 20%)."
Personal budget:
"Create a monthly personal budget spreadsheet:
Income Section: Salary, side income, other
Fixed Expenses: Rent, utilities, insurance, subscriptions, loan payments
Variable Expenses: Groceries, dining out, transportation, entertainment, shopping, health
Savings: Emergency fund, retirement, vacation fund
Include:
- Monthly summary with % of income per category
- Year-at-a-glance sheet with monthly totals
- Pie chart showing expense breakdown
- Conditional formatting (red if over budget)
Assume $5,000/month income."
Sales tracker:
"Build a sales pipeline tracker spreadsheet with:
Columns: Company, Contact, Deal Value, Stage (dropdown: Lead, Qualified, Proposal, Negotiation, Closed Won, Closed Lost), Probability, Expected Close Date, Notes, Last Contact
Calculations: Weighted pipeline value, deals by stage, win rate
Dashboard Sheet: Pipeline by stage (funnel chart), monthly forecast, top 10 deals, activity metrics
Include sample data for 20 deals."
Break-even analysis:
"Create a break-even analysis spreadsheet:
Inputs:
- Fixed costs (rent, salaries, etc.)
- Variable cost per unit
- Selling price per unit
Calculations:
- Break-even units
- Break-even revenue
- Margin of safety
Sensitivity table: Show break-even at different price points
Chart: Cost-volume-profit graph showing break-even point
Default values: Fixed costs $50,000/month, variable cost $15/unit, price $25/unit."
Specify the structure: List the sheets, columns, and calculations you need.
Provide assumptions: For financial models, give starting numbers and growth rates.
Mention formulas needed: "Include VLOOKUP for...", "Calculate running totals", "Show variance vs plan."
Request sample data: "Include realistic sample data for testing" helps see it in action.
Describe formatting: "Conditional formatting for negative values", "Currency format", "Freeze header row."
Chart preferences: "Include a line chart showing trend", "Pie chart for breakdown."
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: openclaw skills install @cellcog/cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool)
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.