Spreadsheets Cog
AI spreadsheet and Excel generation powered by CellCog. Financial models, budget templates, data trackers, projections, pivot tables, complex formulas — XLSX...
AI spreadsheet and Excel generation powered by CellCog. Financial models, budget templates, data trackers, projections, pivot tables, complex formulas — XLSX...
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
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):
result = client.create_chat( prompt="[your task prompt]", notify_session_key="agent:main:main", task_label="my-task", chat_mode="agent", )
All agents except OpenClaw (blocks until done):
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", ) 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:
| Feature | Description |
|---|---|
| Formulas | SUM, AVERAGE, IF, VLOOKUP, and complex calculations |
| Formatting | Headers, colors, borders, number formats, conditional formatting |
| Charts | Bar, line, pie charts embedded in sheets |
| Multiple Sheets | Organized workbooks with linked sheets |
| Data Validation | Dropdowns, input restrictions |
| Named Ranges | For cleaner formulas |
| Print Layout | Ready for printing/PDF |
| Format | Best For |
|---|---|
| XLSX | Editable in Excel, Google Sheets, Numbers |
| Interactive HTML | Web-based calculators and tools |
| Scenario | Recommended Mode |
|---|---|
| Budget templates, trackers, data tables, basic calculations | |
| Complex financial models with multi-scenario analysis, intricate formulas | |
Default to
for most spreadsheet requests. CellCog's agent mode handles formulas, formatting, charts, and data organization efficiently."agent"
Reserve
"agent team" for complex financial modeling requiring deep accuracy validation—like DCF models, multi-scenario projections, or interconnected workbooks where formula correctness is critical.
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."
Run
/cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate.
OpenClaw users: Run clawhub install cellcog instead.
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.No automatic installation available. Please visit the source repository for installation instructions.
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