An advanced AI coding agent skill that generates complex, formula-heavy spreadsheets and financial models using Python-powered automation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sheet-cog
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sheet-cog using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Sheet Cog?
Sheet Cog is a specialized skill within the Openclaw Skills ecosystem designed to function as a professional spreadsheet programmer rather than a simple template filler. It leverages the same engineering intelligence that builds AI platforms to construct intricate workbooks, complete with complex Python-driven data manipulation, pivot tables, and financial projections.
By utilizing this skill, developers and analysts can transform natural language prompts into fully functional Excel/XLSX files or interactive HTML calculators. It integrates seamlessly with existing workflows to provide engineering-grade accuracy for spreadsheets that require deep logic and interconnected data structures.
Sheet Cog Use Cases
- Generate professional SaaS financial models featuring revenue projections, churn rates, and LTV/CAC ratios.
- Build comprehensive personal or business budget templates with automated expense tracking and conditional formatting.
- Create data-heavy trackers for inventory management, sales pipelines, and project resource allocation.
- Develop automated business tools including invoice templates, employee directories, and OKR trackers.
- Perform sophisticated data analysis such as break-even points, loan amortization, and sensitivity tables.
How Sheet Cog Works
- The user provides a detailed prompt describing the required sheets, columns, and logic to the Openclaw Skills agent.
- The system initiates a chat session using the cellcog SDK, selecting the appropriate agent mode based on complexity.
- The agent processes the request using Python, calculating formulas and organizing data into a structured workbook format.
- Visual elements like bar, line, and pie charts are dynamically embedded based on the generated data.
- The final output is compiled into a downloadable XLSX file or an interactive web-based HTML tool.
Sheet Cog Setup
To get started with Sheet Cog, you must first install the cellcog dependency from the Openclaw Skills directory:
clawhub install cellcog
Once installed, you can trigger spreadsheet generation via the SDK using this pattern:
# Initialize the agent to build your spreadsheet
result = client.create_chat(
prompt="Create a 3-year SaaS financial model with MRR growth and churn charts",
notify_session_key="agent:main:main",
task_label="spreadsheet-task",
chat_mode="agent"
)
Sheet Cog Data Schema & Taxonomy
Sheet Cog structures its output to ensure compatibility with major spreadsheet software. The data organization follows this taxonomy:
| Component | Metadata/Description |
|---|---|
| File Formats | Supports XLSX for Excel/Google Sheets and Interactive HTML for web views. |
| Sheet Structure | Organizes data into logical tabs (e.g., Assumptions, Data, Dashboard). |
| Logic Layer | Implements standard formulas (VLOOKUP, IF, SUM) and Named Ranges. |
| Visual Layer | Includes embedded charts and conditional formatting rules. |
| Validation | Uses data validation for dropdowns and input restrictions. |
Sheet Cog Advanced Features
- Multi-agent validation using agent team mode for high-stakes financial modeling and DCF analysis.
- Dynamic scenario analysis allowing users to toggle growth rates and assumptions within the generated sheet.
- Full Python integration for performing advanced statistical analysis before data is written to cells.
- Automated dashboard generation that synthesizes raw data into printable summary reports.
- Inter-skill connectivity within the Openclaw Skills framework to pull data from other sources directly into sheets.
SKILL.md
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