Automate Spreadsheet Business Logic with Code
Code-first spreadsheet workbook runtime that lets an agent edit cells, recalculate formulas, and read verified results back, no Excel automation.
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Why it matters
Replace fragile spreadsheet UI automation with deterministic API calls for business logic. This skill provides a code-first workbook runtime for spreadsheet-style calculations, enabling reliable editing, recalculation, and persistence of business logic.
Outcomes
What it gets done
Model business logic using sheets and formulas in a code-first workbook.
Edit workbook cells and recalculate values programmatically via an API.
Persist workbook state as reviewable JSON documents.
Validate import data and perform quote calculations using deterministic tool calls.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-bilig-workpaper | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Bilig WorkPaper
Code-first workbook runtime for spreadsheet-style business logic - quote calculators, payout models, budget checks, import validation - that edits cells through an API, recalculates, reads computed values back as proof, and persists a reviewable WorkPaper JSON document, replacing fragile spreadsheet UI automation with deterministic tool calls. Use it when spreadsheet formulas need to run from a Node.js service, route, test, or agent tool with verified readback, or to investigate an XLSX formula recalculation bug without automating Excel, LibreOffice, or a browser grid. Not for manual editing, VBA/macros, pivots, charts, or exact desktop Excel behavior.
What it does
Bilig WorkPaper gives an agent a code-first workbook runtime for spreadsheet-style business logic: instead of automating a spreadsheet UI, it edits cells through an API, recalculates formulas, reads the computed values back as proof, and persists the result as a reviewable WorkPaper JSON document. Typical use cases are quote calculators, payout models, budget checks, import validation, and reducing XLSX formula bug reports.
When to use - and when NOT to
Use it when spreadsheet formulas need to run from a Node.js service, route, test, or agent tool; when workbook inputs need to be written and their calculated outputs verified with readback proof; when a formula workbook needs to persist as reviewable WorkPaper JSON; when a file-backed workbook needs to be exposed through MCP tools; or when investigating an XLSX formula recalculation issue without automating Excel, LibreOffice, or a browser grid. It is explicitly not for manual spreadsheet editing, VBA/macros, pivots, charts, COM automation, or relying on exact desktop Excel behavior - unless the task specifically asks to compare against Excel as an oracle.
Inputs and outputs
Two usage patterns are supported. Direct TypeScript: build a workbook from sheet data (WorkPaper.buildFromSheets), set a cell's contents, read a dependent cell's display value after recalculation, and export/serialize the result as WorkPaper JSON. MCP server: run bilig-workpaper-mcp against a .workpaper.json file (optionally --writable), exposing tools list_sheets, read_range, read_cell, set_cell_contents, get_cell_display_value, export_workpaper_document, and validate_formula. A good agent response must include the exact sheet names and A1 cells edited, before and after values for inputs and dependent outputs, persistence evidence from the exported/serialized document, restore/reimport proof when file boundaries matter, and any unsupported-formula limitations - never claiming success from the write call alone.
Integrations
Since the MCP examples execute the public @bilig/workpaper npm package as third-party code, the skill's safety guidance is explicit: prefer argument arrays over shell-concatenated commands, reject path/cell/formula input containing shell metacharacters (newlines, backticks, $(, ;, &, |, <, >), pin the reviewed package version, run only in a trusted project, and get explicit user approval before starting a writable MCP server. First prove the package works via bilig-mcp-challenge before running the writable server. Documentation covers the agent handbook, MCP server guide, an XLSX formula bug clinic, and a compatibility-limits page.
Who it's for
Developers and agents automating spreadsheet-style business calculations - pricing, payouts, budgets, import validation - who want deterministic, verifiable formula execution instead of fragile UI automation against Excel, LibreOffice, or a browser-based grid.
FAQ
Common questions
Discussion
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