claudecodex

bridge-town

Build, run, review, and share version-controlled Python financial models in Bridge Town.

0 on GitHubby Bridge Townv1.1.0MITupdated 1 month agoproductivity
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Plugin bridge-town from marketplace bridge-town in Bridge-Town/claude-plugins. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (20)

  • collaborate-on-project

    Set up and manage multi-analyst collaboration on a Bridge Town project. Use this skill when a user wants to share a project with teammates, run a pull-request review workflow, or create/clone internal templates. For solo what-if / sensitivity / compare-assumptions work that does not need PR review c

  • commit-files

    Atomically commit multiple file creates, updates, and deletes in one git commit. Use this skill when you need to land related changes (model, entrypoint, docs, fixtures) together so the repo is never in a half-updated state.

  • connect-google-sheets

    Connect a Google Sheet to a Bridge Town project and import data for modelling. Use this skill when your source data lives in Google Sheets and you want to pull it into a Bridge Town project for version-controlled analysis.

  • convert-excel-workbook

    Convert an existing Excel financial model into a reviewable Bridge Town Python project — profile, generate, review findings, apply, run, and dashboard. Use when a user wants to migrate a spreadsheet model rather than ingest spreadsheet data.

  • create-cash-flow-model

    Build a cash flow model covering operating, investing, and financing activities. Use this skill to translate P&L and balance-sheet assumptions into a direct or indirect cash flow statement showing runway and burn.

  • create-dashboard

    Create a visual dashboard from a Bridge Town model run output. Use this skill when the user wants a chart or table view of their model results. Covers chart type discovery, model output structure, and the full create → share flow.

  • create-expense-model

    Build an operating expense (OPEX) model with departmental budgets in Python. Use this skill to forecast non-headcount spend across categories such as marketing, software, and facilities, and produce a three-statement-ready OpEx schedule.

  • create-headcount-model

    Build a headcount plan with loaded costs, hiring schedules, and attrition. Use this skill when you need to model team growth over time and see total personnel costs by department and year.

  • create-marketplace-gmv-model

    Forecast GMV, take rate revenue, and supply/demand dynamics for a marketplace. Use this skill to project transaction volume across buyer and seller cohorts and translate GMV to net revenue via a configurable take rate.

  • create-revenue-model

    Build a bottom-up or top-down revenue forecasting model in Python. Use this skill when you need a structured ARR forecast with per-product-line growth rates, churn, and multi-year outputs.

  • create-unit-economics-model

    Model CAC, LTV, payback period, and expansion revenue for a SaaS business. Use this skill when you need to evaluate the health and efficiency of your go-to-market motion at the cohort level.

  • create-usage-based-pricing-model

    Forecast revenue for usage-based or consumption pricing models (API calls, seats, compute). Use this skill when a product charges by consumption rather than flat subscription, and you need to tie usage growth curves to revenue.

  • discover-and-query-data

    Discover data sources attached to a project and query them with SQL. Use this skill when the user wants to explore or analyse project data without knowing what tables or columns are available.

  • gsheet-finance-styles

    Use this skill whenever a Bridge Town agent has published values to a Google Sheet and the user wants finance-grade visual formatting. Bridge Town no longer applies cell formatting programmatically — use `get_google_spreadsheet_metadata` with `include_format_presets=true` to discover the style vocab

  • gsheet-formatting

    Use this skill whenever a Bridge Town agent is about to publish model output to Google Sheets, or whenever a user asks to push, send, export, publish, sync, or write model results to a spreadsheet. Shape the model output for the bounded preview-and-confirm publish flow before any write.

  • native-sheets

    Use this skill whenever an agent is deciding whether to create a native Bridge Town sheet vs. a Google Sheet, is about to hand-author or patch a `.btsheet.json` file, is calling any of create_native_sheet, get_native_sheet, write_native_sheet_cells, format_native_sheet, recalculate_native_sheet, or

  • run-scenario-analysis

    Run what-if / sensitivity / compare-assumptions analysis on an existing Bridge Town project using a branch-based workflow. Create a branch, edit assumptions there, run and compare against the base case, then merge, keep, or discard. Use this when the user wants to explore how changing assumptions af

  • scenario-analysis

    Build a *new* scenario/sensitivity model from scratch in Python — defines BASE_ASSUMPTIONS, SCENARIOS, and SENSITIVITY_DRIVERS for a project that does not yet have a what-if model. Use this when the user needs model code authored. For running what-if analysis on an *existing* model via branches, use

  • scenario-sheets

    Use this skill when a user wants to explore what-if changes to a native sheet's input assumptions -- branch, edit cells, run the model, compare against the base case, then merge/keep/discard -- without overwriting main. Trigger on requests like \"what if the growth rate were 8% instead of 5%\", \"tr

  • working-with-bridge-town

    Operating guide for the Bridge Town MCP tools. Use at the start of any Bridge Town task: building, editing, or running a financial model, reading run outputs or native sheets, working with branches and pull requests, or publishing dashboards and Google Sheets. Covers tool discovery, the sandbox cont

Slash commands (1)

  • /bridge-town:status

    Check the Bridge Town connection and summarize recent model activity

Subagents (1)

  • model-reviewer

    Reviews a Bridge Town model change (a branch or pull request) before it is merged. Use when the user asks to review, check, or sanity-test a model branch, scenario, or pull request. Runs both sides and reports findings; never merges or edits.

MCP servers (1)

  • bridge-town

    connects to: https://api.bridgetown.builders/mcp

Hooks (1)

  • PreToolUse

    printf '%s\n' '{"hookSpecificOutput":{"hookEventName":"PreToolUse","permissionDecision":"ask","permissionDecisionReason":"Bridge Town: this action cannot be undone, or it publishes, shares, or changes

View source on GitHub bridgetown.builders

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