Solving Financial Planning

by gopigment6fec49f4ce9dNo license22 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 2 days ago

Planning skill. FP&A use cases: budget/expense planning, revenue forecasting, P&L reporting, multi-currency, financial consolidation. Each use case has inline guidance; load sub-files only for advanced patterns.

Instructions onlyBusiness & Finance
AI-generated overview

Guides FP&A planning models: budgets, revenue forecasts, P&L variance reporting, multi-currency and consolidation.

What it does
This skill provides inline guidance for building financial planning and analysis applications: budget and expense planning, revenue forecasting, P&L and variance reporting, multi-currency conversion, and financial consolidation. It describes dimensions, metric structures, forecasting approaches and reporting layouts for each use case, and points to optional sub-files for advanced patterns such as a full OPEX engine, an FX hub, or a P&L consolidation hub. It also states prerequisites such as an existing version dimension and configured calendar.
When to use it
Use it when designing or extending FP&A models such as annual budgets, departmental cost plans, revenue or ARR/MRR forecasts, actual-versus-budget P&L reporting, or multi-entity currency conversion. It is also relevant when adding forecasting methods to an existing driver-based OPEX engine.
Requirements
No scripts; instructions only. It assumes prerequisite capabilities in the host platform, namely a version dimension and a configured calendar, and references other skills for formula patterns, multi-application architecture, and formula writing.

Financial Planning & Analysis (FP&A)

Prerequisites: Version dimension exists (skill:building-versions-and-planning-cycles). Calendar configured (skill:setting-up-calendar).


Budget & Expense Planning

When: annual budget, departmental cost plans, cost center budgets, simple OPEX.

Dimensions: Version, Month, Department (or Cost Center), Account (Chart of Accounts). Add Entity if multi-entity.

Structure: one input metric for actuals (imported), one for budget/forecast (manual input or formula-driven). Calculated metrics for variances and totals. Keep formulas flat; separate actuals from plan in distinct metrics.

Forecasting approaches: prior year with growth rate, manual input filtered to plan months, or IF-based mix per Version. No SWITCH engine, no method dimension.

Reporting: combine actuals and forecast in a single metric using Is_Actual. Table block with one row per account category. Views: Month (columns) × Department or Account (rows).

For prior-year growth formulas, see skill:choosing-formula-patterns for the correct modifier pattern.

Extend to full OPEX engine when: users need 3+ forecasting methods selectable per line (e.g. PY values, moving average, % of revenue, $ per headcount). Load #1 Architecture + #2 Engine.


Revenue Planning

When: revenue forecast, sales pipeline, ARR/MRR, bookings, growth-based projections.

Dimensions: Version, Month, Product (or Segment), Customer (or Territory). Add Entity if multi-entity.

Structure: use a transaction list for deal-level or booking-level data; aggregate into planning metrics. Keep driver assumptions (growth rates, conversion rates, churn rates) in dedicated input metrics. Separate actuals from forecast metrics.

Forecasting approaches: growth-based (prior year × rate), ARR/MRR waterfall (new + expansion - churn + prior), pipeline conversion (value × rate by stage), or bookings spread over contract duration with PRORATA.

Reporting: combine actuals and forecast using Is_Actual. Views: Month (columns) × Product or Customer (rows). Use calculated items for variance (Forecast vs Budget, YoY).

No dedicated advanced pattern exists yet. For complex multi-stage pipeline with probability weighting or territory-based capacity planning, build from these principles and skill:writing-pigment-formulas.


P&L & Variance Reporting

When: actual vs budget comparison, P&L statement, variance analysis from a single data source.

Dimensions: Version, Month, Account (with Category parent hierarchy), Department. Add Entity and Data Type if needed.

Structure: actuals metric (imported from GL or transaction list), budget metric (input), forecast metric (formula or input). Variance = Budget - Actual. Use Account.Category property to group into P&L lines (Revenue, COGS, OPEX). Use Operator property on Category (1 for revenue, -1 for expenses) to normalize signs.

Reporting: Table block with P&L line metrics as rows. Use calculated items for variance columns (Budget vs Actual, % variance). Views: Month (columns), filter by Version.

Mandatory: even for single-source P&L, create a DATA_* staging metric between raw input and the reporting output, and a *_Check reconciliation metric that verifies the staging total equals the sum of statement lines.

Extend to Nexus when: the P&L must consolidate data from multiple upstream apps (Revenue, OPEX, Workforce) and/or ERP, or when the request asks for a P&L reporting hub, nexus, or statement pipeline, even single-source. Load #4 Nexus. The Nexus sub-file covers P&L only; BS/CF can be adapted from the same pattern.


Multi-Currency

When: multiple entities with different functional currencies need conversion to a group reporting currency.

Simple approach: for a single app needing basic FX, create a local rate input metric and multiply amounts. No Hub engine required.

Extend to FX Hub when: the workspace has multiple apps sharing the same FX rates and entity-currency mappings. Load #3 FX Hub. Requires a Hub app (see skill:architecting-multi-application-solutions).


Extending an Existing OPEX Engine

When: adding or changing forecasting methods in an app that already has the driver-based engine structure (SWITCH on method ID, INP_Forecasting_Method, CALC_* per method).

Load #2 Engine only. Do not load #1.

Source and attribution

Source:gopigment/ai-pluginsinskills/solving-financial-planningat commit6fec49f

License: No license

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