# Forecasting

> Build a financial forecast (revenue, P&L, cash) from drivers and assumptions, with a clear method and ranges. Use when projecting performance for planning, valuation, or fundraising.

- **Type:** Skill
- **Install:** `agentstack add skill-m-binimran-finance-pack-forecasting`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [m-binimran](https://agentstack.voostack.com/s/m-binimran)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [m-binimran](https://github.com/m-binimran)
- **Source:** https://github.com/m-binimran/finance-pack/tree/main/skills/forecasting

## Install

```sh
agentstack add skill-m-binimran-finance-pack-forecasting
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# forecasting

A forecast is a driver tree plus assumptions. Make the drivers and the method explicit.

## Process
1. **Pick the method:** driver-based (units x price, funnel, cohorts) > naive growth %. Bottom-up where possible.
2. **Anchor to sourced historicals** and a base rate; don't extrapolate a recent spike blindly.
3. **Build the drivers:** revenue drivers, margin assumptions, cost structure (fixed vs. variable), working
   capital, capex. State each assumption and where it came from.
4. **Project** the P&L (and cash if needed) over the horizon; keep it consistent with the drivers.
5. **Ranges + scenarios:** base/bull/bear, and the 2-3 assumptions that matter most (`scenario-analysis`).
6. **Reality-check** against capacity, market size, and history - flag anything that implies the impossible.

## Output
- The forecast (driver assumptions + projected P&L), a base/bull/bear range, and the key swing assumptions -
  all **labeled as estimates**.

## Guardrails
- Projections labeled with assumptions (`projection-guard`); historicals sourced (`data-integrity`).
- Give ranges, not false precision; sanity-check against base rates (`methodology`).

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [m-binimran](https://github.com/m-binimran)
- **Source:** [m-binimran/finance-pack](https://github.com/m-binimran/finance-pack)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-m-binimran-finance-pack-forecasting
- Seller: https://agentstack.voostack.com/s/m-binimran
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.