R
revenue-forecast-capacity-review
About revenue-forecast-capacity-review
A skill for reviewing revenue forecasts alongside funnel assumptions, retention, margins, and capacity limits. It helps teams build scenario-based forecasts and connect them to operating decisions.
Key features
- 01Classifies forecast types
- 02Reviews assumptions and source data
- 03Tracks retention, conversion, and margin
- 04Accounts for operational capacity
- 05Creates scenarios and review artifacts
Use cases
- 01Assessing revenue plans against capacity
- 02Modeling downside and base scenarios
- 03Planning infrastructure or support needs
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sylphxai/ skills --skill revenue-forecast-capacity-reviewAfter installing, type/revenue-forecast-capacity-reviewin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlreferences/revenue-forecast-capacity-patterns.md
Details
From the project READMERevenue Forecast Capacity Review
Use this skill to convert a revenue forecasts, capacity planning, funnel assumptions, retention, gross margin, support/infra constraints, and scenarios question into a concrete artifact with owners, gates, metrics, and recovery paths.
Workflow
- Identify revenue model, forecast horizon, segments, funnel stages, capacity constraints, cost drivers, owner, and decisions the forecast will change.
- Read
references/revenue-forecast-capacity-patterns.md. - Classify forecast: bookings, revenue, usage, marketplace GMV, ad revenue, game monetization, support demand, infra load, or supply capacity.
- Define assumptions, source data, leading indicators, cohort retention, conversion, churn, expansion, margin, capacity limits, scenarios, and review cadence.
- Produce forecast model review, state machine, decision table, event schema, scenario checklist, and governance loop.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.
Guardrails
- Do not present a single optimistic forecast without base/downside scenarios and capacity constraints.
- Do not forecast revenue without churn, expansion, refunds, discounts, payment/platform fees, and gross margin.
- Do not ignore support, infrastructure, inventory, creator supply, or sales capacity when launch demand grows.
- Do not let stale pipeline or vanity signups drive hiring, infra spend, or investor narrative.
Output format
Forecast context:
Model / horizon / segment / capacity constraint:
Forecast and capacity plan:
| Area | Decision | Evidence | Risk | Owner |
| --- | --- | --- | --- | --- |
Assumptions and indicators:
- <item> -> <policy, metric, edge case, support note>
Scenario and governance loop:
- <trigger> -> <action, communication, owner>
Comments
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