sales-forecast-builder

Generate weighted pipeline forecasts with commit, best-case, and upside scenarios.

245|39|Updated Oct 22, 2025
One-click install
npx skills add https://github.com/OneWave-AI/claude-skills --skill sales-forecast-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sales-forecast-builder
Source: https://github.com/OneWave-AI/claude-skills/tree/main/sales-forecast-builder
Command: npx skills add https://github.com/OneWave-AI/claude-skills --skill sales-forecast-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of accurate sales forecasts with multiple scenarios, helping sales leaders predict revenue, track historical accuracy, and identify potential deal slippage. It provides a clear picture of future revenue.

Core Features & Use Cases

  • Weighted Pipeline Forecast: Calculate forecast based on deal probability, stage, and historical close rates.
  • Scenario Planning: Generate commit, best-case, and worst-case revenue projections for strategic planning.
  • Historical Accuracy Tracking: Monitor forecast accuracy over time to refine predictions and improve reliability.
  • Use Case: A sales VP needs to present the quarterly forecast to the executive team. This Skill generates a detailed forecast, including weighted pipeline, best-case/worst-case scenarios, and identifies deals at risk of slipping, providing a confident projection.

Quick Start

Example: Build a sales forecast

"Build a sales forecast for Q3. Our current pipeline is $5M, with 30 deals. Provide commit, best-case, and worst-case scenarios based on historical close rates."

Frequently Asked Questions about sales-forecast-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a sales forecast from CRM pipeline data?

Sales forecasting uses deal probability, stage, and historical close rates to generate weighted pipeline projections. This Skill calculates commit, best-case, and worst-case scenarios from your CRM data, delivering structured forecasts with actionable deal-risk analysis and historical accuracy tracking for confident revenue predictions.

What's the difference between commit and best-case revenue scenarios?

Commit forecasts represent conservative revenue based on deal probability and close rates; best-case projects upside potential assuming higher close rates or earlier closes. This Skill generates both scenarios alongside worst-case projections, helping sales leaders present multiple outcomes to executives and plan around deal slippage risk.

Can I track forecast accuracy over time to improve predictions?

Yes. Historical accuracy tracking compares actual closed revenue against prior forecasts, identifying patterns in deal slippage and close-rate assumptions. This Skill monitors accuracy trends to refine your forecasting model and improve reliability for future quarters.

How do I identify deals at risk of slipping in my pipeline?

Deal slippage analysis examines stage progression, probability decay, and historical patterns to flag opportunities likely to miss close dates. This Skill surfaces at-risk deals in its forecast output, enabling proactive intervention and more accurate commit projections.

Does this work with existing CRM systems and sales operations workflows?

This Skill is designed for sales operations teams using CRM data to produce reproducible forecasts. It accepts pipeline data, generates template-ready Markdown deliverables with timestamps, and integrates with quarterly planning and executive reporting workflows without custom setup.

What input data do I need to generate an accurate weighted pipeline forecast?

Provide deal data including pipeline value, deal count, probability by stage, and historical close rates. This Skill uses weighted pipeline calculations to produce accurate multi-scenario forecasts; more granular stage and probability data improves forecast precision.