forecast

Name: forecast
Availability: InStock
Author: Anthropic

Generate weighted sales forecasts with best, likely, and worst-case scenarios.

23.4k|2.8k|Updated Jan 23, 2026

Search Tags:#forecasting #risk analysis #sales performance #pipeline analysis #sales forecast #quota attainment

Ready to run

npx skills add https://github.com/anthropics/knowledge-work-plugins --skill forecast-anthropics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: forecast
Source: https://github.com/anthropics/knowledge-work-plugins/tree/main/sales/skills/forecast
Command: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill forecast-anthropics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the generation of weighted sales forecasts, providing clear scenarios, commit vs. upside breakdowns, and actionable gap analysis to improve sales predictability and decision-making.

Core Features & Use Cases

Weighted Forecasting: Generates best/likely/worst-case scenarios based on deal stage probabilities.
Commit vs. Upside Analysis: Differentiates between deals that are highly probable and those with potential.
Gap Analysis & Recommendations: Identifies shortfalls against quota and suggests actions to close the gap.
Use Case: When preparing for a quarterly forecast call, use this Skill with your pipeline data to present a data-driven forecast, understand risks, and strategize on how to meet your targets.

Quick Start

Use the forecast skill to generate a sales forecast for Q1.

Frequently Asked Questions about forecast

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

FAQPage Schema

How do I generate a weighted sales forecast from pipeline data?▼

To generate a weighted sales forecast, input your pipeline data including deal name, amount, stage, and close date. The system calculates best, likely, and worst-case scenarios by applying probability weights to your current pipeline opportunities.

What is commit vs. upside analysis in a sales forecast?▼

Commit vs. upside analysis in a sales forecast separates highly probable deals from those with potential upside. It categorizes pipeline opportunities into commit deals that are expected to close and upside deals that could potentially close but carry higher risk.

How do I calculate gap-to-quota for a quarterly forecast call?▼

To calculate gap-to-quota, provide your pipeline data and quota targets. The forecast generates a gap analysis that identifies shortfalls against your quota and suggests actionable recommendations to close the revenue gap before the quarter ends.

Can I use pipeline data to assess sales performance and risk analysis for my team?▼

Yes, you can use pipeline data to assess sales performance and conduct risk analysis. The forecast evaluates deal stage probabilities to highlight pipeline risks, differentiate commit deals from upside, and determine if your team is on track for quota attainment.

What pipeline data format do I need to prepare a best, likely, and worst-case sales forecast?▼

You need pipeline data containing deal name, amount, stage, and close date, alongside your quota targets. This information is required to generate weighted sales forecast scenarios and perform a commit versus upside breakdown for your quarterly review.

Are weighted sales forecasts accurate for predicting quota attainment?▼

Weighted sales forecasts improve quota attainment predictability by applying probabilities to deal stages. While they provide structured best, likely, and worst-case scenarios, accuracy depends on maintaining clean pipeline data and realistic deal stage probabilities.