kwp-sales-forecast

Generate weighted sales forecasts from CRM pipeline data and deal stages.

7|5|Updated May 7, 2026
One-click install
npx skills add https://github.com/14790897/MiQi --skill kwp-sales-forecast
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kwp-sales-forecast
Source: https://github.com/14790897/MiQi/tree/main/miqi/skills/kwp/sales/forecast
Command: npx skills add https://github.com/14790897/MiQi --skill kwp-sales-forecast

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the uncertainty and manual effort involved in calculating sales projections, helping you identify pipeline gaps and prioritize high-confidence deals.

Core Features & Use Cases

  • Weighted Forecasting: Automatically calculates projections based on stage-specific win probabilities.
  • Risk Analysis: Identifies at-risk deals through activity monitoring and close-date validation.
  • Use Case: Use this when preparing for a quarterly business review to quickly assess whether your current pipeline is sufficient to hit your quota and which specific deals require immediate attention.

Quick Start

Use the kwp-sales-forecast skill to generate a report based on the pipeline data in my attached csv file.

Frequently Asked Questions about kwp-sales-forecast

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

FAQPage Schema
How do I generate a weighted sales forecast from my CRM pipeline data?

To generate a weighted sales forecast, you need to provide structured pipeline data from CRM exports or manual deal lists. The system analyzes deal stages and historical win probabilities to calculate projected sales figures.

Can I use this for gap-to-quota analysis before a quarterly business review?

Yes, you can use this for gap-to-quota analysis to assess whether your current pipeline is sufficient to hit your quota. It identifies pipeline gaps and highlights specific deals that require immediate attention before a quarterly business review.

How does pipeline risk analysis identify at-risk deals?

Pipeline risk analysis identifies at-risk deals by monitoring deal activity and validating close dates. It evaluates these factors against stage-specific win probabilities to flag opportunities that may slip or fail to close.

What is the best way to break down commit versus upside in my sales projection?

The best way to break down commit versus upside is by analyzing pipeline data with stage-specific win probabilities. This approach categorizes deals into high-confidence commits and potential upside, clarifying your total sales projection.

Do I need a specific CRM platform to perform accurate sales projection modeling?

No, you do not need a specific CRM platform to perform accurate sales projection modeling. The system requires only structured input data, such as standard CSV exports or manual deal lists, to generate forecasts.

What are the limitations of using historical win probabilities for sales forecasting?

Using historical win probabilities for sales forecasting assumes past performance predicts future outcomes, which may not account for sudden market shifts. Accurate projections require structured input and consistent deal stage definitions from your pipeline.