forecast

Generate weighted, risk-adjusted sales forecasts from pipeline CSV data.

46|11|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill forecast-clawpod-app
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forecast
Source: https://github.com/clawpod-app/awesome-openclaw-agent-packs/tree/main/packs/sales/skills/forecast
Command: npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill forecast-clawpod-app

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating accurate, timely sales forecasts is labor-intensive and prone to inconsistencies, making quarterly planning and quota management difficult.

Core Features & Use Cases

  • Weighted forecast with best/likely/worst scenarios and a gap analysis to inform leadership decisions.
  • Commit vs. upside breakdown to prioritize deals and allocate resources.
  • Flexible data input: work from a pipeline CSV or describe deals when CRM access is unavailable.

Quick Start

Run /forecast [period] to generate a weighted forecast using your pipeline data.

Frequently Asked Questions about forecast

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

FAQPage Schema
How do I generate a risk-adjusted sales forecast from pipeline data?

Generate a risk-adjusted sales forecast by inputting your pipeline data via CSV export or pasted deal descriptions, along with a target quota and period. The system produces a weighted forecast highlighting commit versus upside scenarios.

Can I create a weighted forecast without direct CRM access?

Yes, you can create a weighted forecast without CRM access by manually pasting deal descriptions into the system. This allows you to perform quota reviews and scenario analysis even when automated pipeline connections are unavailable.

What is the best way to analyze commit versus upside for quarterly planning?

The best way to analyze commit versus upside for quarterly planning is using a weighted forecast tool that provides best, likely, and worst-case scenarios. This breakdown prioritizes deals and allocates resources via gap analysis.

Does sales forecasting support scenario analysis for quota reviews?

Sales forecasting supports scenario analysis for quota reviews by applying weighted probabilities to pipeline deals. It requires a defined quota and period to calculate risk-adjusted projections and identify potential coverage gaps.

How does gap analysis work for pipeline risk assessment?

Gap analysis for pipeline risk assessment works by comparing your weighted forecast against the required quota for the period. It identifies the shortfall between likely scenarios and targets, informing leadership resource allocation.