deal-momentum-analyzer

Score deal velocity from email response times and meeting frequency to predict closure probability.

Updated Aug 27, 2026

Search Tags:#sales #crm #forecasting #pipeline management #deal analysis #engagement scoring

Ready to run

npx skills add https://github.com/gked2121/claude-skills --skill deal-momentum-analyzer-gked2121

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deal-momentum-analyzer
Source: https://github.com/gked2121/claude-skills/tree/main/deal-momentum-analyzer
Command: npx skills add https://github.com/gked2121/claude-skills --skill deal-momentum-analyzer-gked2121

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps sales teams identify deals that are likely to close by analyzing engagement metrics, and predicts which deals might stall, allowing for proactive intervention.

Core Features & Use Cases

Deal Velocity Scoring: Quantifies the speed and engagement of a deal's progression.
Close Probability Prediction: Forecasts the likelihood of a deal being won based on historical data and current engagement.
Stakeholder Engagement Analysis: Tracks interaction frequency and depth across all involved parties.
Use Case: A sales manager can use this skill to get a weekly report on their team's pipeline, highlighting deals that need extra attention to prevent them from going cold.

Quick Start

Analyze the engagement data for the 'Project Alpha' deal to predict its closing probability.

Frequently Asked Questions about deal-momentum-analyzer

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

FAQPage Schema

How do I predict deal close probability using CRM data and engagement metrics?▼

Deal close probability is predicted by analyzing email response times, meeting frequency, and stakeholder engagement from communication logs and CRM data to identify patterns indicating closure likelihood.

What is deal velocity scoring and how does it help sales pipeline management?▼

Deal velocity scoring quantifies the speed and engagement progression of deals in a sales pipeline. It helps sales teams identify deals likely to close and flag opportunities needing intervention to prevent stalling.

Can I use stakeholder engagement analysis to identify deals that might stall?▼

Yes, stakeholder engagement analysis tracks interaction frequency and depth across all involved parties. Identifying drops in engagement allows sales teams to proactively intervene before deals go cold.

What data do I need to generate a sales forecasting report for deals needing attention?▼

You need CRM data and communication logs to generate sales forecasting reports. This data is analyzed to evaluate engagement patterns and highlight pipeline deals requiring extra attention to prevent loss.

Does pipeline forecasting work for identifying deals that are going cold?▼

Pipeline forecasting identifies deals going cold by applying engagement scoring to communication data. Drops in email response times and meeting frequency signal deals requiring immediate proactive intervention.