pipeline-analyst

Analyze CRM pipeline data to forecast revenue and score deal health.

2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/elihuvillaraus/skills --skill pipeline-analyst-elihuvillaraus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline-analyst
Source: https://github.com/elihuvillaraus/skills/tree/main/pipeline-analyst
Command: npx skills add https://github.com/elihuvillaraus/skills --skill pipeline-analyst-elihuvillaraus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms raw CRM data into actionable pipeline intelligence, identifying risks and improving forecast accuracy to prevent missed revenue targets.

Core Features & Use Cases

  • Pipeline Velocity Analysis: Measures how quickly revenue moves through the funnel, diagnosing issues with opportunity volume, deal size, win rates, and sales cycle length.
  • Forecast Accuracy: Moves beyond simple stage-weighted forecasts to provide a probability-weighted forecast with confidence intervals, incorporating deal health, engagement, and historical patterns.
  • Deal Health Scoring: Assesses individual deals based on qualification depth (MEDDPICC), engagement intensity, and progression velocity to identify at-risk opportunities.
  • Use Case: A sales leader can use this Skill to get an immediate, data-driven assessment of their team's pipeline health, identify the top 3 deals needing intervention, and receive a more reliable revenue forecast for the quarter.

Quick Start

Analyze the current pipeline data and provide a revenue forecast for the upcoming quarter.

Frequently Asked Questions about pipeline-analyst

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

FAQPage Schema
How do I analyze CRM data to forecast revenue and diagnose pipeline health?

Pipeline velocity analysis measures how quickly revenue moves through the funnel by examining opportunity volume, deal size, win rates, and sales cycle length. This pinpoints specific bottlenecks restricting your pipeline flow and revenue progression.

How do I score deal health using MEDDPICC qualification data?

Improve forecast accuracy by moving beyond stage-weighted forecasts to use a probability-weighted forecast incorporating deal health, engagement intensity, and historical patterns. This provides confidence intervals for a more reliable quarterly revenue projection.

Why does my stage-weighted revenue forecast keep missing targets?

Stage-weighted revenue forecasts miss targets because they ignore deal health and engagement intensity. By applying probability-weighted forecasts with confidence intervals and MEDDPICC scoring, you surface at-risk opportunities early to prevent missed revenue.

Can I use this pipeline analysis approach for sales coaching opportunities?

Yes, pipeline analysis supports sales coaching by surfacing data-driven insights from deal health scoring and pipeline velocity. It identifies specific opportunities where reps need intervention based on qualification depth and progression metrics.