pipeline-health-analyzer

Analyze CRM pipeline data to flag stalled deals and forecast revenue risk.

245|39|Updated Oct 22, 2025
One-click install
npx skills add https://github.com/OneWave-AI/claude-skills --skill pipeline-health-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline-health-analyzer
Source: https://github.com/OneWave-AI/claude-skills/tree/main/pipeline-health-analyzer
Command: npx skills add https://github.com/OneWave-AI/claude-skills --skill pipeline-health-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides deep insights into sales pipeline health, identifying stalled deals, predicting close probabilities, and recommending specific actions to accelerate opportunities. It prevents revenue leakage and improves forecast accuracy.

Core Features & Use Cases

  • Stalled Deal Identification: Automatically flag deals that are not progressing through stages, with root cause analysis.
  • Close Probability Prediction: Use AI and historical data to forecast which deals are likely to close vs. stall.
  • Action Recommendations: Suggest specific next steps, re-engagement strategies, and escalation triggers for at-risk deals.
  • Use Case: A sales manager needs to understand why deals are getting stuck in the demo stage. This Skill analyzes pipeline data, identifies common patterns for stalled deals, and provides actionable coaching points for reps to move deals forward.

Quick Start

Example: Analyze pipeline health

"Analyze our Q2 sales pipeline. Identify all deals stalled in the 'Demo' stage for more than 30 days and suggest actions to move them forward."

Frequently Asked Questions about pipeline-health-analyzer

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

FAQPage Schema
How do I identify stalled deals in my sales pipeline?

Stalled deal identification analyzes your CRM pipeline to flag deals not progressing through stages, with root cause analysis showing why deals are stuck. The Skill detects deals exceeding stage velocity thresholds and surfaces patterns so you can take targeted action to re-engage stalled opportunities.

What data do I need to analyze pipeline health and forecast revenue risk?

Pipeline health analysis requires CRM sales data including deal age, stage progression, engagement metrics, stakeholder coverage, and qualification depth. The Skill processes this data to predict win probability, calculate risk-adjusted deal values, and generate executive summaries with concrete next-step actions.

Can this detect deals stuck in specific stages like Demo for extended periods?

Yes, the Skill flags deals stalled in any stage beyond defined velocity thresholds—for example, demos lingering over 30 days. It analyzes stage-specific patterns, identifies common blockers, and recommends coaching points and re-engagement strategies to accelerate deal movement.

How does deal velocity and conversion analysis improve forecast accuracy?

Deal velocity analysis measures progression speed across pipeline stages and applies historical win/loss patterns to predict close probabilities. This risk-adjusted forecasting reduces revenue leakage by surfacing at-risk deals early and enabling proactive escalation before deals stall or slip.

What actions does the Skill recommend for deals at risk of not closing?

The Skill generates deal-level risk flags and concrete next-step actions, including re-engagement strategies, stakeholder coverage gaps, and escalation triggers. Recommendations are grounded in engagement metrics, qualification depth, and predicted win probability to guide sales managers on specific coaching interventions.

Does this work with multi-stage CRM pipelines across all deal phases?

Yes, pipeline health analysis covers CRM-based sales pipelines across all stages, from early qualification through close. The Skill enables comprehensive stall detection, velocity tracking, win/loss pattern analysis, and action recommendations across your entire deal lifecycle.