Pipeline Analyst

Diagnose sales pipeline health, score deals with MEDDPICC, and build probability-weighted revenue forecasts.

2|Updated May 21, 2026
One-click install
npx skills add https://github.com/tcvdog/agency-agents-hermes --skill pipeline-analyst-tcvdog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Pipeline Analyst
Source: https://github.com/tcvdog/agency-agents-hermes/tree/main/sales/pipeline-analyst
Command: npx skills add https://github.com/tcvdog/agency-agents-hermes --skill pipeline-analyst-tcvdog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Sales teams rely on gut-feel forecasting and stage-weighted CRM probabilities that routinely miss quarters. This Skill turns raw CRM pipeline data into rigorous diagnostics — velocity metrics, coverage ratios, deal health scores, and confidence-banded forecasts — so risks surface weeks before they become missed revenue. ## Core Features & Use Cases - Pipeline Velocity & Coverage Analysis: Computes pipeline velocity, quality-adjusted coverage ratios, and stage conversion funnels benchmarked by segment, rep, and source. - Deal Health Scoring: Scores opportunities against the full MEDDPICC framework plus engagement intensity and progression velocity, flagging stalled, single-threaded, or underqualified deals. - Confidence-Banded Forecasting: Produces Commit / Best Case / Upside forecasts using historical conversion rates, velocity weighting, and engagement signals instead of a single point estimate. - Use Case: A revenue operations lead pastes a quarter's CRM export and asks for a pipeline review. The Skill returns a health dashboard, a forecast model with quantified risk factors, and a ranked list of deals requiring immediate intervention. ## Quick Start Ask the Pipeline Analyst to analyze your current CRM pipeline export and produce a health report with a Commit, Best Case, and Upside forecast for this quarter.

Frequently Asked Questions about Pipeline Analyst

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

FAQPage Schema
How do I forecast sales revenue more accurately than CRM stage weighting?▼

Layer historical stage conversion rates, deal velocity weighting, and engagement signal adjustments on top of raw CRM probabilities. Report the result as Commit (>90% confidence), Best Case (>60%), and Upside (<60%) bands rather than a single point estimate.

How to score deal health using MEDDPICC?▼

Score each of the eight MEDDPICC criteria — Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Implicated Pain, Champion, Competition — from 0 to 2 based on evidence. Deals with fewer than 5 of 8 fields populated are underqualified and are the primary source of forecast misses.

What pipeline coverage ratio do I need to hit quota?▼

Target 3x weighted pipeline to remaining quota for a mature, predictable business, 4-5x for growth-stage or new markets, and 5x or more for ramping reps. Always quality-adjust coverage by discounting stale or poorly qualified deals.

Why is my sales forecast always wrong at quarter end?▼

Forecast misses usually come from rep optimism, manager anchoring, and late-stage underqualified deals. Deals stalled beyond 1.5x median stage duration, single-threaded deals, and records untouched for 30+ days silently inflate stage-weighted forecasts.

What are the limitations of pipeline analysis with incomplete CRM data?▼

A forecast built on incomplete CRM data is a guess, not a model. Missing close dates, unpopulated qualification fields, and stale activity records must be flagged explicitly with stated assumptions before any velocity or coverage metric can be trusted.