revenue-operations

Name: revenue-operations
Availability: InStock
Author: jmigrala

Analyze SaaS RevOps data to compute pipeline and forecast metrics.

Updated Oct 30, 2025

Search Tags:#forecasting #ltv-cac #revops #mape #pipeline-analysis #gtm-efficiency #ndr

Ready to run

npx skills add https://github.com/jmigrala/priceyourfence --skill revenue-operations-jmigrala

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: revenue-operations
Source: https://github.com/jmigrala/priceyourfence/tree/main/.agents/skills/revenue-operations
Command: npx skills add https://github.com/jmigrala/priceyourfence --skill revenue-operations-jmigrala

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

SaaS RevOps teams need a consolidated view of pipeline health, forecast accuracy, and GTM efficiency to drive repeatable improvement and data-driven decisions.

Core Features & Use Cases

Pipeline analysis: evaluate coverage, stage conversions, velocity, aging risks, and concentration risk.
Forecast accuracy: track MAPE, detect bias, assess trends, and provide category-level insights.
GTM benchmarking: compute Magic Number, LTV:CAC, CAC payback, Burn Multiple, Rule of 40, and NDR to guide investment and optimization.
Use Case: weekly pipeline reviews, monthly forecast reviews, and quarterly GTM audits across segments.

Quick Start

Run the Pipeline Analyzer on assets/sample_pipeline_data.json to generate a RevOps health report.

Frequently Asked Questions about revenue-operations

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

FAQPage Schema

How do I analyze SaaS pipeline health and track stage conversions?▼

To analyze SaaS pipeline health, you evaluate pipeline coverage, stage conversions, velocity, aging risks, and concentration risk. This skill processes your pipeline data to generate a comprehensive RevOps health report for weekly pipeline reviews.

What is MAPE and how do you track forecast accuracy and bias for SaaS metrics?▼

MAPE tracks forecast accuracy by calculating prediction errors against actuals. This skill computes MAPE, detects forecasting bias, assesses trends, and provides category-level insights to improve SaaS revenue predictions.

How do I calculate GTM efficiency metrics like LTV:CAC and Rule of 40?▼

Calculating GTM efficiency metrics like LTV:CAC and Rule of 40 requires analyzing SaaS financial data. This skill benchmarks GTM efficiency by computing Magic Number, CAC payback, Burn Multiple, Rule of 40, and Net Dollar Retention to guide investment.

Can I use this skill for quarterly GTM audits across different business segments?▼

Yes, you can use this skill for quarterly GTM audits across segments. It is designed for weekly pipeline reviews, monthly forecast reviews, and quarterly GTM audits to drive repeatable improvement and data-driven SaaS decisions.

What is the best way to generate a RevOps health report from sample pipeline data?▼

The best way to generate a RevOps health report is to run the pipeline analyzer on your sample pipeline data. This skill processes JSON pipeline data to compute coverage, conversions, and velocity metrics, outputting a complete health report.