What data format does the tool require?

The scripts accept standardized JSON input files. Detailed schemas for pipeline, forecast, and GTM data are provided within the skill documentation.

What metrics can I calculate with this skill?

You can calculate Pipeline Coverage, Sales Velocity, MAPE, Magic Number, LTV:CAC, CAC Payback, Rule of 40, and Net Dollar Retention (NDR).

Can I use this for executive board reporting?

Yes, the GTM Efficiency Calculator provides benchmarked metrics like Burn Multiple and Rule of 40 that are standard requirements for executive and investor reporting.

How does the pipeline analyzer identify sales risks?

It flags deals exceeding twice the average cycle time (aging) and warns users when more than 40% of the pipeline is concentrated in a single deal.

Revenue Operations (RevOps) Suite

Name: Revenue Operations (RevOps) Suite
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

Analytics & Monitoring

Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization.

The Revenue Operations skill provides a comprehensive suite of analytical tools designed for SaaS revenue teams to monitor and optimize their business performance. It enables deep pipeline analysis including coverage ratios and sales velocity, tracks forecasting accuracy using industry-standard MAPE metrics, and calculates critical go-to-market efficiency benchmarks such as LTV:CAC, CAC Payback, and the Rule of 40. This skill is essential for RevOps professionals and leadership teams looking to transform raw CRM and financial data into actionable strategic insights through standardized reporting and automated evaluation workflows.

Key Features

010 GitHub stars

02Calculates core SaaS GTM metrics like LTV:CAC, Magic Number, and Burn Multiple

03Industry benchmarking and ratings for efficiency and forecasting performance

04Comprehensive pipeline health analysis including coverage ratios and sales velocity

05Support for human-readable text reports and dashboard-ready JSON output

06Automated forecast accuracy tracking with MAPE and bias detection

Use Cases

01Performing weekly pipeline reviews to identify aging deals and coverage gaps

02Generating quarterly business review (QBR) data for leadership and board reporting

03Improving forecasting discipline by analyzing rep-level accuracy trends and bias

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 revenue-operations

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Calculates core SaaS GTM metrics like LTV:CAC, Magic Number, and Burn Multiple

03Industry benchmarking and ratings for efficiency and forecasting performance

04Comprehensive pipeline health analysis including coverage ratios and sales velocity

05Support for human-readable text reports and dashboard-ready JSON output

06Automated forecast accuracy tracking with MAPE and bias detection

Use Cases

01Performing weekly pipeline reviews to identify aging deals and coverage gaps

02Generating quarterly business review (QBR) data for leadership and board reporting

03Improving forecasting discipline by analyzing rep-level accuracy trends and bias