Revenue Operations
Revenue Operations analyzes sales pipeline health, forecast accuracy, and go-to-market efficiency for SaaS teams. It provides scripts to calculate key metrics like pipeline coverage, MAPE, and LTV:CAC, and outputs reports in text or JSON format.
✨ What it does
- Pipeline analyzer calculates coverage ratio, stage conversion, sales velocity, deal aging, and concentration risk.
- Forecast accuracy tracker computes MAPE, bias, weighted accuracy, and category breakdowns.
- GTM efficiency calculator computes Magic Number, LTV:CAC, CAC Payback, Burn Multiple, Rule of 40, and NDR.
- All scripts support text and JSON output formats.
- Includes templates for documenting pipeline reviews, forecast reports, and GTM dashboards.
🎯 When to use it
- When you need to assess sales pipeline coverage, conversion rates, or deal aging risks.
- When you want to track forecast accuracy over time and identify bias or trends.
- When evaluating go-to-market efficiency metrics like Magic Number, LTV:CAC, or Rule of 40.
- During weekly pipeline reviews, monthly forecast accuracy reviews, or quarterly GTM audits.
🚀 How to use
Trigger by asking to analyze pipeline, forecast accuracy, or GTM efficiency. Provide a JSON file with the required data (deals, forecast periods, or revenue/cost/customer metrics). Run the corresponding Python script with --input and --format flags. Example prompts:
Analyze my sales pipeline health using pipeline.json
Track forecast accuracy for the last four quarters using forecast_data.json
Calculate GTM efficiency metrics from gtm_data.json
📄 Output: Reports with key metrics, ratings, and recommendations, printed to console or as JSON.
📦 Add this skill to Claude Code
# 1. Get the skills repo
git clone --depth 1 https://github.com/alirezarezvani/claude-skills /tmp/claude-skills
# 2. Copy this skill into your project (or ~/.claude/skills for all projects)
mkdir -p .claude/skills
cp -r /tmp/claude-skills/business-growth/skills/revenue-operations .claude/skills/revenue-operationsSkill source: business-growth/skills/revenue-operations/SKILL.md
⚠️ Good to know
Requires Python environment and input data in the specified JSON schema; scripts do not connect directly to CRM or finance systems.
❓ FAQ
What is a healthy pipeline coverage ratio?
A healthy pipeline coverage ratio is 3-4x the quota target.
How is forecast accuracy measured?
Forecast accuracy is measured using MAPE (Mean Absolute Percentage Error), with ratings from Excellent (<10%) to Poor (>25%).
What does the GTM efficiency calculator output?
It outputs metrics like Magic Number, LTV:CAC, CAC Payback, Burn Multiple, Rule of 40, and Net Dollar Retention, each with a target benchmark.
🤖 Overview, features, install steps and FAQ were generated from the project's SKILL.md on Sep 4, 2026. Always check the original source before running commands.