skills.rest
kmshihab7878
kmshihab7878COMMUNITY
Explore all skills by this author →
GitHub

revenue-operations

Analyze sales pipeline health and forecast accuracy from CRM JSON inputs.

6|1|Updated Apr 7, 2026
Search Tags:#forecasting#revops#saas-metrics#sales-pipeline#mape#pipeline-analysis#gtm-efficiency
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill revenue-operations-kmshihab7878
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: revenue-operations
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/revenue-operations
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill revenue-operations-kmshihab7878

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides RevOps teams with automated analysis of sales pipeline health, forecast accuracy, and go-to-market efficiency so teams can identify coverage gaps, forecast bias, and efficiency opportunities without manual spreadsheet work.

Core Features & Use Cases

  • Pipeline Analysis: Computes pipeline coverage ratios, stage conversion rates, deal velocity, aging flags, concentration risk, and coverage gap identification for forward planning.
  • Forecast Accuracy Tracking: Calculates MAPE, detects systematic bias, produces weighted accuracy by deal value, and surfaces trends and per-category error breakdowns for monthly and quarterly reviews.
  • GTM Efficiency Calculation: Produces Magic Number, LTV:CAC, CAC payback, Burn Multiple, Rule of 40, and NDR with benchmarking and improvement suggestions for board prep and strategic planning.
  • Use Case: Run a weekly pipeline review to find aging deals and concentration risk, a monthly forecast accuracy audit to coach reps with high bias, and a quarterly GTM audit for executive reporting.

Quick Start

Run the pipeline analyzer on your current CRM export to evaluate coverage, aging deals, and concentration risk.

Frequently Asked Questions about revenue-operations

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

FAQPage Schema
How do I calculate MAPE and forecast bias for my SaaS sales pipeline?▼

To calculate MAPE and forecast bias for your SaaS sales pipeline, you can input your CRM and forecast JSON data to automatically detect systematic bias, compute weighted accuracy by deal value, and surface per-category error breakdowns.

What is the best way to audit GTM efficiency using SaaS metrics?▼

The best way to audit GTM efficiency using SaaS metrics is to compute Magic Number, LTV:CAC, CAC payback, Burn Multiple, Rule of 40, and NDR against industry benchmarks to identify strategic improvement opportunities.

Can I analyze pipeline coverage ratios and concentration risk from a CRM export?▼

Yes, you can analyze pipeline coverage ratios and concentration risk from a CRM export by processing the JSON inputs to evaluate stage conversion rates, deal velocity, and aging flags for forward planning.

How do I evaluate pipeline health for weekly RevOps reviews?▼

To evaluate pipeline health for weekly RevOps reviews, analyze coverage gaps, aging deals, and concentration risk from your current CRM export to identify forward planning obstacles without manual spreadsheet work.

What SaaS metrics do I need to track for quarterly GTM reporting?▼

For quarterly GTM reporting, you need to track SaaS metrics including Magic Number, LTV:CAC, CAC payback, Burn Multiple, Rule of 40, and NDR to produce benchmarking recommendations and executive summaries.

Does this pipeline analysis tool work with raw JSON inputs or require specific formats?▼

This pipeline analysis tool accepts CRM and forecast JSON inputs directly, computing coverage ratios and stage conversion rates while producing human-readable text or structured JSON outputs.

Related Skills

Explore More Marketing & Sales Skills→
ekatasingh1107ekatasingh1107
2

revenue-forecaster

Forecast revenue from pipeline data using stage-weighted probabilities and expected close dates.

Community
Advanced
Tonybleything76Tonybleything76

revenue-operations

Analyze SaaS sales pipeline health and GTM efficiency metrics.

Community
Advanced
oalpaylioalpayli

revops

Guide revenue operations for lead lifecycle, scoring, routing, and CRM automation.

Community
Advanced
UnlimitedxIQUnlimitedxIQ

revenue-operations

Analyze SaaS revenue operations data to evaluate pipeline health, forecast accuracy, and GTM efficiency.

Community
Advanced