saas-analyzer

Compute SaaS metrics from raw revenue and customer data.

12|2|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/haomingz/kimi-skills --skill saas-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: saas-analyzer
Source: https://github.com/haomingz/kimi-skills/tree/main/skills/saas-analyzer
Command: npx skills add https://github.com/haomingz/kimi-skills --skill saas-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SaaS metrics are often scattered across systems, making it hard to compute ARR, MRR, churn, CAC, LTV, and NRR from raw inputs. This Skill centralizes data ingestion, calculations, and benchmarking to deliver clear health insights.

Core Features & Use Cases

  • Ingests raw revenue and customer data to compute ARR, MRR, churn, CAC, LTV, and NRR.
  • Benchmarks performance against industry standards for various SaaS stages and segments.
  • Generates a structured health report with prioritized actions for leadership and operations.

Quick Start

Provide your raw revenue and customer data and ask for a health report; the tool will compute SaaS health metrics and generate a prioritized action plan.

Frequently Asked Questions about saas-analyzer

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

FAQPage Schema
How do I compute ARR, MRR, and churn from raw SaaS revenue data?

To compute SaaS metrics like ARR, MRR, and churn, ingest raw revenue and customer data into the analyzer. It processes inputs through Python scripts to calculate standard metrics and generate a structured health report with prioritized actions.

What is the best way to benchmark SaaS CAC, LTV, and NRR against industry standards?

Benchmarking SaaS CAC, LTV, and NRR involves ingesting raw customer data to calculate metrics, which are then compared against industry standards for various SaaS stages and segments to deliver clear health insights and prioritized actions.

Can I generate a prioritized action plan for SaaS unit economics?

Yes, you can generate a prioritized action plan for SaaS unit economics by providing raw revenue and customer data. The analyzer computes health metrics and outputs a structured report with prioritized actions for leadership and operations.

Do I need external dependencies to calculate SaaS metrics and ratios?

No external dependencies are required to calculate SaaS metrics and ratios. The analyzer uses standard internal Python scripts like metrics_calculator.py and unit_economics_simulator.py to process raw data independently and produce benchmarked outputs.

Does this SaaS metrics analysis tool work for different company stages and segments?

Yes, the SaaS metrics analysis tool works across various SaaS stages and segments. It benchmarks computed metrics like ARR and NRR against industry standards tailored to your specific stage to generate applicable health reports.