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saas-metrics-coachSAAS 指标教练

Agent Skill

saas-metrics-coach 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

667

周安装

27

GitHub Stars

103

下载量

210
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:saas-metrics-coach(SAAS 指标教练)
来源仓库:https://github.com/borghei/claude-skills
仓库路径:skills/saas-metrics-coach
安装命令:
npx skills add https://github.com/borghei/claude-skills --skill saas-metrics-coach
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/borghei/claude-skills --skill saas-metrics-coach

简介

saas-metrics-coach 提供 MRR/ARR、留存与单位经济的专业计算与分析框架。

  • 支持订阅数据批量处理与关键指标可视化,减少手工表格依赖。
  • 帮助 SaaS 团队精准评估增长质量与财务可持续性。
  • 输入数据需保证完整性与时效性,避免样本偏差误导决策。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

SaaS Metrics Coach Skill

Overview

Production-ready SaaS metrics toolkit for calculating MRR/ARR, analyzing cohort retention, and evaluating unit economics. Designed for SaaS founders, finance teams, and growth operators who need precise subscription revenue analysis without spreadsheet gymnastics.

Quick Start

# Calculate MRR, ARR, growth rate, and churn from subscription data
python scripts/mrr_calculator.py subscriptions.csv

# Run cohort retention analysis
python scripts/cohort_analyzer.py users.csv --cohort-period monthly

# Calculate LTV, CAC, LTV:CAC ratio, and payback period
python scripts/unit_economics.py metrics.json

Tools Overview

ToolPurposeInputOutput
mrr_calculator.pyMRR, ARR, growth rate, churnCSV with subscription dataRevenue metrics + trends
cohort_analyzer.pyCohort retention analysisCSV with user signup/activity dataRetention matrix + curves
unit_economics.pyLTV, CAC, LTV:CAC, paybackJSON with acquisition/revenue dataUnit economics dashboard

Workflows

Workflow 1: Monthly SaaS Health Check

  1. Export subscription data as CSV (columns: customer_id, plan, mrr, start_date, end_date)
  2. Run mrr_calculator.py to get current MRR, ARR, net new MRR, churn rate
  3. Run cohort_analyzer.py on user activity data to identify retention trends
  4. Run unit_economics.py to validate LTV:CAC ratio stays above 3:1
  5. Review output for warning flags (churn > 5%, LTV:CAC < 3, payback > 18 months)

Workflow 2: Investor Deck Preparation

  1. Run mrr_calculator.py --format json to get growth metrics for charts
  2. Run cohort_analyzer.py --format json for retention curves
  3. Run unit_economics.py --format json for unit economics summary
  4. Use JSON output to populate investor deck data points

Workflow 3: Churn Investigation

  1. Run mrr_calculator.py with --breakdown to see churn by plan tier
  2. Run cohort_analyzer.py to identify which cohorts churn fastest
  3. Cross-reference cohort drop-off periods with product changes
  4. Identify if churn is concentrated in specific segments or time windows

Reference Documentation

Key SaaS Metrics Definitions

  • MRR (Monthly Recurring Revenue): Sum of all active subscription revenue normalized to monthly
  • ARR (Annual Recurring Revenue): MRR x 12
  • Net New MRR: New MRR + Expansion MRR - Churned MRR - Contraction MRR
  • Gross Churn Rate: Lost MRR / Beginning MRR for the period
  • Net Revenue Retention (NRR): (Beginning MRR + Expansion - Churn - Contraction) / Beginning MRR
  • LTV (Lifetime Value): ARPU / Monthly Churn Rate (simplified) or ARPU x Gross Margin / Churn
  • CAC (Customer Acquisition Cost): Total Sales & Marketing Spend / New Customers Acquired
  • LTV:CAC Ratio: Target 3:1 or higher for healthy SaaS
  • CAC Payback Period: CAC / (ARPU x Gross Margin) in months

See references/saas-metrics-guide.md for comprehensive framework details.

Common Patterns

Pattern: Subscription CSV Format

customer_id,plan,mrr,start_date,end_date,status
C001,pro,99.00,2025-01-15,,active
C002,basic,29.00,2025-02-01,2025-08-15,churned
C003,enterprise,499.00,2025-03-10,,active

Pattern: User Activity CSV Format

user_id,signup_date,last_active_date,activity_month
U001,2025-01-05,2025-06-15,2025-06
U002,2025-01-12,2025-03-20,2025-03

Pattern: Unit Economics JSON Format

{
  "period": "2025-Q4",
  "total_customers": 1200,
  "new_customers": 150,
  "churned_customers": 45,
  "total_mrr": 89500.00,
  "arpu": 74.58,
  "gross_margin": 0.82,
  "sales_marketing_spend": 45000.00,
  "monthly_churn_rate": 0.0375
}

Healthy SaaS Benchmarks

MetricConcerningAcceptableStrong
Monthly Churn> 5%2-5%< 2%
Net Revenue Retention< 90%90-110%> 120%
LTV:CAC< 1:11:1-3:1> 3:1
CAC Payback> 24 mo12-18 mo< 12 mo
Gross Margin< 60%60-75%> 75%

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.71%
按下载量换算73

Claude

28.36%
按下载量换算60

Cursor

20.06%
按下载量换算42

Gemini CLI

9.88%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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