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Agent Skill · 效率

startup-metrics(启动指标)

startup-metrics 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

startup-metrics 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 1,341。

总安装 47,599周安装 1,907GitHub Stars 公开资料未说明下载 15,409核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:startup-metrics(启动指标)
来源仓库:https://github.com/wpank/startup-metrics
安装命令:
openclaw skills install startup-metrics
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install startup-metrics

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

跟踪、计算和优化初创公司从种子期到 A 轮的关键绩效指标。涵盖单位经济效益、增长效率和商业模式。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install startup-metrics;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

startup-metrics 怎么安装?

在终端执行 openclaw skills install startup-metrics。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

startup-metrics 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

startup-metrics 需要什么权限?

权限级别是只读。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。

startup-metrics 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

startup-metrics 用的人多吗?

公开数据是累计安装 47,599 次,近一周安装 1,907 次,下载 15,409 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

startup-metrics 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
startup-metrics

启动指标 · 本页

47,599—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
startup-metrics
model
fast
version
1.0.0
description
>
tags
[startup, metrics, saas, kpis, unit-economics, growth, fundraising]

Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

Installation

OpenClaw / Moltbot / Clawbot

npx clawhub@latest install startup-metrics

WHAT This Skill Does

Provides formulas, benchmarks, and guidance for:

  • Revenue metrics (MRR, ARR, growth rates)
  • Unit economics (CAC, LTV, payback period)
  • Cash efficiency (burn rate, runway, burn multiple)
  • SaaS-specific metrics (NDR, magic number, Rule of 40)
  • Marketplace and consumer metrics
  • Stage-appropriate focus areas

WHEN To Use

  • Setting up startup analytics and dashboards
  • Calculating CAC, LTV, or unit economics
  • Preparing investor updates or pitch materials
  • Evaluating business health and efficiency
  • Understanding what metrics matter at each stage

KEYWORDS

startup metrics, saas metrics, cac, ltv, arr, mrr, burn rate, burn multiple, rule of 40, net dollar retention, magic number, unit economics, marketplace gmv, dau mau

Universal Startup Metrics

Revenue Metrics

MRR = Σ (Active Subscriptions × Monthly Price)
ARR = MRR × 12

MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR

Benchmarks:

StageGrowth Target
Seed15-20% MoM
Series A10-15% MoM, 3-5x YoY
Series B+100%+ YoY (Rule of 40)

Unit Economics

CAC = Total S&M Spend / New Customers Acquired
LTV = ARPU × Gross Margin% × (1 / Churn Rate)
LTV:CAC Ratio = LTV / CAC
CAC Payback = CAC / (ARPU × Gross Margin%)

Benchmarks:

MetricExcellentGoodConcerning
LTV:CAC> 3.01.0-3.0< 1.0
CAC Payback< 12 months12-18 months> 24 months

Cash Efficiency

Monthly Burn = Monthly Revenue - Monthly Expenses
Runway (months) = Cash Balance / Monthly Burn Rate
Burn Multiple = Net Burn / Net New ARR

Burn Multiple Benchmarks:

ScoreAssessment
< 1.0Exceptional efficiency
1.0-1.5Good
1.5-2.0Acceptable
> 2.0Inefficient

Target: Always maintain 12-18 months runway.

SaaS Metrics

Revenue Composition

Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR

Retention Metrics

NDR (Net Dollar Retention) = (ARR Start + Expansion - Contraction - Churn) / ARR Start
Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
Logo Retention = (Customers End - New Customers) / Customers Start

NDR Benchmarks:

RangeAssessment
> 120%Best-in-class
100-120%Good
< 100%Needs work

Efficiency Metrics

Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
Rule of 40 = Revenue Growth Rate% + Profit Margin%
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)

Magic Number:

  • > 0.75 = Efficient, ready to scale
  • 0.5-0.75 = Moderate efficiency
  • < 0.5 = Inefficient, don't scale yet

Marketplace Metrics

GMV = Σ (Transaction Value)
Take Rate = Net Revenue / GMV

Typical Take Rates:

TypeRange
Payment processors2-3%
E-commerce marketplaces10-20%
Service marketplaces15-25%
High-value B2B5-15%

Liquidity Indicators:

  • Fill rate > 80% = Strong liquidity
  • Repeat rate > 60% = Strong retention

Consumer/Mobile Metrics

DAU/MAU Ratio = DAU / MAU
K-Factor = Invites per User × Invite Conversion Rate

DAU/MAU Benchmarks:

RatioAssessment
> 50%Exceptional (daily habit)
20-50%Good
< 20%Weak engagement

Retention Benchmarks (Day 30):

RateAssessment
> 40%Excellent
25-40%Good
< 25%Weak

B2B Sales Metrics

Win Rate = Deals Won / Total Opportunities
Pipeline Coverage = Total Pipeline Value / Quota (target: 3-5x)
ACV = Total Contract Value / Contract Length (years)

Sales Cycle Benchmarks:

SegmentTypical Duration
SMB30-60 days
Mid-market60-120 days
Enterprise120-270 days

Metrics by Stage

Pre-Seed (Product-Market Fit)

Focus: Active users, retention (Day 7/30), engagement, qualitative feedback

Don't worry about: Revenue, CAC, unit economics

Seed ($500K-$2M ARR)

Focus:

  • MRR growth rate (15-20% MoM)
  • CAC and LTV baselines
  • Gross retention (> 85%)
  • Core product engagement

Start tracking: Sales efficiency, burn rate, runway

Series A ($2M-$10M ARR)

Focus:

  • ARR growth (3-5x YoY)
  • LTV:CAC > 3, payback < 18 months
  • NDR > 100%
  • Burn multiple < 2.0
  • Magic number > 0.5

What Investors Want to See

Seed Round

  • MRR growth rate
  • User retention
  • Early unit economics
  • Product engagement

Series A

  • ARR and growth rate
  • CAC payback < 18 months
  • LTV:CAC > 3.0
  • NDR > 100%
  • Burn multiple < 2.0

Series B+

  • Rule of 40 > 40%
  • Efficient growth (magic number)
  • Path to profitability

Dashboard Format:

Current MRR: $250K (↑ 18% MoM)
ARR: $3.0M (↑ 280% YoY)
CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
NDR: 112% | Logo Retention: 92%
Burn: $180K/mo | Runway: 18 months

Common Mistakes

  1. Vanity Metrics — Focus on actionable metrics, not total users or page views
  2. Too Many Metrics — Track 5-7 core metrics intensely, not 50 loosely
  3. Ignoring Unit Economics — CAC and LTV matter even at seed stage
  4. Not Segmenting — Break down by customer segment, channel, cohort
  5. Gaming Metrics — Optimize for real business outcomes, not dashboards

NEVER Do

  1. NEVER ignore unit economics at any stage — CAC and LTV are always critical
  2. NEVER track vanity metrics (total users, page views) without retention context
  3. NEVER report growth rates without absolute numbers — 100% growth from $1K is different from $1M
  4. NEVER skip segmentation — aggregate metrics hide important patterns
  5. NEVER confuse correlation with causation — investigate before concluding
  6. NEVER set targets without understanding your stage benchmarks
  7. NEVER present metrics without trend context — current value + growth rate + benchmark
  8. NEVER optimize for the metric instead of the underlying business outcome

平台分布

OpenClaw

97.68%
按下载量换算15,052

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。目前只有一个公开来源,建议同时核对源仓库。

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