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startup-metrics启动指标

Agent Skill

startup-metrics 用于补充待分类相关能力,适合在 Local Agent 中需要让 Agent 承接待分类相关任务时使用。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。

总安装

220

周安装

9

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71
Local Agent

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。

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

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请帮我安装这个 Agent Skill:startup-metrics(启动指标)
来源仓库:https://skills.volces.com
仓库路径:startup-metrics
安装命令:
OpenClaw / Moltbot / Clawbot
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命令行安装

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skills.sh安装方式未标明
OpenClaw / Moltbot / Clawbot

简介

startup-metrics 用于补充待分类相关能力,适合扩展 Local Agent 的未归类功能。

  • 它能协助处理尚未明确分类的任务需求。startup-metrics 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需结合来源仓库和 README 进一步验证能力范围。
  • 安装前应确认权限范围和是否会触发外部操作。
  • 建议根据实际场景评估其适用性与稳定性。

SKILL.md

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

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