unit-economics Skill
Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on Published by anthropics in financial-services.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
1 month ago · Apache-2.0 license
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What is unit-economics Skill?
Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on Published by anthropics in financial-services. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: plugins/vertical-plugins/private-equity/skills/unit-economics/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use unit-economics Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/financial-services
- Skill file: plugins/vertical-plugins/private-equity/skills/unit-economics/SKILL.md
What it does
Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on
Skill instructions
Unit Economics Analysis Workflow Step 1: Identify Business Model Determine the revenue model to tailor the analysis: - SaaS / Subscription: ARR, net retention, cohorts - Recurring services: Contract value, renewal rates, upsell - Transaction / usage-based: Revenue per transaction, volume trends, take rate - Hybrid: Break down by revenue stream Step 2: Core Metrics ARR / Revenue Quality - ARR bridge: Beginning ARR → New → Expansion → Contraction → Churn → Ending ARR - ARR by cohort: Vintage analysis — how does each annual cohort retain and grow? - Revenue concentration: Top 10/20/50 customers as % of total - Revenue by type: Recurring vs. non-recurring vs. professional services - Contract structure: ACV distribution, multi-year %, auto-renewal % Customer Economics - CAC (Customer Acquisition Cost): Total S&M spend / new customers acquired - LTV (Lifetime Value): (ARPU × Gross Margin) / Churn Rate - LTV:CAC ratio: Target 3x for healthy businesses - CAC payback period: Months to recover a
Verified compatibility and discovery
Frequently asked questions
What is unit-economics?
unit-economics is a open-source AI agent skill with Copy skill directory. Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall.
Who is unit-economics best for?
unit-economics is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install unit-economics?
Install or run unit-economics using Copy skill directory. Check unit-economics for the latest setup command.
Is unit-economics actively maintained?
unit-economics may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.