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returns-analysis Skill

AI Agent SkillPythonOpen source

Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "wha Published by anthropics in financial-services.

Decision snapshot

Is this a fit?

Best for

Testing, Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

1 month ago · Apache-2.0 license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is returns-analysis Skill?

Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "wha 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

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
  • Testing
  • Data analysis
  • Testing use cases
  • Data analysis use cases

Declared skill metadata

  • Source file: plugins/vertical-plugins/private-equity/skills/returns-analysis/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use returns-analysis Skill

  • Use it for testing.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/vertical-plugins/private-equity/skills/returns-analysis/SKILL.md

What it does

Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "wha

Skill instructions

Returns Analysis Workflow Step 1: Gather Deal Inputs Ask for (or extract from prior analysis): Entry: - Entry EBITDA (LTM or NTM) - Entry multiple (EV / EBITDA) - Enterprise value - Net debt at close - Equity check size - Transaction fees & expenses Financing: - Senior debt (x EBITDA, rate, amortization) - Subordinated debt / mezzanine (if any) - Total leverage at entry (x EBITDA) - Equity contribution Operating Assumptions: - Revenue growth rate (annual) - EBITDA margin trajectory - Capex as % of revenue - Working capital changes - Debt paydown schedule Exit: - Hold period (years) - Exit multiple (EV / EBITDA) - Exit EBITDA (calculated from growth assumptions) Step 2: Base Case Returns Calculate: | Metric | Value | |--------|-------| | Entry EV | | | Equity invested | | | Exit EBITDA | | | Exit EV | | | Net debt at exit | | | Exit equity value | | | MOIC | | | IRR | | | Cash-on-cash | | Show the returns waterfall: - EBITDA growth contribution - Multiple expansion/contraction contribut

Verified compatibility and discovery

Frequently asked questions

What is returns-analysis?

returns-analysis is a open-source AI agent skill with Copy skill directory. Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios.

Who is returns-analysis best for?

returns-analysis is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.

How do I install returns-analysis?

Install or run returns-analysis using Copy skill directory. Check returns-analysis for the latest setup command.

Is returns-analysis actively maintained?

returns-analysis may need a closer maintenance check before production use.

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34,310
Forks
5,108
Last commit
1 month ago
Last verified
Aug 20, 2026
Metadata fetched
Aug 20, 2026
Repository age
7 months
License
Apache-2.0

Project health auto-fetched from the source repository.

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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.

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