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lbo-model Skill

AI Agent SkillPythonOpen source

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch. Published by NousResearch in hermes-agent.

What is lbo-model Skill?

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch. Published by NousResearch in hermes-agent. 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.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use lbo-model Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/finance/lbo-model/SKILL.md

What it does

Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.

Skill instructions

Environment This skill assumes headless openpyxl — you are producing an .xlsx file on disk. Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables. Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py ./out/model.xlsx. --- TEMPLATE REQUIREMENT This skill uses templates for LBO models. Always check for an attached template file first. Before starting any LBO model: 1. If a template file is attached/provided: Use that template's structure exactly - copy it and populate with the user's data 2. If no template is attached: Ask the user: "Do you have a specific LBO template you'd like me to use? If not, I can use the standard template which includes Sources & Uses, Operating Model, Debt Schedule, and Returns Analysis." 3. If using the standard template: Copy examples/LBOModel.xlsx as your starting point and populate it with the user's assumptions IMPORTANT: When a file like LBOModel.xlsx is attached, you MUST use i

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Frequently asked questions

What is lbo-model?

lbo-model is a open-source AI agent skill with Copy skill directory. Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author.

Who is lbo-model best for?

lbo-model is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install lbo-model?

Install or run lbo-model using Copy skill directory. Check lbo-model for the latest setup command.

Is lbo-model actively maintained?

lbo-model may need a closer maintenance check before production use.

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Stars
214,436
Forks
39,858
Last commit
9 days ago
Repository age
1 year
License
MIT

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