company-analysis

Analyze company prompts into structured investment decisions with Reverse DCF.

296|57|Updated Apr 13, 2026

Search Tags:#financial modeling #valuation #investment research #company analysis #equity research #m&a #reverse dcf

Ready to run

npx skills add https://github.com/monarchjuno/vibe-investing --skill company-analysis-monarchjuno

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: company-analysis
Source: https://github.com/monarchjuno/vibe-investing/tree/main/skills/fundamental-analysis/company-analysis
Command: npx skills add https://github.com/monarchjuno/vibe-investing --skill company-analysis-monarchjuno

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill turns a short company prompt into a rigorous investment analysis without requiring the user to choose a framework first. It is built to start from market expectations, verify data before modeling, and avoid unsupported valuation claims.

Core Features & Use Cases

Automatically routes a prompt into the right finance workflow for listed companies, private businesses, M&A, IPO, LBO, credit, or risk questions.
Runs narrative-first analysis with Reverse DCF, Forward DCF, trading comps, sensitivity analysis, and deal-radar checks.
Tags data as actual, estimated, or assumption and highlights uncertainty so the output stays defensible.
Use it for a company name, an analyze request, a transaction question, or an investment memo where speed and rigor both matter.

Quick Start

Use the company-analysis skill to analyze [company name] and produce a plain-text investment memo with verified data, reverse DCF, forward DCF, comps, and key risks.

Frequently Asked Questions about company-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate an investment memo from a short company prompt?▼

The skill turns a short company prompt into a structured investment memo by automatically routing it into the correct finance workflow, applying reverse DCF, forward DCF, and comps analysis, and outputting plain-text results.

What is reverse DCF and when do I need it for equity research?▼

Reverse DCF is a valuation method that starts from current market expectations to assess what a stock price implies. You need it for equity research to evaluate narrative-first expectations before running forward DCF models and avoid unsupported valuation claims.

Can I use this for private company valuation and M&A analysis?▼

Yes, you can use it for private company valuation, M&A, LBO, IPO, debt, and credit requests. The analysis requires minimal context from the user and applies web-verified data gathering to handle these specific finance situations.

How do I run a sensitivity analysis and trading comps for investment research?▼

To run sensitivity analysis and trading comps for investment research, input a company name or transaction question. The skill automatically generates these metrics alongside reverse DCF and deal-radar checks within a plain-text investment memo.

Does the output include markdown tables for financial modeling data?▼

No, the output does not include markdown tables for financial modeling. The skill explicitly formats investment decisions as plain-text memos without markdown or tables, while tagging data as actual, estimated, or assumption to highlight uncertainty.