ma-dealmaker

Automate M&A valuation, due diligence, and deal-memo generation from structured target data.

6|Updated May 20, 2026
One-click install
npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill ma-dealmaker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ma-dealmaker
Source: https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version/tree/main/ma-dealmaker
Command: npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill ma-dealmaker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end M&A deal work, delivering structured valuation summaries, due-diligence insights, and deal memos.

Core Features & Use Cases

  • Valuation & Modeling: DCF, LBO, and comps analyses with scenario planning and investment committee-ready outputs.
  • Due Diligence & Risk: Red-flag detection, working-capital normalization, quality-of-earnings checks.
  • Deal Memo & Negotiation: Generates investment committee memos, term-sheet analysis, and negotiation guidance.

Quick Start

Activate the M&A DealMaker and run a full valuation and due-diligence workflow for a target deal.

Frequently Asked Questions about ma-dealmaker

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

FAQPage Schema
How do I automate M&A valuation and due diligence workflows?

Automating M&A valuation and due diligence involves structured inputs for target data and historical financials to generate bull, base, and bear scenarios with recommended actions. The workflow covers DCF, LBO, synergy assessments, and quality-of-earnings checks.

Can I generate an investment committee memo directly from target screening?

Generating an investment committee memo from target screening is supported by applying structured financial inputs to produce deal-structure analyses and negotiation guidance. It delivers investment committee-ready outputs alongside due diligence insights and term-sheet reviews.

What is the best way to normalize working capital during a quality-of-earnings review?

The best way to normalize working capital during a quality-of-earnings review is to input historical financials into the workflow for red-flag detection. This process outputs structured due-diligence insights and normalized financial scenarios.

Does this M&A tool support LBO and DCF scenario planning?

DCF and LBO scenario planning are supported for comprehensive valuation and modeling. The tool requires structured target data inputs to output bull, base, and bear investment scenarios for investment committee review.

How do I structure target data for synergy modeling and deal-structure analysis?

Synergy modeling and deal-structure analysis require structured inputs for target data and historical financials to function correctly. Providing this structured data allows the workflow to generate recommended actions and valuation summaries.

When should I not use automated term-sheet analysis for deal negotiation?

Automated term-sheet analysis should not be used without structured inputs for target data and historical financials, as accurate red-flag detection and valuation scenarios depend entirely on this foundational data.