Deal Screening

Screen deal materials against investment criteria and generate one-page screening memos.

17|4|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/yuping322/financial-services-plugins-new --skill deal-screening-yuping322
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Deal Screening
Source: https://github.com/yuping322/financial-services-plugins-new/tree/main/private-equity/skills/deal-screening
Command: npx skills add https://github.com/yuping322/financial-services-plugins-new --skill deal-screening-yuping322

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly evaluates inbound deal flow (CIMs, teasers, broker materials) against a fund's investment criteria so partners can decide whether to progress a deal without lengthy manual review. It condenses key company facts, financial metrics, valuation signals, and risks into a decisive one-page screening output.

Core Features & Use Cases

  • Fast fact extraction: Pull company name, location, sector, short description, revenue, EBITDA, margins, growth, deal type, asking price/valuation, seller motivation, management status, key customers, and obvious risks.
  • Criteria-based screening: Compare extracted metrics to fund-specific investment criteria and render a pass / further diligence / hard pass verdict with a simple pass/fail table.
  • Concise deliverable: Produce a partner-ready one-page screening memo with a 3-part quick assessment (verdict, bull case, bear case) and prioritized questions for a first call.
  • Use Case: When a new CIM arrives, run this Skill to triage dozens of inbound opportunities in minutes and surface only those that merit a first-call follow-up.

Quick Start

Screen this CIM against the fund's stated investment criteria and generate a one-page screening memo with verdict, bull/bear cases, and key follow-up questions.

Frequently Asked Questions about Deal Screening

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

FAQPage Schema
How do I screen inbound CIMs against private equity investment criteria?

Screening inbound CIMs against private equity investment criteria involves extracting company financials, revenue, EBITDA, and deal type, then comparing them to your fund's criteria to generate a pass or fail verdict. It produces a one-page screening memo for partners.

What is the best way to triage private equity teasers and broker materials quickly?

Triage private equity teasers and broker materials by rapidly fact-extracting company profiles, growth metrics, and valuation signals, then applying pass/fail criteria. This condenses key facts into a decisive one-page memo to prioritize opportunities without lengthy manual review.

Can I generate a one-page screening memo with bull and bear cases from a deal teaser?

Yes, you can generate a one-page screening memo from a deal teaser by extracting key financial metrics and applying investment criteria. The output includes a 3-part quick assessment with a verdict, bull case, bear case, and prioritized questions for a first call.

How do I extract financial metrics and flag missing data during deal triage?

Extract financial metrics and flag missing data during deal triage by parsing deal materials for revenue, EBITDA, margins, and asking price. The process identifies inconsistent or missing financial data and surfaces prioritized follow-up questions for the diligence phase.

Does deal screening work for initial diligence calls or just written CIMs?

Deal screening works for both written CIMs and initial diligence calls. It applies to private equity deal triage across teasers, broker materials, and call notes to extract company profiles, apply pass/fail investment criteria, and rapidly prioritize opportunities.

What are the limitations of automated deal screening for inbound opportunities?

Automated deal screening for inbound opportunities relies on the data presented in CIMs and teasers, meaning it cannot verify external financial accuracy. It flags missing or inconsistent data for follow-up but requires human review to validate the seller motivation and obvious risks during deeper diligence.