deal-screening

Extract deal data from CIMs and teasers and generate pass/consider/decline memos.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/brianping7/volc-financial-services-skill-sets --skill deal-screening-brianping7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deal-screening
Source: https://github.com/brianping7/volc-financial-services-skill-sets/tree/main/private-equity/deal-screening
Command: npx skills add https://github.com/brianping7/volc-financial-services-skill-sets --skill deal-screening-brianping7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill accelerates the private-equity deal screening process by extracting essential deal facts from CIMs and teasers, applying investment criteria, and producing a concise memo for decision-making.

Core Features & Use Cases

  • Ingest CIMs or teasers and automatically extract company name, location, industry, revenue, EBITDA, growth, deal type, valuation, seller motivation, and key risks.
  • Apply fund investment standards (revenue, EBITDA, growth, geography, EV/EBITDA) to classify deals as pass/consider/decline and generate a one-page screening memo with conclusions and risk notes.
  • Generate a structured output to triage inbound materials, prioritize conversations, and guide initial calls.

Quick Start

Provide a CIM or teaser and invoke the deal-screening workflow to generate a concise one-page screening memo.

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 private-equity deals from a CIM or teaser?

Screening inbound private-equity deals involves extracting data like revenue and EBITDA from a CIM or teaser. The system applies your investment criteria to generate a one-page screening memo for go/no-go decisions.

What is the best way to evaluate inbound deal flow for initial calls?

Evaluating inbound deal flow is best handled by extracting company facts and applying investment standards like EV/EBITDA. This classifies opportunities as pass, consider, or decline to prioritize initial calls.

Can I apply specific fund investment criteria to categorize inbound materials?

You can apply specific fund investment criteria such as revenue, EBITDA, growth, geography, and EV/EBITDA. The system uses these standards to categorize inbound materials and output pass, consider, or decline options.

What data points are extracted from a teaser during deal screening?

During deal screening, the system extracts company name, location, industry, revenue, EBITDA, growth, deal type, valuation, seller motivation, and key risks from a teaser to inform the screening memo.

How does automated screening handle deals that do not meet investment standards?

Automated screening handles deals that do not meet investment standards by classifying them as decline. It still extracts the relevant data and includes risk notes in the one-page screening memo output.