cim-teardown

Analyze CIMs and banker decks into diligence reports with claims and red flags.

1|2|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/MuzeWinter/CooperAPI-Plugin --skill cim-teardown
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cim-teardown
Source: https://github.com/MuzeWinter/CooperAPI-Plugin/tree/main/plugins/investment-banking/skills/cim-teardown
Command: npx skills add https://github.com/MuzeWinter/CooperAPI-Plugin --skill cim-teardown

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It turns seller materials like CIMs, teasers, and banker decks into decision-grade diligence outputs so investors can quickly see what is proven, what is missing, and what could break the deal.

Core Features & Use Cases

  • Claims extraction and validation: Breaks marketing claims, financial statements, customer metrics, and forecast statements into atomic, auditable claims.
  • Red-flag and kill-test detection: Surfaces metric definition games, evidence gaps, and credibility anomalies that can change price, structure, or whether diligence should continue.
  • Seller asks and workplan generation: Produces first-wave evidence requests, ranked diligence questions, and a structured workplan with stable IDs for downstream memoing and modeling.
  • Decision-ready reporting: Builds a standalone HTML diligence report with citations, underwriting implications, and appendices for claims, evidence, questions, and red flags.

Quick Start

Ask this skill to tear down the attached CIM into claims, red flags, diligence questions, and a first-wave seller data request.

Frequently Asked Questions about cim-teardown

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

FAQPage Schema
How do I extract claims and red flags from a CIM for investment banking diligence?

CIM teardown breaks marketing materials into atomic, auditable claims and surfaces metric definition games or evidence gaps. It generates decision-grade diligence outputs to show what is proven, missing, or could break the deal.

Can I generate a seller data request list directly from a banker deck?

Yes, you can generate first-wave seller data requests directly from a banker deck. The process analyzes the materials to produce ranked diligence questions and a structured workplan with stable IDs for downstream memoing and modeling.

What is the best way to detect metric manipulation in private equity transaction screening?

Red-flag detection in transaction screening identifies metric definition games, credibility anomalies, and evidence gaps. It highlights issues that can change price, structure, or whether diligence should continue.

How do I build a standalone diligence report with audit-grade citations from seller materials?

The process builds a standalone HTML diligence report containing support ledgers, underwriting implications, and appendices for claims, evidence, questions, and red flags. It requires stable C-, E-, Q-, RF-, and T- IDs for audit-grade citations.

Does this approach work for underwriting implication reviews in private equity workflows?

Yes, it is designed for private equity workflows and underwriting implication reviews. It transforms teasers and banker decks into structured outputs that clarify what is proven and what could break the deal.

What are the limitations of automating diligence workplan generation from a CIM?

The workflow requires stable C-, E-, Q-, RF-, and T- IDs to function correctly and cannot proceed without them. It is limited to analyzing provided seller materials and generating first-wave evidence requests rather than final verification.