fund-raise-negotiation-engine

Model MFN cascades and blended fees for LP-by-LP capital raise negotiations.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/chibus0368-pixel/om-analyzer --skill fund-raise-negotiation-engine
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Skill: fund-raise-negotiation-engine
Source: https://github.com/chibus0368-pixel/om-analyzer/tree/main/skills/fund-raise-negotiation-engine
Command: npx skills add https://github.com/chibus0368-pixel/om-analyzer --skill fund-raise-negotiation-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tracks LP-by-LP capital raise negotiations, persistent state, and MFN cascade analysis to protect blended fund economics and ensure accurate revenue forecasting as commitments lock in.

Core Features & Use Cases

  • Persistent ledger of LP negotiation statuses, commitments, and terms for multi-close raises.
  • MFN cascade modeling and scenario analysis to quantify direct and indirect revenue impact.
  • End-to-end workflow support (fund setup, LP intake, negotiation updates, and scenario modeling) with production-grade validations and reports.

Quick Start

Initialize a new fund setup and run a scenario to model a potential anchor concession.

Frequently Asked Questions about fund-raise-negotiation-engine

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

FAQPage Schema
How does MFN cascade modeling impact fund economics during an LP capital raise?

MFN cascade modeling quantifies direct and indirect revenue impacts by tracking Most Favored Nation clauses across LP commitments. This protects blended fund economics by ensuring concessions granted to one LP are accurately cascaded and measured against all existing institutional terms.

How do I track LP-by-LP negotiation status for a multi-close CRE fund?

You track LP-by-LP negotiations using a persistent ledger of commitments, terms, and statuses. This maintains stateful records across multi-close structures, capturing updates for anchor, strategic, standard, and emerging LPs throughout the capital raise lifecycle.

Can I model blended fee scenarios and fee-offset provisions for institutional LPs?

Yes, you can model blended fee scenarios by applying fee-offset provisions across institutional LP terms. The engine outputs stateful representations of terms, projections, and risk indicators to validate fundId, carry, fee basis, and LPAC considerations.

What is the best way to model an anchor LP concession before finalizing a fund raise?

The best way is running a scenario model on an initialized fund setup to simulate the potential anchor concession. This quantifies the concession's impact on the MFN cascade and overall blended economics before locking in the commitment.

What fund setup parameters are required to start modeling LP pipeline negotiations?

Required validations include fundId, fundName, targetRaise, hardCap, currency, fee basis, carry, and MFN scope. Providing these fund setup parameters and LP terms initializes the workflow to output negotiation projections and risk indicators.