Which files does this skill typically interact with?

It focuses on server-side analytics files and JSON documentation related to capital allocation and truth-case scenarios.

What is the primary purpose of this skill?

It is designed to investigate, audit, and improve the logic for capital allocation and exit recycling in investment-focused software.

How does it improve model reliability?

By identifying hidden assumptions, cross-checking against fund strategy, and expanding test scenarios for edge cases like over-commitment or late timing.

Does it handle numeric precision?

Yes, it is designed to coordinate with precision-focused logic guards to ensure numeric integrity remains intact during code changes.

When should I use the Phoenix Capital & Exit Investigator?

Use it when modifying sensitive financial modules or investigating low-confidence modules identified during the planning phase of development.

Phoenix Capital & Exit Investigator

Name: Phoenix Capital & Exit Investigator
Author: nikhillinit

bynikhillinit

Analytics & Monitoring

Investigates and validates capital allocation and exit recycling logic to ensure financial model integrity.

About

The Phoenix Capital & Exit Investigator is a specialized skill designed for developers working on venture capital or investment management software. It focuses on auditing 'low-confidence' modules such as capital allocation and exit recycling logic. By cross-checking code against fund strategies—including stage allocations and graduation matrices—and expanding truth-case scenarios, it helps ensure that financial models accurately reflect fund sizes, timing assumptions, and commitment levels while maintaining high precision and safety standards.

Key Features

0 GitHub stars
Audits capital allocation and exit recycling logic for assumptions and gaps
Expands truth-case suites with edge cases like zero or partial deployment
Aligns code logic with fund strategy parameters and exit timing
Documents findings and provenance gaps in validation reports
Coordinates with precision guards to ensure numeric logic safety

Use Cases

Validating financial analytics modules for venture capital fund management
Debugging low-confidence truth cases in capital allocation models
Ensuring hard-coded values in exit recycling logic are replaced with configurable settings

About

Key Features

0 GitHub stars
Audits capital allocation and exit recycling logic for assumptions and gaps
Expands truth-case suites with edge cases like zero or partial deployment
Aligns code logic with fund strategy parameters and exit timing
Documents findings and provenance gaps in validation reports
Coordinates with precision guards to ensure numeric logic safety

Use Cases

Validating financial analytics modules for venture capital fund management
Debugging low-confidence truth cases in capital allocation models
Ensuring hard-coded values in exit recycling logic are replaced with configurable settings