phoenix-capital-exit-investigator

Investigate provenance and truth-case integrity for capital allocation and exit recycling modules.

Updated Jul 21, 2025
One-click install
npx skills add https://github.com/nikhillinit/Updog_restore --skill phoenix-capital-exit-investigator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: phoenix-capital-exit-investigator
Source: https://github.com/nikhillinit/Updog_restore/tree/main/.claude/skills/phoenix-capital-exit-investigator
Command: npx skills add https://github.com/nikhillinit/Updog_restore --skill phoenix-capital-exit-investigator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill focuses on weakly-proven modules like capital allocation and exit recycling, examining assumptions and alignment with strategy.

Core Features & Use Cases

  • Provenance upgrade: Identify assumptions in capital allocation logic.
  • Truth-case expansion: Add targeted scenarios to expand truth-case coverage.
  • Alignment with strategy: Ensure capital allocation respects fund size, stages, and timing.

Quick Start

Review related modules and run targeted truth-case tests to validate alignment with strategy.

Frequently Asked Questions about phoenix-capital-exit-investigator

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

FAQPage Schema
How do I validate capital allocation logic for accuracy and strategy alignment?

Capital allocation investigation examines assumptions in allocation logic and ensures alignment with fund size, stages, and exit timing. This Skill upgrades provenance for weakly-proven modules, expands truth-case coverage with targeted scenarios, and validates that allocation respects your fund's documented strategy before deployment.

What does exit-recycling investigation do for capital redeployment?

Exit-recycling investigation identifies provenance gaps and integrity issues in modules handling capital redeployment from exits. It expands truth-case scenarios, enforces documented assumptions, and ensures exit timing aligns with fund allocation strategy through targeted validation.

How do I expand truth-case coverage for capital and exit modules?

Truth-case expansion targets LOW and MEDIUM confidence scenarios in capital allocation and exit-recycling modules. This Skill adds realistic test cases aligned with fund parameters, validates them against your documented assumptions, and re-runs the suite to confirm module integrity after modifications.

Can I identify and fix weak assumptions in financial calculation modules?

Yes. This Skill investigates provenance for capital allocation and exit-recycling, surfaces hidden assumptions, documents findings in validation reports, and upgrades confidence by eliminating hard-coded magic numbers and enforcing explicit strategy alignment.

What's the difference between low and medium confidence truth cases?

Low confidence cases lack sufficient provenance or strategy alignment; medium confidence cases have partial documentation but unverified assumptions. This Skill prioritizes both levels, expanding scenarios and enforcing provenance upgrades to move cases toward high confidence through systematic validation.