surface

Name: surface
Availability: InStock
Author: jameswong2011

Analyze vault notes to identify investment blind spots and macro risks.

2|Updated Apr 17, 2026

Search Tags:#portfolio optimization #cross-referencing #risk detection #investment insights #vault analysis

Ready to run

npx skills add https://github.com/jameswong2011/InvestmentVault --skill surface

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: surface
Source: https://github.com/jameswong2011/InvestmentVault/tree/main/.claude/skills/surface
Command: npx skills add https://github.com/jameswong2011/InvestmentVault --skill surface

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the analysis of vault content to uncover overlooked connections, insights, and opportunities, helping users make more informed investment decisions.

Core Features & Use Cases

Deep Insight Discovery: Performs comprehensive analysis across multiple note types to identify patterns, gaps, and implied opportunities.
Portfolio Optimization: Flags unmonitored dependencies, macro sensitivities, and value chain nodes to refine investment focus.
Use Case: An investor wants to discover overlooked sector opportunities and macro risks; running this Skill highlights hidden relationships and emerging themes in their data.

Quick Start

Ask the AI to analyze your vault for missed connections and risk factors by invoking the surface analysis command with the relevant scope.

Frequently Asked Questions about surface

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

FAQPage Schema

How do I find hidden investment opportunities in my notes?▼

To find hidden investment opportunities, you need cross-referencing to analyze your vault and identify overlooked connections, value chain nodes, and emerging themes across multiple notes. This process reveals unmonitored dependencies and implied opportunities.

What is vault analysis for portfolio optimization?▼

Vault analysis for portfolio optimization involves parsing multiple notes to detect macro sensitivities, assess sector exposures, and flag unmonitored dependencies. It identifies investment blind spots and hidden value chain opportunities to refine your focus.

How do I detect macro risks in my investment research vault?▼

You can detect macro risks by running a comprehensive vault analysis that cross-references your notes to assess macro exposures and identify contrarian signals. This highlights hidden relationships and risk factors within your specified scope.

Can I analyze multiple note types to find contrarian signals?▼

Yes, you can analyze multiple note types to find contrarian signals by performing deep multi-note parsing. This cross-referencing identifies patterns, gaps, and emerging themes that suggest contrarian opportunities within your data.

What is the best way to uncover overlooked value chain nodes in my vault?▼

The best way to uncover overlooked value chain nodes is through comprehensive vault analysis that cross-references connections between notes. This identifies hidden relationships and value chain opportunities to refine your investment focus.

Does vault analysis work without requiring external dependencies?▼

Yes, vault analysis works without external dependencies by performing deep multi-note parsing and cross-referencing internally. It focuses on discovering connections, assessing exposures, and detecting contrarian signals within your specified scope.