serenity

Analyze US equities and AI infrastructure supply chains using Python.

146|19|Updated Jun 4, 2026
One-click install
npx skills add https://github.com/ZadAnthony/serenity-skill --skill serenity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: serenity
Source: https://github.com/ZadAnthony/serenity-skill/tree/main
Command: npx skills add https://github.com/ZadAnthony/serenity-skill --skill serenity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Serenity Skill provides a comprehensive, repeatable analysis engine for US equities and the AI infrastructure supply chain, empowering users to conduct in-depth investment analysis.

Core Features & Use Cases

  • Comprehensive Analysis: Analyze stocks, sectors, and theses using the "reverse-engineer the supply-chain bottleneck" methodology of Serenity.
  • In-depth Reporting: Generate detailed research reports with valuation, risk analysis, and actionable insights.
  • Customizable Workflow: Integrate Serenity Skill into your existing agent runtime for seamless analysis and decision-making.

Quick Start

To install Serenity Skill, clone the repository and place the SKILL.md and methodology.md files into your agent's skills directory. To analyze a stock, use the command /serenity analyze $stock_symbol.

Frequently Asked Questions about serenity

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

FAQPage Schema
How do I analyze US equities using the reverse-engineer the supply-chain bottleneck methodology?▼

To analyze US equities, the reverse-engineer the supply-chain bottleneck methodology identifies AI infrastructure bottlenecks to generate detailed investment research reports with valuation and risk analysis. You can execute this by running the `/serenity analyze $stock_symbol` command in your agent runtime.

What is the reverse-engineer the supply-chain bottleneck methodology for AI investment analysis?▼

The reverse-engineer the supply-chain bottleneck methodology isolates critical constraints within the AI infrastructure supply chain to evaluate technology equities. It systematically traces supply chain dependencies to produce actionable investment insights and in-depth research reports.

Do I need Python and pandas to run Serenity investment analysis?▼

Yes, you need Python installed along with pandas, numpy, and scikit-learn to run Serenity investment analysis. These dependencies are required for data retrieval, manipulation, and applying machine learning models to evaluate US equities and the AI infrastructure supply chain.

Can I use pandas and scikit-learn for stock and sector analysis in an agent runtime?▼

Yes, you can integrate this skill into your existing agent runtime to use pandas and scikit-learn for stock and sector analysis. This customizable workflow automates data retrieval and investment analysis directly within your established decision-making environment.

What is the best way to generate detailed research reports for AI infrastructure equities?▼

The best way to generate detailed research reports for AI infrastructure equities is applying the reverse-engineer the supply-chain bottleneck methodology. This approach provides comprehensive valuation, risk analysis, and actionable insights by tracing critical supply chain constraints.