buy-side-research

Generate investment memos using a seven-module analytical framework.

Updated May 30, 2026
One-click install
npx skills add https://github.com/zhaojun1/skills --skill buy-side-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: buy-side-research
Source: https://github.com/zhaojun1/skills/tree/main/buy-side-research
Command: npx skills add https://github.com/zhaojun1/skills --skill buy-side-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, evidence-based framework for deep-dive investment research, ensuring that investment memos are rigorous, objective, and free from common cognitive biases.

Core Features & Use Cases

  • Structured Analysis: Executes a seven-module research framework covering business models, competitive moats, financial health, and management quality.
  • Evidence-Based Reporting: Enforces strict source-attribution rules to prevent hallucination and ensure all investment theses are backed by verifiable data.
  • Use Case: When you need to evaluate a company for a long-term portfolio, this Skill performs the heavy lifting of gathering financial data, analyzing competitive dynamics, and generating a comprehensive investment memo with actionable buy/sell/hold conditions.

Quick Start

Use the buy-side-research skill to conduct a deep-dive analysis on NVIDIA and generate a comprehensive investment memo.

Frequently Asked Questions about buy-side-research

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

FAQPage Schema
How do I generate a structured investment memo for equity analysis?

To generate an investment memo, this Skill applies a seven-module analytical framework covering business models, competitive moats, and financial health to produce evidence-based equity analysis with actionable buy/sell/hold conditions.

What is the best way to ensure investment valuation models are evidence-based?

The best way to ensure investment valuation models are evidence-based is to enforce strict source-attribution rules during financial data synthesis, preventing hallucination and ensuring all investment theses are backed by verifiable data.

Can I use this framework for competitive landscape assessment and long-term investment decisions?

Yes, you can use this framework for competitive landscape assessment and long-term investment decisions, as it analyzes competitive dynamics and management quality to satisfy requirements for rigorous risk assessment.

Does buy-side research require external dependencies to perform financial data synthesis?

No, buy-side research does not require external dependencies to perform financial data synthesis, operating independently to gather financial data and execute comprehensive valuation modeling for long-term investment decision-making.

What are the limitations of using automated research for rigorous risk assessment?

A limitation of automated research is its reliance on strictly enforced source-attribution to prevent hallucination, meaning conclusions require verifiable data inputs to maintain objectivity and avoid cognitive biases in the final memo.