investment-committee

Original：🇨🇳 Chinese

Translated

2 scripts

Form a high-level investment committee consisting of three virtual experts modeled after legendary investors (Buffett, Wood, Druckenmiller) to conduct independent multi-round adversarial debates. True independent thinking is achieved through physically isolated Gemini API calls, and final resolutions are formed via voting. Use when evaluating investment decisions, reviewing stock research reports, or seeking multi-perspective analysis on public companies.

1installs

Sourcez1993/alphamao_skills

Added on2026-02-18

NPX Install

npx skill4agent add z1993/alphamao_skills investment-committee

SKILL.md Content (Chinese)

View Translation Comparison →

Investment Committee (Multi-Agent Adversarial V3)

Launch a virtual committee modeled after three top investors to conduct rigorous independent reviews, adversarial debates, and voting resolutions on target companies.

⚔️ Core Design Principles

Physical Isolation: Each Agent is an independent Gemini API call with a complete Persona system prompt.
In-Depth Persona: Generalized investment philosophy framework, not dependent on specific cases.
Data Injection: Automatically fetch real-time macro data (interest rates, exchange rates, VIX), and use forward fill (
```
ffill
```
) to handle holidays/missing data, ensuring Druckenmiller always receives valid intelligence.
Intelligent Retry: Built-in Exponential Backoff mechanism to automatically handle API 429 rate-limiting errors.
Resolution Mechanism: Debate ends --> automatically extract votes --> Chairman Agent forms resolution.

👥 Committee Members

Role	Core Investment Philosophy	Data Injection
Buffett	"Business" mindset, moat, margin of safety	Standard research reports
Wood	Wright's Law, S-curve inflection point, technology integration	Standard research reports
Druckenmiller	Liquidity first, price action, asymmetric odds	Real-time macro snapshot (U.S. Treasuries/USD/VIX)

Detailed personas can be found in:

references/personas/

directory.

🔄 Execution Process

Pre-Flight: Data Fetching

The script automatically fetches from Yahoo Finance:

10-year U.S. Treasury Yield (
```
^TNX
```
)
U.S. Dollar Index (
```
DX-Y.NYB
```
)
VIX (
```
^VIX
```
)
S&P/Nasdaq trends (
```
SPY
```
,
```
QQQ
```
)

Phase 1: Independent Review

Each expert reads the research report (Druckenmiller additionally receives macro data) and provides an independent judgment.

Phase 2: Adversarial Debate

Multi-round debates with targeted rebuttals and position updates.

Phase 3: Voting & Decision

Extract each expert's vote (Buy/Reject/Hold) and confidence level.
Generate the Final Resolution of the Investment Committee combined with the macro background.

🛠️ Tech Stack

LLM: Google Gemini 2.0 Flash (
```
google-genai
```
)
Data: Yahoo Finance (
```
yfinance
```
)
Env: Supports HTTP proxy

🚀 Usage

1. Install Dependencies

bash

pip install -r requirements.txt

2. Set Up Environment

bash

# Windows PowerShell
$env:GEMINI_API_KEY='<YOUR_API_KEY>'  # Replace with your Gemini API Key

# Optional proxy (e.g., using Clash/V2Ray, etc.)
$env:HTTP_PROXY='http://127.0.0.1:<PORT>'  # Replace with your proxy port
$env:HTTPS_PROXY='http://127.0.0.1:<PORT>'

Get API Key: Visit Google AI Studio to create an API Key

3. Run

bash

python scripts/run_committee.py <path_to_report.md> --rounds 3 --output ./output

📁 Skill Directory Structure

investment-committee/
├── SKILL.md                      # This file (architecture description)
├── TROUBLESHOOTING.md            # Troubleshooting
├── requirements.txt              # Dependencies (google-genai, yfinance)
├── scripts/
│   └── run_committee.py          # Core execution script (includes data fetching logic)
└── references/
    └── personas/                 # Generalized persona prompts
        ├── buffett.md
        ├── wood.md
        └── druckenmiller.md

investment-committee

NPX Install

Tags

SKILL.md Content (Chinese)

Investment Committee (Multi-Agent Adversarial V3)

⚔️ Core Design Principles

👥 Committee Members

🔄 Execution Process

Pre-Flight: Data Fetching

Phase 1: Independent Review

Phase 2: Adversarial Debate

Phase 3: Voting & Decision

🛠️ Tech Stack

🚀 Usage

1. Install Dependencies

2. Set Up Environment

3. Run

📁 Skill Directory Structure