thesis-tracker

Track investment theses by logging pillars, risks, catalysts, and conviction.

1.6k|270|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/ginlix-ai/LangAlpha --skill thesis-tracker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thesis-tracker
Source: https://github.com/ginlix-ai/LangAlpha/tree/main/skills/thesis-tracker
Command: npx skills add https://github.com/ginlix-ai/LangAlpha --skill thesis-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool helps investors systematically monitor evolving investment theses by organizing pillars, risks, catalysts, and conviction across time, reducing ad-hoc updates and cognitive load.

Core Features & Use Cases

  • Thesis creation & loading: Capture company, ticker, position (long/short), a clear thesis statement, 3-5 pillars, 3-5 risks, upcoming catalysts, and target value with stop-loss triggers.
  • Thesis scorecard & updates: Maintain a running log of new data points, update conviction, and adjust position sizing based on evidence.
  • Catalyst calendar: Track upcoming events (earnings, product launches, regulatory decisions) with dates and expected impact.
  • Output for reviews: Generate concise summaries for morning meetings, portfolio reviews, and risk committee discussions.

Quick Start

Create a new thesis with Company, Ticker, Position, and Thesis statement, then start recording pillars, risks, and catalysts as events unfold.

Frequently Asked Questions about thesis-tracker

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

FAQPage Schema
How do I track investment theses and monitor conviction over time?

Track investment theses by capturing company, ticker, position, and thesis statement, then recording pillars, risks, and catalysts. Update conviction and position sizing as new data arrives to maintain a running log for portfolio reviews.

What is the best way to organize investment risks and catalysts for a portfolio?

Organize investment risks and catalysts by enforcing structured data entry into a scorecard. You log 3-5 risks and upcoming catalysts with expected impact, reducing ad-hoc updates and cognitive load during portfolio monitoring.

How do I create an investment thesis scorecard for morning meetings?

Create an investment thesis scorecard by entering long or short position details, target value, and stop-loss triggers. The tool generates concise summaries of pillars and catalysts for morning meetings and risk committee discussions.

Can I adjust position sizing based on evolving investment thesis data?

Adjust position sizing by updating your conviction level in the thesis scorecard as evidence arrives. The running log tracks new data points so you can systematically evaluate whether to increase or decrease your position.

Does tracking investment catalysts require structured data entry?

Tracking investment catalysts requires structured data entry to maintain a running log of events like earnings or product launches. You input dates and expected impact alongside thesis pillars to enforce systematic monitoring.

Why use a structured scorecard instead of ad-hoc notes for investment theses?

A structured scorecard reduces cognitive load by organizing pillars, risks, and catalysts in one place. Unlike ad-hoc notes, it enforces consistent data entry and updates conviction based on evidence for reliable portfolio reviews.