mm-catalyst-analyst

Synthesize catalyst timing signals into debate-ready equity trading theses.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/ShinyGua/MarketMind-AlphaEngine --skill mm-catalyst-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mm-catalyst-analyst
Source: https://github.com/ShinyGua/MarketMind-AlphaEngine/tree/main/.claude/skills/mm-catalyst-analyst
Command: npx skills add https://github.com/ShinyGua/MarketMind-AlphaEngine --skill mm-catalyst-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analysts often struggle to translate catalyst events into timely, evidence-backed trading decisions and debate-ready theses.

Core Features & Use Cases

  • Catalyst timing analysis and debate-ready theses around earnings and catalysts
  • Integration with catalyst calendars, earnings estimates, and company profiles
  • Cross-critique mode for selective debate and performance evaluation

Quick Start

Provide a catalyst memo for the next earnings date using the workspace calendar and save it to the discussion folder.

Frequently Asked Questions about mm-catalyst-analyst

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

FAQPage Schema
How do I build a debate-ready equity research thesis around upcoming earnings catalysts?

A catalyst timing analysis translates event-driven insights and earnings expectations into actionable trade timing recommendations. It synthesizes company profiles and price context to form a debate-ready equity research thesis.

How do I analyze catalyst timing signals to evaluate potential trade timing?

Catalyst timing signals are analyzed by reading catalyst calendars, evidence cards, and price context to assess risk/reward around upcoming events. This process outputs a memo with actionable timing recommendations in the designated workspace path.

What is the best way to integrate a catalyst calendar with earnings estimates for equity analysis?

Integrating a catalyst calendar with earnings estimates involves reading company profiles and price context to synthesize event-driven insights. This produces a debate-ready thesis evaluating trade timing and risk/reward for upcoming catalysts.

Can I use cross-critique mode to selectively debate and evaluate equity research performance?

Yes, cross-critique mode allows selective debate and performance evaluation of your equity research thesis. It applies catalyst calendar data and event-driven insights to refine your catalyst timing analysis and trade timing recommendations.

Does this catalyst timing analysis require specific data inputs to generate a trade memo?

Yes, catalyst timing analysis requires reading calendars, evidence cards, price context, and company profiles to satisfy data constraints. These inputs are synthesized to output a memo in the designated workspace folder.