Earnings Preview

Pull consensus estimates and build bull/base/bear scenarios for earnings previews.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/AlexZWANG1/Prism --skill earnings-preview-alexzwang1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Earnings Preview
Source: https://github.com/AlexZWANG1/Prism/tree/main/financial-services-plugins/equity-research/skills/earnings-preview
Command: npx skills add https://github.com/AlexZWANG1/Prism --skill earnings-preview-alexzwang1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build pre-earnings analyses with estimate models, scenario frameworks, and key metrics to watch to prepare positioning notes ahead of quarterly earnings.

Core Features & Use Cases

  • Automate consensus collection and metric tracking for earnings previews
  • Build bull/base/bear scenarios and quantify stock move implications
  • Produce concise one-page previews with catalysts and watchlist

Quick Start

Identify the target company and quarter, pull consensus estimates, and generate a concise pre-earnings preview.

Frequently Asked Questions about Earnings Preview

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

FAQPage Schema
What is a pre-earnings analysis with scenario planning?

Build an earnings preview by identifying the target company and quarter, pulling consensus estimates via web search, developing bull/base/bear scenarios, and producing a structured report with catalysts and a trading setup.

How do I build bull and bear scenarios for an upcoming earnings date?

Build bull and bear scenarios by pulling consensus estimates for revenue and EPS, then developing a three-scenario framework with stock-implication analysis and management commentary signals to quantify potential moves.

Can I automate consensus estimate collection and metric tracking for equity research?

Yes. You can automate consensus collection and metric tracking by specifying the target company and reporting quarter, which pulls revenue, EPS, and key metrics via web search to build equity research scenarios.

Does this earnings preview approach work for any reporting quarter and company?

This earnings preview approach works for any target company and reporting quarter where consensus estimates and key metrics are available via web search to develop the bull, base, and bear scenario framework.

What is the best way to structure a one-page earnings preview with catalysts?

The best way to structure a one-page earnings preview is to include a consensus table, key metrics, catalysts, bull/base/bear scenario stock implications, and a trading setup to prepare concise positioning notes.