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Earnings Preview

Synthesize consensus estimates and operational metrics into scenario-based earnings previews.

1|Updated Mar 5, 2026
Search Tags:#financial modeling#stock analysis#market intelligence#earnings#equity research
One-click install
npx skills add https://github.com/smrik/ai-fund --skill earnings-preview-smrik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Earnings Preview
Source: https://github.com/smrik/ai-fund/tree/main/skills/equity-research/skills/earnings-preview
Command: npx skills add https://github.com/smrik/ai-fund --skill earnings-preview-smrik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of information overload during earnings season by providing a structured, repeatable framework to synthesize consensus estimates, operational metrics, and market expectations.

Core Features & Use Cases

  • Structured Frameworks: Generates bull, base, and bear scenarios with clear stock price implications.
  • Catalyst Identification: Pinpoints the specific metrics and narrative shifts that drive market reactions.
  • Use Case: Use this before a company reports to organize your research into a concise one-page briefing that highlights key financial and operational metrics to watch.

Quick Start

Use the earnings preview skill to generate a research brief for Apple's upcoming Q3 earnings report.

Frequently Asked Questions about Earnings Preview

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

FAQPage Schema
How do I forecast stock reactions during quarterly earnings events?▼

Forecast stock reactions during quarterly earnings by synthesizing financial consensus data and operational metrics into scenario-based analysis. This approach calibrates market expectations using historical earnings performance records to project outcomes.

What is the best way to structure equity research before an earnings report?▼

Structure equity research before an earnings report by generating a concise one-page briefing. This framework highlights key financial and operational metrics to watch, organizing information overload into a clear research brief.

How do I build bull, base, and bear scenarios for stock analysis?▼

Build bull, base, and bear scenarios for stock analysis by mapping financial consensus data to clear stock price implications. This scenario-based analysis identifies narrative shifts that drive market reactions during earnings season.

How do I identify catalysts for equity research workflows?▼

Identify catalysts for equity research workflows by pinpointing specific operational metrics and narrative shifts that drive market reactions. This creates a structured catalyst checklist for monitoring earnings events.

Do I need market data sources to generate an earnings preview?▼

You need market data sources to generate an earnings preview. The framework requires integration with market data sources and historical earnings performance records to calibrate expectations and synthesize consensus estimates.

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