Earnings Preview

Aggregate consensus estimates and build scenario-based pre-earnings research.

Updated Jan 25, 2026
One-click install
npx skills add https://github.com/xfs96192/claude-config --skill earnings-preview-xfs96192
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Earnings Preview
Source: https://github.com/xfs96192/claude-config/tree/main/plugins/cache/financial-services-plugins/equity-research/0.1.0/skills/earnings-preview
Command: npx skills add https://github.com/xfs96192/claude-config --skill earnings-preview-xfs96192

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Forecast pre-earnings research by aligning consensus estimates with actionable scenarios, helping analysts prepare positioning notes before quarterly results.

Core Features & Use Cases

  • Gather context: identify company and reporting quarter, pull consensus estimates, and determine earnings date and time.
  • Metric framework: track revenue vs. consensus, EPS, margins, free cash flow, and sector-specific operational metrics.
  • Scenario analysis: build bull/base/bear scenarios with expected drivers and stock reactions.
  • Output & catalysts: produce a one-page earnings preview with consensus table, key metrics, catalyst checklist, and trading setup.

Quick Start

Provide the target company and quarter to generate a pre-earnings preview.

Frequently Asked Questions about Earnings Preview

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

FAQPage Schema
How do I prepare a pre-earnings stock analysis using consensus estimates?

Pre-earnings stock analysis aggregates consensus estimates and builds bull, base, and bear scenarios to help you prepare positioning notes before quarterly results. You provide the company and quarter to generate a one-page preview with key metrics and catalysts.

What metrics should I track for an earnings preview?

An earnings preview tracks revenue versus consensus, EPS, margins, free cash flow, and sector-specific operational metrics. This metric framework aligns estimates with actionable scenarios to frame expected stock reactions.

How do I build scenario analysis for upcoming quarterly earnings?

Scenario analysis for quarterly earnings builds bull, base, and bear cases with expected drivers and stock reactions. It requires updated consensus estimates, company context, and the earnings date to generate actionable trading setups.

Can I generate a one-page earnings preview for equity research workflows?

Yes, you can generate a one-page earnings preview for equity research workflows. The output includes a consensus table, key metrics framework, catalyst checklist, and trading setup to support pre-earnings positioning notes across sectors.

What context do I need to provide for pre-earnings scenario analysis?

Pre-earnings scenario analysis requires the target company, reporting quarter, updated consensus estimates, and the earnings date and time. Providing this context allows the framework to gather metrics and build actionable scenarios.

Does pre-earnings analysis work for tracking catalysts across different sectors?

Pre-earnings analysis applies to equity research workflows across sectors by tracking sector-specific operational metrics and catalysts. It frames revenue, EPS, and margin expectations into a consolidated preview with a catalyst checklist.