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earnings-preview

Consolidate consensus estimates and metrics into bull/base/bear scenarios for earnings previews.

1.6k|270|Updated Jan 18, 2026
Search Tags:#earnings#scenario-analysis#investing-insights#stock-research#financial-metrics#pre-earnings#consensus-estimates
One-click install
npx skills add https://github.com/ginlix-ai/LangAlpha --skill earnings-preview
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-preview
Source: https://github.com/ginlix-ai/LangAlpha/tree/main/skills/earnings-preview
Command: npx skills add https://github.com/ginlix-ai/LangAlpha --skill earnings-preview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps investment teams prepare for quarterly earnings by assembling consensus estimates, key metrics to watch, and structured scenario plans, enabling faster, more informed positioning ahead of prints.

Core Features & Use Cases

  • Gather and synthesize consensus estimates (revenue, EPS) for a named company and reporting quarter.
  • Build a 3-scenario framework (bull/base/bear) with associated drivers, expected stock move, and risk signals.
  • Produce a concise, one-page output that highlights the metrics to watch, narrative catalysts, and recommended positioning strategies.
  • Use case: before a quarterly earnings release, generate a prep document that guides investment theses, risk assessment, and trading ideas.

Quick Start

Generate a pre-earnings preview for a company and quarter, including consensus estimates, key metrics, scenarios, and a catalyst checklist.

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 analysis with consensus estimates and scenario planning?▼

You can build a pre-earnings preview by gathering consensus estimates for revenue and EPS, computing key financial metrics, constructing bull/base/bear scenarios with expected stock moves, and exporting a structured one-page deliverable.

What financial metrics should I watch before a quarterly earnings release?▼

Before a quarterly earnings release, focus on revenue, EPS, and margins. A structured earnings preview highlights these key financial metrics alongside scenario drivers and risk signals to guide your investment thesis.

Can I generate bull, base, and bear scenarios for stock research before earnings?▼

Yes, you can construct a three-scenario framework featuring bull, base, and bear outcomes. Each scenario includes specific drivers, expected stock moves, and risk signals to guide pre-earnings positioning and risk assessment.

Does this earnings preview tool require specific data inputs for consensus estimates?▼

The earnings preview requires a named company and reporting quarter to gather and synthesize consensus estimates. It computes revenue and EPS metrics to construct scenarios without needing external data dependencies.

What is the best way to structure an earnings prep document for investment teams?▼

The best way to structure an earnings prep document is a concise one-page output. This deliverable highlights key metrics to watch, narrative catalysts, bull/base/bear scenario plans, and recommended positioning strategies for investment teams.

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