earnings-analyzer

Analyze earnings reports to classify EPS performance and evaluate revenue and margin trends.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/silva2kand/silva-ide --skill earnings-analyzer
Or copy as Structured Prompt for Agent
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Skill: earnings-analyzer
Source: https://github.com/silva2kand/silva-ide/tree/main/_cowork_os_pack/package/resources/skills/earnings-analyzer
Command: npx skills add https://github.com/silva2kand/silva-ide --skill earnings-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the comprehensive review of earnings reports, helping investors and analysts quickly interpret financial performance indicators and management commentary.

Core Features & Use Cases

  • Earnings Data Analysis: Classifies EPS beats/misses, examines revenue and margin trends, and compares guidance against analyst consensus.
  • Financial Quality Assessment: Evaluates earnings quality through accruals, cash flow, and red flags like inventory buildup or recurring charges.
  • Use Case: An investor wants to understand a company's quarterly earnings performance and future outlook; this Skill provides structured insights into the company's financial health and management tone.

Quick Start

Use the earnings-analyzer to analyze a company's latest quarterly earnings report and assess its financial quality.

Frequently Asked Questions about earnings-analyzer

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

FAQPage Schema
How do I analyze quarterly earnings reports for investment decisions?

Analyze quarterly earnings reports by classifying EPS beats or misses, evaluating revenue and margin trends, and assessing earnings quality through cash flow, accruals, and management commentary to inform investment decisions.

What is earnings quality assessment in financial analysis?

Earnings quality assessment evaluates financial health by examining accruals, cash flow alignment, and red flags like inventory buildup or recurring charges extracted from structured financial data and management commentary.

How do I evaluate management commentary and guidance against analyst consensus?

Evaluate management commentary and guidance by comparing forward-looking statements provided in earnings reports against analyst consensus estimates to identify divergences in revenue trends and future outlook.

Can I classify EPS beats and misses using automated financial analysis?

Yes, you can classify EPS beats and misses by feeding structured quarterly and annual earnings report data into an automated financial analysis process that examines quantitative indicators and management tone.

What financial data is needed to assess revenue and margin trends?

Assessing revenue and margin trends requires structured quarterly and annual earnings report data containing quantitative financial indicators and qualitative management commentary for comprehensive company performance reviews.