earnings-preview-single

Generate single-company earnings preview reports from transcripts and competitor data.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/Duzhenyang111/stock_money --skill earnings-preview-single-duzhenyang111
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-preview-single
Source: https://github.com/Duzhenyang111/stock_money/tree/main/financial-services-main/plugins/partner-built/spglobal/skills/earnings-preview-beta
Command: npx skills add https://github.com/Duzhenyang111/stock_money --skill earnings-preview-single-duzhenyang111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires kensho-grounding, sp-global-mcp, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of concise 4-5 page equity research earnings previews for a single company, significantly reducing manual labor and enhancing research efficiency.

Core Features & Use Cases

  • Earnings Transcript Analysis: Extracts and analyzes the most recent earnings transcript for key insights.
  • Competitor Analysis: Compares the company with top competitors using financial metrics and stock performance.
  • News, Estimates & Sector Intelligence: Incorporates recent news, analyst estimates, and sector trends into the report.
  • Financial Data Collection: Compiles and analyzes historical and current financial data for in-depth analysis.
  • Verification & Calculations: Ensures data integrity and performs necessary calculations before generating the report.
  • HTML Report Generation: Produces a professional HTML report with integrated charts and tables.
  • Use Case: Imagine you need an earnings preview for a specific company. Use this Skill to generate a comprehensive report, including a competitive comparison, with minimal manual input.

Quick Start

Use the earnings-preview-single skill to generate an earnings preview for company 'XYZ'.

Frequently Asked Questions about earnings-preview-single

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

FAQPage Schema
How do I automate equity research earnings preview generation for a single company?

Automate equity research earnings preview generation by analyzing earnings transcripts, competitor financials, and sector trends to produce a concise 4-5 page HTML report. This process requires Python for data processing and strict data sourcing guidelines.

Do I need Kensho Grounding and S&P Global MCP to generate financial analysis reports?

Yes, you need Kensho Grounding and S&P Global MCP to retrieve earnings transcripts, competitor financials, and analyst estimates for comprehensive financial analysis. These data retrieval dependencies are essential for populating the automated report.

What is the best way to compare company financial metrics with competitors before an earnings call?

The best way to compare company financial metrics with competitors is using automated equity research tools that extract historical data and stock performance via S&P Global MCP. This generates a competitive comparison table within an HTML report.

Can I use Python to format equity research data into an HTML report with charts and tables?

Yes, you can use Python to process financial data and format equity research into a professional HTML report with integrated charts and tables. The workflow verifies data integrity and performs calculations before generating the final output.

What data sources are required to build a comprehensive single-company earnings preview?

Building a comprehensive earnings preview requires data from earnings transcripts, competitor financials, recent news, analyst estimates, and sector trends. Accessing Kensho Grounding and S&P Global MCP automates the collection of these financial data inputs.