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Earnings Analysis

anthropics/financial-services
2.7k installs34.1k stars
Summary

Generates 8-12 page equity research earnings updates in the Goldman/JPM institutional format. You give it a company and quarter, it produces a 3,000-5,000 word DOCX with beat/miss analysis, updated estimates, revised thesis, and 8-12 charts. The entire workflow is templated out, from data collection to chart specs to page-by-page report structure. It's built for speed over comprehensiveness, assumes readers already know the company, and hammers on citation discipline with clickable hyperlinks to 10-Qs and transcripts. Has verification steps to avoid using stale training data. Good if you need to ship an earnings take in 24-48 hours and want the formatting decisions handled.

Install to Claude Code

npx -y skills add anthropics/financial-services --skill earnings-analysis --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
inference shell
inference shell
create and run specialised agents in minutes
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CodeHealth MCP ServerCodeHealth MCP Server
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Categories
Testing & QACode Review & QualityData Science & MLFinance & Trading
First SeenJun 3, 2026
View on GitHub

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