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DataPython

Earnings Review

by xbtlin

Earnings Review is a Data skill for Claude Code, published by xbtlin in ai-berkshire.

15.5K stars2.3K forkson xbtlin/ai-berkshireAdded 2026/08/14Repository updated 2026/08/14
View source on GitHubDownload repo ZIP
aiai-agentanthropicberkshire-hathawaycharlie-mungerchina-stockclaudeclaude-codefinancial-analysisfintechfundamental-analysisinvestmentinvestment-researchllmmcpportfolio-managementstock-analysisstock-marketvalue-investingwarren-buffett
Install in seconds
Install Earnings Review
Copy Earnings Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/xbtlin/ai-berkshire/tree/main/codex-skills/earnings-review ~/.claude/skills/earnings-review

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xbtlin/ai-berkshire.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
codex-skills/earnings-review/SKILL.md in xbtlin/ai-berkshire
Installs to
~/.claude/skills/earnings-review
Collection
One of 21 skills cataloged from this repository
Category
Data — 668 skills

What Earnings Review does

Earnings Review reads original earnings reports, call transcripts, and footnotes to extract core financial data, analyze management tone, and surface hidden risks. Use it when evaluating a company's latest quarterly or annual results.

Earnings Review is cataloged under Data on DirSkills. Earnings Review comes from a repository tagged ai, ai-agent, anthropic, berkshire-hathaway and charlie-munger.

Frequently asked about Earnings Review

  • What else does xbtlin publish alongside Earnings Review?

    Earnings Review is one of 21 skills that DirSkills catalogs from xbtlin/ai-berkshire, the repository it ships in. Its siblings there include Bottleneck Hunter, Buffett Value Investing Checklist and Deep Company Series. Each one is a separate skill with its own page in this directory, installs the same way Earnings Review does, and is maintained by xbtlin in that same repository. The rest of the collection is listed on the xbtlin/ai-berkshire page.

  • How does Earnings Review compare to other Data skills?

    Earnings Review ranks #102 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Earnings Review against them. Open each page to compare what they document and how they install.

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