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AI Berkshire vs Frontend Slides

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

AI Berkshire

Open source · MIT

A set of AI prompt-based value investing research skills for Claude Code and Codex.

Frontend Slides

Open source · MIT

A Claude Code skill that builds single-file HTML slide decks, or converts PowerPoint files to web slides.

The short answer

Choose AI Berkshire if you need…

  • Chinese-speaking investors who want a structured value investing checklist applied to specific companies
  • People already using Claude Code or Codex who want repeatable research templates
  • Analysts who want to compare several companies against the same criteria
  • Readers who want to see how an AI-driven research process is organized

Choose Frontend Slides if you need…

  • Non-designers who want good-looking web presentations without writing CSS or JavaScript
  • People who already use Claude Code and want to make slides from a chat
  • Users who have an existing .pptx and want to move it to a web format
  • Developers who want slides they can edit as plain HTML files

Side-by-side

AI BerkshireFrontend Slides
TypeAI model / agentAI model / agent
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars17k31.7k
Setup difficultyIntermediateBeginner
How you get itInstall with a package managerClone and build from source
Main languageHTMLJavaScript
Last code update5 days ago5 months ago

What each one is

AI Berkshire

AI Berkshire is a collection of investment research "skills" (structured prompts and workflows) that run inside Claude Code or Codex. It is built around the investing methods of Buffett, Munger, Duan Yongping and Li Lu, and includes multi-agent workflows where several agents research a company in parallel and then a lead agent combines their conclusions. The README is largely in Chinese and focuses on Chinese and US stocks.

Frontend Slides

Frontend Slides is a skill (a set of instructions and support files) for coding agents such as Claude Code that creates presentations as HTML pages. It asks about your content, shows a few visual style previews for you to pick from, and then generates the deck. It can also convert an existing PowerPoint file into a web slideshow while keeping images and text.

Best for

AI Berkshire

  • Chinese-speaking investors who want a structured value investing checklist applied to specific companies
  • People already using Claude Code or Codex who want repeatable research templates
  • Analysts who want to compare several companies against the same criteria
  • Readers who want to see how an AI-driven research process is organized

Frontend Slides

  • Non-designers who want good-looking web presentations without writing CSS or JavaScript
  • People who already use Claude Code and want to make slides from a chat
  • Users who have an existing .pptx and want to move it to a web format
  • Developers who want slides they can edit as plain HTML files

Strengths

AI Berkshire

  • Gives the same research structure every time, so outputs are easier to compare across companies
  • Organizes 22 named skills by task, such as deep research, earnings review, and portfolio management
  • Open source under MIT with a large public following and a published report archive

Frontend Slides

  • Output is single HTML files with inline CSS and JavaScript, with no npm or build tools needed
  • Style discovery shows visual previews, so you do not have to describe your taste in words
  • MIT licensed and free to inspect and modify

Not ideal for

AI Berkshire

  • Anyone wanting guaranteed or verified investment returns: the README's performance figures are self-reported and it warns that past returns do not predict future ones
  • Beginners without an AI coding client subscription, since the skills depend on Claude Code or Codex
  • People who need a licensed financial advisor's personal recommendation; the project is a research aid, not advice

Frontend Slides

  • Users who need a visual drag-and-drop editor, since the README describes a chat-driven workflow
  • People without a coding agent installed, because the skill is built to run inside one
  • Teams that need slides edited collaboratively in the browser, which the README does not mention

Trade-offs

AI Berkshire

  • Output quality depends on the underlying model and on data sources the README does not fully describe; the README itself notes higher-stakes analysis benefits from stronger models
  • The track-record claims are shown as screenshots and a table, and cannot be independently verified from the repository alone
  • Documentation is mainly in Chinese, with the main market focus on Chinese and US equities

Frontend Slides

  • Depends on a coding agent such as Claude Code; the README says other agents may not use the same command surface
  • The README is truncated, so details of the bold template pack and some setup steps are not fully verified here

Getting started

AI Berkshire

Install Claude Code

npm install -g @anthropic-ai/claude-code

Install Codex via npm

npm install -g @openai/codex
Step-by-step guide: how to use AI Berkshire

Frontend Slides

Install via Claude Code marketplace (run first)

/plugin marketplace add https://github.com/zarazhangrui/frontend-slides

Install the plugin (run second, in a separate message)

/plugin install frontend-slides@frontend-slides
Step-by-step guide: how to use Frontend Slides

Frequently asked questions

What is the difference between AI Berkshire and Frontend Slides?

AI Berkshire: A set of AI prompt-based value investing research skills for Claude Code and Codex. Frontend Slides: A Claude Code skill that builds single-file HTML slide decks, or converts PowerPoint files to web slides. AI Berkshire suits chinese-speaking investors who want a structured value investing checklist applied to specific companies, while Frontend Slides suits non-designers who want good-looking web presentations without writing css or javascript.

Are AI Berkshire and Frontend Slides free?

AI Berkshire: Free and open source. Frontend Slides: Free and open source.

Which is easier to set up, AI Berkshire or Frontend Slides?

Frontend Slides is easier to get started with (rated beginner); AI Berkshire is rated intermediate and usually needs more setup.

Is AI Berkshire or Frontend Slides more popular?

Frontend Slides has more GitHub stars (31.7k) than AI Berkshire (17k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to AI Berkshire and Frontend Slides?

Other options people compare them with include Hermes Agent, Vibe-Trading, watermarks-remover, career-ops, GenericAgent.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.