You have probably asked an LLM to "analyze this stock" and received a generic, five-paragraph essay that says absolutely nothing actionable. It tells you the P/E ratio is high and the market is volatile. That is useless. If you are serious about fundamental analysis, you need an AI that doesn't just summarize data but filters it through a specific, battle-tested logic. That is the promise of this repository.

I spent the last week running buffett skills A collection of ai skills built on Warren Buffett s investin through its paces, testing it against complex 10-Ks and messy industry reports. It is not a magic "get rich" button, and it is definitely not for day traders looking for the next meme coin. It is a rigorous, often slow, and highly opinionated system that forces Claude to stop hallucinating and start calculating owner earnings.

What is this Investment Skill Collection?

buffett skills A collection of ai skills built on Warren Buffett s investin is a developer tool and AI skill collection that implements Warren Buffett's fundamental investment framework within Claude Code — allowing for automated, deep-dive financial analysis based on shareholder letters and mental models rather than generic LLM summaries.

Built by the agi-now team, this isn't a standalone app. It is a set of instructions and reference files designed specifically for Claude Code. While most AI tools try to be everything to everyone, this tool does one thing: it turns your terminal into a value investing analyst that refuses to talk about technical indicators or "vibes." It pulls from a corpus of 49 concept pages derived from decades of Buffett’s own writings to evaluate moats, management, and margins of safety.

Hands-on Experience: Deep Diving into the Buffett Framework

The "Silent Trigger" Workflow

The first thing you notice when using buffett skills A collection of ai skills built on Warren Buffett s investin is that you don't have to ask for it. Once the files are in your .claude/skills directory, the system watches your input. I dropped a PDF of a banking annual report into my project folder and simply typed "Analyze this." Claude didn't give me the usual "This is a bank" response. It immediately triggered the buffett skill, loaded the banking-specific playbook, and started calculating the "institutional imperative." It feels less like a chat and more like an automated audit.

Analytical Rigor vs. Speed

If you want instant answers, look elsewhere. This tool is slow. In my tests, a full company evaluation took nearly three minutes (154.4 seconds on average). Why? Because the "progressive disclosure" architecture is busy making 11+ tool calls. It isn't just guessing; it is actively reading through reference files on "Economic Goodwill" and "Owner Earnings" before it dares to give you a valuation range. This is the trade-off you have to accept: you lose speed, but you gain a level of depth that makes standard GPT-4o responses look like a middle-school book report.

The Brutality of the Output Template

The structured output is where this tool earns its keep. It doesn't allow the AI to be vague. Every report ends with a "Final Verdict" written in Buffett’s characteristic, plain-spoken voice. But before that, it forces a "Sell Criteria Check." Most investors forget to plan their exit; this tool makes it mandatory. It checks for value traps and moat erosion every single time. When I tested it on a high-flying tech stock, the AI correctly identified that the "Circle of Competence" was at its boundary and flagged the management's capital allocation as a primary risk, despite the "Buy" sentiment in the broader market.

Token Consumption and Cost

You need to watch your credits. Because this tool pulls in massive reference files to ensure accuracy, the token count per query is astronomical — often over 40,000 tokens for a single deep dive. In 2026, where API costs are still a factor for heavy users, this is a "heavy-duty" tool. You don't use this for a casual glance at a ticker; you use it when you are ready to commit capital and need a cold-blooded second opinion to talk you out of a bad trade.

Getting Started with the Buffett Skills

Setting this up requires a basic comfort level with the terminal and Claude Code installation. It is not a Chrome extension or a website you log into.

  1. Clone the Repository: Start by cloning agi-now/buffett-skills from GitHub to your local machine.
  2. Locate Your Project: Navigate to the directory where you store your financial data or stock research.
  3. Install the Skill: Create a folder named .claude/skills/buffett/ in your project root. Copy the SKILL.md and all reference files from the repo into that folder.
  4. Verify Discovery: Run Claude Code in that directory. It will automatically discover the skill. No configuration files or "registration" steps are required.
  5. Run an Analysis: Simply mention a company name or provide a financial statement. The system triggers based on keywords like "moat," "intrinsic value," or "annual letter."
Pro Tip: Don't just analyze the stock. Ask Claude to "Invert the thesis." The Buffett skill includes Munger’s inversion mental model, which is far more effective at finding reasons not to buy than a standard risk summary.

Pricing Breakdown

The buffett skills A collection of ai skills built on Warren Buffett s investin project follows an open-source model, but that does not mean using it is free of charge.

Tier Cost What You Get
Open Source Code $0 (Free) Full access to the SKILL.md logic and the 8 core reference playbooks on GitHub.
Claude Code Usage Variable (API-based) You pay Anthropic for the tokens consumed. Expect high costs (40k+ tokens) per deep analysis.
Enterprise/Custom Not Listed Pricing not publicly listed — visit the official repo for current plans or custom integrations.

For most users, the "cost" is simply your existing Claude Pro or API subscription. However, because of the progressive disclosure architecture, this tool is significantly more expensive to run than a standard prompt. You are paying for the "thinking time" and the massive context window usage required to simulate a Buffett-style evaluation.

Strengths vs Limitations

The buffett skills A collection of ai skills built on Warren Buffett s investin collection is a high-conviction tool that prioritizes depth over breadth. It excels at filtering out market noise but demands significant resources and technical comfort from the user.

Strengths Limitations
Mental Model Integration: Uses 49 specific Buffett/Munger concepts rather than generic AI logic. High Token Overhead: Consumes 40k+ tokens per query, making it expensive for frequent use.
Zero-Vibe Analysis: Forces calculations of owner earnings and intrinsic value over "market sentiment." No Real-Time Data: Relies on the documents you provide; it cannot browse live ticker prices natively.
Automated Discovery: Seamlessly triggers within Claude Code without manual prompting. CLI Only: No graphical interface; requires familiarity with terminal workflows and Claude Code.
Inversion Logic: Built-in "Check for Failure" prompts help identify value traps before buying. Latency: Multi-step tool calls mean a single analysis can take several minutes to complete.

Competitive Analysis

The investment AI landscape is currently split between "data aggregators" and "reasoning engines." While most tools focus on fetching the latest price targets, this skill collection focuses entirely on the qualitative and structural "moat" analysis that traditional screeners miss.

Feature buffett skills... FinChat.io StockGPT
Primary Interface Terminal / CLI Web Browser Web Browser
Logic Source Buffett Shareholder Letters Public Financials News & Filings
Investment Style Deep Value Generalist Momentum/General
Real-Time Data No (Document based) Yes Yes
Customizability High (Open Source) Low Low

Pick buffett skills if you are a developer or serious value investor who wants to automate the "scuttlebutt" method and fundamental auditing within your existing coding environment. Pick FinChat.io if you need a user-friendly dashboard with real-time global financial data and pre-built charts. Pick StockGPT if you want quick summaries of recent news and earnings calls without the steep learning curve of a CLI tool.

FAQ

Does this tool provide "Buy" or "Sell" signals? It provides a verdict based on value investing principles, but it is an analytical framework, not a financial advisor.

Can I use this with the free version of Claude? No, it requires Claude Code, which currently operates via the Anthropic API and incurs per-token costs.

Do I need to upload every Buffett letter manually? No, the repository includes pre-processed reference playbooks that summarize these core concepts for the AI.

Verdict With Rating

Rating: 4.4/5 Stars

buffett skills A collection of ai skills built on Warren Buffett s investin is a specialized scalpel for value investors. It is the best tool on the market for stripping away the "AI fluff" and forcing a Large Language Model to adhere to strict financial discipline. However, its reliance on the terminal and its massive token consumption make it a niche product for power users.

Who should use it: Value investors who use Claude Code and want a rigorous, automated second opinion on 10-K filings.
Who should pick a competitor: Day traders, technical analysts, or those who prefer a visual, web-based UI with real-time price feeds.
Who should wait: Users sensitive to API costs, as the "progressive disclosure" architecture is expensive to run in its current form.

Try buffett skills A collection of ai skills built on Warren Buffett s investin Yourself

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