# Where to Find the Claude Code Behavior Guide for AI Berkshire > Find the Claude Code behavior guide for AI Berkshire in the CLAUDE.md file. Learn how Claude executes investment-research Skills at the repository root. - Repository: [Xbt Lin/ai-berkshire](https://github.com/xbtlin/ai-berkshire) - Tags: how-to-guide - Published: 2026-07-10 --- **The Claude Code behavior guide for AI Berkshire is located in the [`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md) file at the repository root, serving as the definitive reference for how Claude executes investment-research Skills.** The `xbtlin/ai-berkshire` repository implements a Claude‑based investment research system that relies on structured behavior instructions to generate consistent, objective financial analysis. Understanding where to find and how to interpret the Claude Code behavior guide is essential for anyone looking to invoke the project's Skills or extend its capabilities. ## Location and Purpose of the Claude Code Behavior Guide The definitive behavior guide for AI Berkshire is the **[`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md)** file, located at the root of the repository ([`./CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/./CLAUDE.md)). This markdown document functions as the single source of truth for Claude Code‑specific behavior, containing the complete set of instructions, conventions, and principles that Claude follows when executing investment‑research Skills. The guide dictates how Claude should handle specific commands like `/investment-team`, `/industry-research`, and `/portfolio-review`, ensuring that every generated report adheres to the project's "four masters" investment framework and maintains mandatory objectivity. ### The CLAUDE.md File Structure The behavior guide is organized into discrete sections that cover both high‑level philosophy and implementation details: - **Project Overview** — Describes the Claude‑based Skill collection and the "four masters" investment framework - **Project Structure** — Defines the directory layout including `skills/`, `tools/`, `reports/`, and `assets/` - **Report Naming Conventions** — Specifies file‑naming rules for each Skill output - **Investment‑Research Core Principles** — Mandates objectivity, data‑first approaches, and style guidelines - **GitHub Operations** — Documents recommended clone paths, remote URLs, and commit workflows - **Common Commands** — Provides Bash snippets for pushing reports to GitHub - **Important Notes** — Covers manual market‑cap verification, currency handling, and usage of [`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py) ## Key Conventions Defined in the Guide The Claude Code behavior guide for AI Berkshire establishes strict protocols that govern how Claude interacts with the codebase and formats its outputs. ### Skill Invocation and Directory Structure When you invoke a Skill using Claude Code, the behavior guide in [`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md) directs Claude to create structured output directories under `reports/`. For example, analyzing a company like Tencent follows a specific directory creation pattern: ```markdown # Example: Invoking the investment-team Skill (Claude Code) /investment-team 腾讯 ``` Upon receiving this command, Claude creates a directory structure under `reports/腾讯/` and populates the four master‑view markdown files plus a final report, exactly as dictated by Section 4 of the behavior guide. ### Financial Rigor Requirements The guide mandates the use of **[`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py)** for precise metric computation. This Python utility, referenced throughout [`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md), ensures that calculations involving market capitalization, currency conversion, and financial ratios meet the project's strict accuracy standards before being committed to any report. ## Practical Usage Examples Working with the AI Berkshire Claude Code behavior guide requires understanding both the Skill invocation syntax and the repository workflow. ### Invoking Investment-Research Skills The behavior guide specifies that Skills must be invoked using forward‑slash commands followed by the target company or sector. Claude interprets these commands according to the canonical definitions stored in `skills/*.md`: ```markdown # Example: Industry research command pattern /industry-research 新能源汽车 ``` Claude references the Skill definitions in the `skills/` directory to determine the required report sections, analysis depth, and mandatory data points for the specified industry. ### Git Workflow and Commit Conventions Section 7 of the behavior guide outlines specific Git operations that maintain repository integrity. The workflow requires Chinese commit messages and strict synchronization protocols: ```bash # Example: Adding a new report and pushing it (from the "Common Commands" section) cd ~/ai-berkshire git add reports/腾讯/最终报告.md git commit -m "添加腾讯最终报告" git pull --rebase origin main # ensure up‑to‑date git push origin main ``` This workflow ensures that the repository stays in sync and that commit history follows the project's linguistic conventions as defined in the Claude Code behavior guide. ## Supporting Files and Tools While [`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md) serves as the primary behavior guide, several adjacent files provide critical context and functionality: - **[`README_EN.md`](https://github.com/xbtlin/ai-berkshire/blob/main/README_EN.md)** — English‑language overview of the repository for international contributors - **`skills/*.md`** — Canonical Skill definitions that Claude reads to generate reports, located in the `skills/` directory - **[`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py)** — Financial‑calculation utility referenced in the guide for precise metric computation - **[`scripts/sync-codex-skills.py`](https://github.com/xbtlin/ai-berkshire/blob/main/scripts/sync-codex-skills.py)** — Helper script demonstrating how Skill files are regenerated, useful for understanding the project's meta‑programming approach ## Summary - The **Claude Code behavior guide for AI Berkshire** is located at **[`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md)** in the repository root. - The guide defines how Claude executes **investment‑research Skills** like `investment-team` and `industry-research`. - Key sections cover **project structure**, **report naming conventions**, and **GitHub operations**. - The **[`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py)** utility is mandated for all financial calculations. - **Chinese commit messages** and specific Git workflows are required when pushing reports. ## Frequently Asked Questions ### Where exactly is the Claude Code behavior guide file located? The behavior guide is located at the root of the `xbtlin/ai-berkshire` repository in a file named **[`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md)**. You can view it directly at `https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md`. This file contains all instructions, conventions, and principles that Claude Code follows when operating within the project. ### What types of commands does the behavior guide define? The guide defines **Skill invocation commands** such as `/investment-team`, `/industry-research`, and `/portfolio-review`. These commands trigger Claude to create structured directories under `reports/` and generate markdown files following specific templates defined in the `skills/` directory, ensuring consistent analysis format across all investment research. ### Why does the guide require using [`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py)? The **[`tools/financial_rigor.py`](https://github.com/xbtlin/ai-berkshire/blob/main/tools/financial_rigor.py)** utility is required to ensure **financial calculation accuracy** and data integrity. The behavior guide mandates this tool for computing precise metrics like market capitalization and currency conversions, preventing manual calculation errors and maintaining the objective, data‑first standards required by the Investment‑Research Core Principles section of [`CLAUDE.md`](https://github.com/xbtlin/ai-berkshire/blob/main/CLAUDE.md). ### How does the guide specify Git operations should be performed? The behavior guide specifies that Git operations must follow a **rebase workflow** with Chinese commit messages. When pushing new reports, users must pull with `--rebase` to ensure the repository remains up‑to‑date before pushing, and write commit messages in Chinese (e.g., `"添加腾讯最终报告"`) to align with the project's localization requirements.