AI Berkshire
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co
Star Growth
Overview
AI Berkshire is a structured skill set for Claude Code and Codex that systemizes the methodologies of four value investing masters. It implements multi-agent adversarial analysis to produce professional-grade investment research with forced conclusions and anti-bias mechanisms. The framework includes tools for financial data verification and structured reporting.
Deep Analysis
Forces multi-agent adversarial analysis with four distinct master methodologies instead of single-prompt AI responses.
⚡ Capabilities
- • Multi-agent adversarial analysis
- • Structured investment research workflows
- • Financial data verification
- • Forced decision output (pass/fail/grey)
- • Anti-bias and consensus-checking mechanisms
🔗 Integrations
✓ Best For
- ✓ Structuring AI-driven investment research
- ✓ Implementing multi-perspective agent analysis
- ✓ Building disciplined decision frameworks for AI agents
✗ Not Ideal For
- ✗ End-user investment advice
- ✗ Generic chatbot applications
- ✗ Non-AI financial tools
⚠ Known Limitations
- ⚠ Requires Claude Code/Codex access
- ⚠ Specialized for value investing methodology
- ⚠ GitHub-based framework requiring setup
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