#21 · Primary category: Financial Data & Analytics Platforms

UZI-Skill

UZI Skills: 66 investment gurus, 22-dimensional data, 180 quantitative rules, 17 institutional analysis methods for A-shares, Hong Kong, and US stocks.

Project last updated:08/27/26

GitHub Stars

6.6K

Forks

935

Contributors

6

License

MIT

Why we included this project

This one is aimed at investors who trade A-shares, Hong Kong, or US-listed names and already work inside an AI coding agent. You install it as a skill into Claude Code, Codex, Cursor, or Gemini CLI, then type a plain command and get a structured deep dive on a single ticker. It combines 22 data dimensions with a large set of quantitative screening rules and runs the stock past a panel of 66 investor personas with deliberately different styles, so the report reads like a structured debate rather than one model's confident guess. There are also institutional-style checks on board, including DCF, comps, LBO, earnings previews, and hot-money trap detection. For traders who want reproducible, locally run research without extra API keys, this is a solid alternative to a hosted chat answer.

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