UZI-Skill is a stock analysis engine that provides deep fundamental and technical analysis for individual securities across Chinese, Hong Kong, and US markets.
The tool addresses the challenge of evaluating individual stocks by synthesizing analysis from multiple perspectives. It operates by aggregating insights from a panel of 66 investment strategists representing 9 different trading schools, analyzing 22 dimensions of data, and applying 22 institutional-grade analytical methods. The system generates detailed reports that examine stock behavior through varied analytical lenses, from value investing to technical analysis to quantitative rule-based approaches.
Developers and investors should adopt this tool if they need comprehensive single-stock analysis rather than fund or portfolio evaluation. The project explicitly positions itself as complementary to a separate tool focused on active fund manager behavior analysis. The tool integrates directly into multiple AI agent platforms including Claude Code, Cursor, Gemini CLI, and others, as well as functioning as a standalone command-line utility. Installation is straightforward across these environments, with platform-specific setup instructions provided.
Development activity shows consistent refinement of the user-facing analysis output, with recent updates focused on frontend display fixes and visual improvements. The project maintains detailed documentation of its evolution through a changelog and provides contributor guidelines. The tool supports multiple integration pathways and maintains compatibility across different agent frameworks, indicating ongoing attention to accessibility and usability across diverse deployment scenarios.
