Awesome Finance Skills is a collection of plug-and-play agent skills that extend large language models with financial analysis capabilities.
The project addresses the challenge of integrating financial data and analysis into AI agents by providing a modular skill set covering real-time news aggregation from multiple sources, stock market data retrieval, sentiment analysis, time-series forecasting with news-aware adjustments, and visualization of market transmission chains. Each skill is designed as a self-contained module that can be installed and used independently, allowing developers to compose financial reasoning capabilities into their agents without building integrations from scratch.
Developers should adopt this tool if they are building AI agents that need to perform financial analysis across multiple markets including A-shares, Hong Kong stocks, and US equities. The project suits teams working with agent frameworks such as Antigravity, OpenCode, OpenClaw, or Claude Code, as it provides installation paths and integration guidance for these platforms. The skill collection includes capabilities for news analysis, stock data queries, sentiment scoring, market prediction, signal tracking, professional report generation, and web search with local retrieval-augmented generation. A live demonstration is available to evaluate the tool's capabilities before integration.
The project maintains active development with regular updates to its skill offerings and integration documentation. The codebase includes comprehensive examples showing how to query multiple data sources and compose skills together. Documentation is provided in both English and Chinese, reflecting support for both Western and Chinese financial markets. The project references a related autonomous financial analysis framework for teams seeking a more complete end-to-end solution.
