RKiding

Awesome-finance-skills

AI#LLM#Finance#Agent#Sentiment Analysis#Time-series

2,016

// summary

Awesome-finance-skills is a plug-in skill collection that provides financial analysis capabilities for large language models. It supports various professional financial functions such as real-time news aggregation, stock data queries, sentiment analysis, and market forecasting. Users can integrate these skills into mainstream AI Agent frameworks through simple installation to quickly enhance their financial analysis level.

// technical analysis

Awesome Finance Skills is a pluggable financial skill set designed for AI Agents, aiming to empower Large Language Models with professional financial analysis capabilities through a modular approach. By integrating tools such as real-time news, stock data, sentiment analysis, and logic visualization, the project addresses the lack of professional depth and real-time performance in general-purpose AI when handling complex financial market data. Its core architecture supports multiple mainstream Agent frameworks, and through standardized skill interfaces, it allows developers to flexibly embed financial analysis functions into existing automated workflows, achieving full-link coverage from data acquisition to research report generation.

// key highlights

Aggregates over 10 mainstream financial sources including Cailian Press, Wallstreetcn, and Polymarket to ensure the real-time nature and coverage of news data.

Built-in time-series forecasting based on the Kronos model, which can dynamically adjust predictions by incorporating news sentiment to improve the accuracy of market analysis.

Provides logic chain visualization tools that can automatically generate transmission chain diagrams and output Draw.io XML, intuitively displaying market impact logic.

Supports FinBERT and LLM-driven sentiment analysis, quantifying market sentiment into a standard score from -1.0 to +1.0.

Features a professional research report generation process, covering a fully automated workflow from planning, writing, and editing to chart production.

Compatible with various mainstream Agent frameworks such as Antigravity, OpenCode, OpenClaw, and Claude Code, offering extremely high integration flexibility.

// use cases

Real-time financial news aggregation and multi-source hotspot tracking

Market time-series forecasting based on the Kronos model and logical link visualization

Automated professional research report generation and multi-framework Agent integration support

// getting started

Developers can install specific skills with one click using the npx skills add command, or configure them by manually cloning the repository and copying the skill folder to the specified path of the corresponding Agent framework. Once installed, you can ask the Agent questions using natural language, such as requesting an analysis of the impact of a specific market event on the stock market, thereby directly invoking the installed financial analysis skills.