🧠 Awesome Finance Skills

Transform your AI agent into a Wall Street analyst in seconds.

A plug-and-play skill collection that empowers LLMs with real-time news, stock data, sentiment analysis, logic visualization, and market prediction capabilities.

🚀 New: DeepEar Live Demo (Free Lite Version) is now online: https://deepear.vercel.app/

English | 中文

🇬🇧 English

✨ Highlights

📰 Real-time News & Trends	📊 Logic Chain Visualization	🔮 AI-Powered Prediction

Aggregate hot news from 10+ sources (Cailian, WSJ, Weibo, Polymarket...)	Auto-generate transmission chain diagrams explaining market impact	Kronos model forecasts with news-aware adjustments

🚀 Quick Start

Option 1: One-Step Install (Recommended)

You can now install individual skills directly using npx skills:

# Install a specific skill (e.g., alphaear-news)
npx skills add RKiding/Awesome-finance-skills@alphaear-news

# Or search for all the skills and then select one
npx skills find "alphaear"

Option 2: Manual Installation

# Clone the repository
git clone https://github.com/RKiding/Awesome-finance-skills.git

# Copy skills to your agent (example for OpenCode)
cp -r Awesome-finance-skills/skills/* ~/.config/opencode/skills/

That's it! Your agent now understands finance. Try asking:

"分析贵金属跳水对A股的影响"
"Analyze how the gold crash affects A-shares"

🔗 Live Demo: See it in action →

📦 Included Skills

Skill	Description	Key Feature
alphaear-news	Real-time financial news & trends	10+ sources, Polymarket data
alphaear-stock	A-Share, HK & US stock data	Ticker search, OHLCV, Fundamentals
alphaear-sentiment	FinBERT / LLM sentiment analysis	Score: -1.0 ~ +1.0
alphaear-predictor	Kronos time-series forecasting	News-aware adjustments
alphaear-signal-tracker	Investment signal evolution	Strengthen / Weaken / Falsify
alphaear-logic-visualizer	Transmission chain diagrams	Draw.io XML output
alphaear-reporter	Professional report generation	Plan → Write → Edit → Chart
alphaear-search	Web search & local RAG	Jina / DDG / Baidu

🔧 Integration Guide

Awesome Finance Skills supports multiple agent frameworks:

Framework	Scope	Installation Path
Antigravity	Workspace	`<workspace>/.agent/skills/<skill>/`
	Global	`~/.gemini/antigravity/global_skills/<skill>/`
OpenCode	Project	`.opencode/skills/<skill>/` or `.claude/skills/<skill>/`
	Global	`~/.config/opencode/skills/<skill>/`
OpenClaw	Workspace	`<workspace>/skills` (highest priority)
	Managed	`~/.openclaw/skills`
Claude Code / Codex	Personal	`~/.claude/skills/` or `~/.codex/skills/`
	Project	`.claude/skills/`

💡 Each skill folder must contain a SKILL.md file.

For a complete autonomous financial analysis framework, check out:

DeepEar →

🇨🇳 中文

🚀 全新: DeepEar 在线演示 (免费Lite版) 现已上线: https://deepear.vercel.app/

✨ 核心亮点

📰 实时新闻聚合	📊 逻辑链路可视化	🔮 AI 智能预测

聚合财联社、华尔街见闻、微博、Polymarket 等 10+ 信源	自动生成传导链路图，直观解释市场影响	基于 Kronos 模型的时序预测，结合新闻情绪调整

🚀 快速开始

方式一：一键安装（推荐）

现在你可以使用 npx skills 直接安装单个技能：

# 安装指定技能（如：alphaear-news）
npx skills add RKiding/Awesome-finance-skills@alphaear-news

# 或者搜索更多金融技能
npx skills find "get the finance news (alphaear-news)"

方式二：手动安装

# 克隆仓库
git clone https://github.com/RKiding/Awesome-finance-skills.git

# 复制技能到你的 Agent（以 OpenCode 为例）
cp -r Awesome-finance-skills/skills/* ~/.config/opencode/skills/

搞定！ 你的 Agent 现在已经拥有金融分析能力。试试问它：

"分析贵金属跳水对A股的影响"

🔗 在线演示: 查看实战效果 →

📦 技能清单

技能	功能描述	核心特性
alphaear-news	实时财经新闻与热点趋势	10+ 信源，Polymarket 数据
alphaear-stock	A股/港股/美股行情与基本面	股票搜索、OHLCV、个股基本面
alphaear-sentiment	FinBERT / LLM 情感分析	评分范围: -1.0 ~ +1.0
alphaear-predictor	Kronos 时序预测模型	结合新闻情绪动态调整
alphaear-signal-tracker	投资信号演化追踪	强化 / 弱化 / 证伪
alphaear-logic-visualizer	传导链路图生成	输出 Draw.io XML
alphaear-reporter	专业研报生成	规划 → 撰写 → 编辑 → 图表
alphaear-search	全网搜索与本地 RAG	支持 Jina / DDG / 百度

🔧 技能接入指南

Awesome Finance Skills 支持多种主流 Agent 框架：

框架	作用域	安装路径
Antigravity	工作区	`<workspace>/.agent/skills/<skill>/`
	全局	`~/.gemini/antigravity/global_skills/<skill>/`
OpenCode	项目	`.opencode/skills/<skill>/` 或 `.claude/skills/<skill>/`
	全局	`~/.config/opencode/skills/<skill>/`
OpenClaw	工作区	`<workspace>/skills`（优先级最高）
	托管	`~/.openclaw/skills`
Claude Code / Codex	个人	`~/.claude/skills/` 或 `~/.codex/skills/`
	项目	`.claude/skills/`

💡 每个技能文件夹需包含 SKILL.md 文件。

🔗 完整框架

如需完整的自动化金融分析框架，请关注：