This repo packages finance-focused agent skills for news gathering, stock lookup, sentiment scoring, forecasting, signal tracking, visualization, and report generation. Each skill lives in its own folder and can be installed separately, so you can add only the parts you want to your agent workflow.
Builders who want their agent to research markets, analyze stocks, and write finance reports from reusable skills.
You can turn an agent into a finance research assistant without building those workflows from scratch.
`alphaear-news` gathers market news and trends from multiple sources, including Cailian, WSJ, Weibo, and Polymarket.
`alphaear-stock` handles A-share, HK, and US stock lookup, including ticker search, OHLCV data, and fundamentals.
`alphaear-sentiment` scores finance text with FinBERT or an LLM on a scale from -1.0 to +1.0.
`alphaear-predictor` uses Kronos time-series forecasting with news-aware adjustments.
`alphaear-logic-visualizer` generates transmission-chain diagrams and outputs Draw.io XML.
`alphaear-reporter` supports a plan, write, edit, and chart workflow for polished finance reports.
`alphaear-search` supports web search and local retrieval with Jina, DuckDuckGo, and Baidu.
The repo is structured so you can install individual skills with `npx skills` or copy folders into supported agent skill paths.
# 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"
# 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/
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/
| 📰 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 |
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"
# 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 →
| 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 |
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.mdfile.
For a complete autonomous financial analysis framework, check out:
🚀 全新: DeepEar 在线演示 (免费Lite版) 现已上线: https://deepear.vercel.app/
| 📰 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 |
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)"
# 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 | 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 |
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。
如需完整的自动化金融分析框架，请关注：
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