Skill Directory for OpenClaw

通达信数据读取的一个简便使用封装

Hikyuu Quant Framework 基于C++/Python的极速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

Vibe Coding 指南 - 涵盖 Prompt 提示词、Skill 技能库、Workflow 工作流的 AI 编程工作站

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

An open-source alternative to Claude Cowork, powered by opencode

基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

An agentic skills framework & software development methodology that works.

LLM驱动的 A/H/美股智能分析器，多数据源行情 + 实时新闻 + Gemini 决策仪表盘 + 多渠道推送，零成本，纯白嫖，定时运行

AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source.

LLM 并发性能测试工具，支持自动化压力测试和性能报告生成。

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.

交易猫；tradecat；全市场量化交易数据平台

Project-based learning tutorials to help you build AI-native applications from scratch.

Vibe coding from 0 to 1 ｜把想法做成真正能上线的产品｜首个交互式教程｜零基础也能学会的 AI 编程实战

Examples in the MLX framework

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

让你一眼惊艳的prompt

红墨 - 基于🍌Nano Banana Pro🍌 的一站式小红书图文生成器 《一句话一张图片生成小红书图文》 Red Ink - A one-stop Xiaohongshu image-and-text generator based on the 🍌Nano Banana Pro🍌, "One Sentence, One Image: Generate Xiaohongshu Text …

2026年最新Claude充值订阅攻略，包括Claude注册、Claude账号购买、Claude拼车合租、Claude Pro代充、Claude Code国内使用教程！

SMS-Activate的详细使用指南

Fin-Agent 是一个基于 DeepSeek 等大模型和 Tushare 金融数据的智能金融分析助手。它能够通过自然语言交互，帮助用户查询股票行情、分析财务数据、获取市场指标、选股筛选以及策略回测，并提供投资参考建议。

Model Context Protocol (MCP) server for go-zero framework - Generate APIs, RPC services, and models with AI assistance.

Spec-driven-development with go-zero and AI.

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

雪球股票数据接口 python edition