Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: trading-systems

英語版ディレクトリ

🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.

88K
Stars
88/100
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カテゴリ: agent-skills監査

TradingAgents: Multi-Agents LLM Financial Trading Framework

88K
Stars
80/100
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カテゴリ: finance監査

GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

21K
Stars
84/100
信頼
カテゴリ: data-analysis監査

Free, open source crypto trading bot

52K
Stars
80/100
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カテゴリ: finance監査

A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java

43K
Stars
81/100
信頼
カテゴリ: finance監査

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.

33K
Stars
86/100
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カテゴリ: devops監査

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

12K
Stars
82/100
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カテゴリ: data-analysis監査

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
信頼
カテゴリ: rag-knowledge監査

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

353K
Stars
77/100
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カテゴリ: design-creative監査

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
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カテゴリ: data監査

Machine Learning Systems

25K
Stars
77/100
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カテゴリ: ml-automation監査

Production-grade Rust-native trading engine with deterministic event-driven architecture

23K
Stars
82/100
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カテゴリ: sports-analytics監査