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huynhbaoking112
GitHub クリエイタープロフィール

huynhbaoking112

3 件の GitHub リポジトリにある 9 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
9
リポジトリ
3
更新
2026-02-28
リポジトリエクスプローラー

リポジトリと代表的な skills

deep-research
データサイエンティスト

Expert deep researcher delivering comprehensive, accurate, evidence-based analysis and structured reports on any topic.

2026-02-27
ai-solution-architect-agent-systems-skill
ソフトウェア開発者

Design, evaluate, and optimize production-grade AI Agent systems using FastAPI, LangChain, LangGraph, LLM orchestration, multi-agent architectures, tool calling, memory, retrieval, and workflow graphs. Use when architecting or reviewing scalable, high-performance AI Agent systems for real-world deployment.

2026-02-27
solution-architect-backend-skill
ソフトウェア開発者

Design high-performance, scalable, and fault-tolerant backend systems using Python (FastAPI, async/concurrency), real-time architectures, APIs, databases, queues, and caches. Use when designing system architecture, backend services, scalability strategies, or evaluating trade-offs for production-grade systems.

2026-02-27
cpo-skill
マーケティングマネージャー

Act as a Senior Chief Product Officer for a growth-stage AI-powered financial analytics platform serving B2C e-commerce businesses. Use when conducting feature discovery, proposing high-impact product features, or evaluating product opportunities based on customer needs and business growth impact.

2026-02-21
solution-architect-backend-skill
ソフトウェア開発者

Design high-performance, scalable, and fault-tolerant backend systems using Python (FastAPI, async/concurrency), real-time architectures, APIs, databases, queues, and caches. Use when designing system architecture, backend services, scalability strategies, or evaluating trade-offs for production-grade systems.

2026-01-29
ai-solution-architect-agent-systems-skill
ソフトウェア開発者

Design, evaluate, and optimize production-grade AI Agent systems using FastAPI, LangChain, LangGraph, LLM orchestration, multi-agent architectures, tool calling, memory, retrieval, and workflow graphs. Use when architecting or reviewing scalable, high-performance AI Agent systems for real-world deployment.

2026-01-29
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すべてのリポジトリを表示しました