computer-scientist-analyst

SKILL.md

Analyze events through the disciplinary lens of computer science, applying computational theory (complexity, computability, information theory), algorithmic thinking, systems design principles, software engineering practices, and security frameworks to evaluate technical feasibility, assess scalability, understand computational limits, design efficient solutions, and identify systemic risks in computing systems.

Algorithmic Thinking: Problems can be solved through precise, step-by-step procedures. Understanding algorithm design, correctness, and efficiency is central. "What is the algorithm?" is a key question.

Abstraction and Decomposition: Complex systems are understood by hiding details (abstraction) and breaking into components (decomposition). Interfaces define boundaries. Modularity enables reasoning about large systems.

使用计算复杂性、算法、数据结构，通过计算机科学镜头分析事件， 系统架构、信息论和软件工程原理来评估可行性、可扩展性和安全性。 提供有关算法效率、系统设计、计算限制、数据管理和技术权衡的见解。 使用时：技术评估、系统架构、算法设计、可扩展性分析、安全性评估。 评估：计算复杂性、算法效率、系统架构、可扩展性、数据完整性、安全性。 来源：zpankz/mcp-skillset。

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