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.

Analysiert Ereignisse durch die Linse der Informatik unter Verwendung von Rechenkomplexität, Algorithmen, Datenstrukturen, Systemarchitektur, Informationstheorie und Software-Engineering-Prinzipien zur Bewertung von Machbarkeit, Skalierbarkeit und Sicherheit. Bietet Einblicke in die Effizienz von Algorithmen, Systemdesign, Rechengrenzen, Datenverwaltung und technische Kompromisse. Verwendung bei: Technologiebewertung, Systemarchitektur, Algorithmusdesign, Skalierbarkeitsanalyse, Sicherheitsbewertung. Bewertet: Rechenkomplexität, algorithmische Effizienz, Systemarchitektur, Skalierbarkeit, Datenintegrität, Sicherheit. Quelle: zpankz/mcp-skillset.

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