Skill

Context Management

Data Science, Analytics and AI/ML

Context management refers to the practice of tracking, organizing, and maintaining relevant background information—whether in software systems, AI applications, or general project work—so that decisions and outputs remain coherent and informed over time. In AI/LLM applications specifically, it involves curating what information stays in or is removed from a model's working memory to optimize performance and cost.

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• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Context Engineering
• Memory Management