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Post #1938 179
Agent Skills for Context Engineering - teaching agents to "think contextually"

This repository shows how to enhance LLM agents so that they better understand the task, the dialogue history, and the conditions, rather than just generating responses.

Useful for:
• skills in managing long contexts
• neat structuring of data and instructions
• templates for searching, filtering, and making decisions
• examples of real scenarios (chats, memory tasks, integrations)

Often, agents lose important details, confuse steps, and "forget" the goal. This library teaches them to keep the context under control and act more consistently.


Github

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