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Agent Skills for Context Engineering

A collection of 18 skills on context engineering and agent harness design: how context degrades and how to compress, optimize and externalize it, multi-agent patterns, memory, tool design, evaluation, and loops where the harness improves itself. Mostly conceptual guidance with small illustrative Python scripts; it installs as one Claude Code plugin.

Kind
Framework
Works with
Any agent
Languages
Python
Source
Agent Skills for Context Engineering @ 9ff0c99108b3
Path
README.md
License
MIT
Jobs
Context management, Planning
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# Agent Skills for Context Engineering

A comprehensive, open collection of Agent Skills focused on context engineering and harness engineering principles for building production-grade AI agent systems. These skills teach the art and science of curating context, designing agent operating loops, and evaluating agent behavior across any agent platform.

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## What is Context Engineering?

Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the holistic curation of all information that enters the model's limited attention budget: system prompts, tool definitions, retrieved documents, message history, and tool outputs.
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