muratcankoylan/context-fundamentals
Open skills for mastering context in AI agent systems.
View on GitHub Updated 2026-06-16
What is muratcankoylan/context-fundamentals?
The context-fundamentals skill introduces the core ideas of context engineering, explaining how to manage a model's limited attention budget through careful selection of prompts, history, tools, and retrieved data. It contrasts this with traditional prompt engineering by focusing on holistic curation rather than isolated instructions.
It works by breaking down context anatomy, identifying degradation patterns, and providing evaluation methods to maintain performance in long sessions. The approach draws on attention mechanics research to prioritize high-signal tokens.
It is intended for AI developers, researchers, and engineers building or optimizing agent systems who need practical frameworks beyond basic prompting techniques.
Capabilities
teach context fundamentals for agents
identify context degradation patterns
design context compression strategies
build multi-agent architectures
design memory and tool systems
optimize agent context windows
What you can build with muratcankoylan/context-fundamentals
Agent System Design
Apply foundational context principles when architecting new agent loops to ensure efficient information flow from the start.
Performance Troubleshooting
Diagnose issues like attention scarcity or context poisoning in existing agents using the defined failure patterns.
Skill Extension
Build upon the basics to explore related skills in compression, memory, and multi-agent patterns for advanced setups.
Install muratcankoylan/context-fundamentals
Quick start
/plugin install context-engineering@context-engineering-marketplace- 1Clone the repository from GitHub to access the skill files locally.
- 2Navigate to the skills/context-fundamentals directory and review the core documentation.
- 3Read through the explanations of context anatomy and degradation patterns.
- 4Experiment by applying the concepts to a simple agent prompt in your preferred framework.
- 5Progress to related skills like context-compression for iterative improvement.
muratcankoylan/context-fundamentals: pros & cons
Pros
- +Provides clear foundational explanations grounded in attention research.
- +Open collection allows free exploration and extension.
- +Cited in academic papers on agent harnesses and skill evolution.
- +Structured progression from basics to advanced operational skills.
Cons
- –Requires prior familiarity with agent systems to fully benefit.
- –Focuses more on concepts than ready-to-run code examples.
- –Newer skills like hosted-agents may still be evolving.
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Frequently asked questions
Context engineering manages the entire input window including history and tools, while prompt engineering targets instructions alone.
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