Individual skill
context-engineering
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended interactions.
skills/context-engineering/SKILL.md
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- ai-agents Repository topic
- claude-code Repository topic
- codex-cli Repository topic
- llm Repository topic
- skills Repository topic
- ai-engineering Repository topic
- generative-ai Repository topic
- llm-engineering Repository topic
- claude-skills Repository topic
- engineering Derived category
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# Context Engineering
Context engineering is the discipline of curating and maintaining the optimal set of tokens during LLM inference. Unlike prompt engineering (crafting individual prompts), context engineering focuses on what information enters the context window and when.
## Table of Contents
- [Core Principles](#core-principles)
- [Context Management Strategies](#context-management-strategies)
- [System Prompt Design](#system-prompt-design)
- [Tool Design for Context Efficiency](#tool-design-for-context-efficiency)
- [Long-Horizon Task Patterns](#long-horizon-task-patterns)
- [Implementation Patterns](#implementation-patterns)
- [Best Practices](#best-practices)
- [References](#references)