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Skill

context-engineering-collection

@muratcankoylan Updated 2026-08-19

A comprehensive collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, evaluating, or debugging agent systems that require effective context management and reliable operating loops.

Install

git clone https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering ~/.claude/skills/context-engineering-collection

From README

Agent Skills for Context Engineering This collection provides structured guidance for building production-grade AI agent systems through effective context engineering. When to Activate Activate these skills when: Building new agent systems from scratch Optimizing existing agent performance Debugging context-related failures Designing multi-agent architectures Creating or evaluating tools for agents Implementing memory and persistence layers Designing autonomous research or evaluation harnesses Skill Map Foundational Context Engineering Understanding Context Fundamentals Context is not just prompt text—it is the complete state available to the language model at inference time, including system instructions, tool definitions, retrieved documents, message history, and tool outputs. Effective context engineering means understanding what information truly matters for the task at hand and curating that information for maximum signal-to-noise ratio.