agent-development
🔌Pluginmuratcankoylan/Agent-Skills-for-Context-Engineering
|A collection of agent skills focused on context engineering principles, teaching the art of curating the language model's context window for building production-grade AI agent systems.
Overview
Agent Development is a plugin from the Agent Skills for Context Engineering collection that teaches the principles and practices of building production-grade AI agent systems. Rather than providing a single tool, it offers a curriculum of skills focused on context engineering — the discipline of managing what information enters a language model's limited attention window to maximize agent effectiveness.
Key Features
- Context engineering curriculum — Covers foundational concepts (context degradation, compression, fundamentals), architectural patterns (multi-agent, memory systems, tool design), and advanced topics (hosted agents, filesystem context)
- Research-backed methodology — Cited in academic research from Peking University as foundational work on static skill architecture for AI agents
- Practical skill modules — Each skill is a standalone module with hands-on guidance: context-fundamentals, context-degradation, context-compression, multi-agent-patterns, memory-systems, tool-design, filesystem-context, and hosted-agents
- Platform-agnostic principles — Teaches context engineering concepts applicable across any agent platform, not just Claude Code
Who is this for?
This plugin is for developers building AI agent systems who want to deeply understand context engineering — how to curate system prompts, tool definitions, retrieved documents, and message history to maximize agent performance. It is especially valuable for those designing multi-agent architectures or dealing with context window limitations.
Part of
muratcankoylan-agent-skills-for-context-engineering
Installation
/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineering/plugin install agent-development@context-engineering-marketplaceMore from this repository10
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A comprehensive collection of agent skills focused on context engineering and harness engineering for building production-grade AI agent systems, covering context fundamentals, compression, multi-agent patterns, and memory system design. Cited in academic research from Peking University and CMU.
Part of Agent Skills for Context Engineering, a collection focused on context engineering and harness engineering principles for building production-grade AI agent systems, cited in academic research from Peking University and others.
A collection of agent skills focused on context engineering principles for building production-grade AI systems, covering context window management, attention mechanics, compression strategies, multi-agent patterns, and context degradation prevention.
A collection of agent skills focused on context engineering principles, teaching how to curate and manage the language model's context window for maximum effectiveness in production-grade AI agent systems.