muratcankoylan/Agent-Skills-for-Context-Engineering resource

Health v2 · maintenance only

Adoption not part of the score

17838 stars · 1475 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of Agent Skills (documentation/playbooks) for context engineering and multi-agent architecture, written in Python and MIT-licensed. It teaches context curation, degradation patterns, compression, and agent operating loops for production agent systems.

Use cases

• learn context engineering for LLM agents
• design multi-agent architectures
• debug context degradation in agent systems
• compress long-running agent session context
• build production-grade AI agent harnesses
• evaluate agent behavior across platforms

When to choose

• you are building or optimizing LLM agent systems and need context management guidance
• you want vetted patterns for multi-agent orchestration
• you need educational material on context window limitations

When to avoid

• you need runnable agent framework code rather than skills/documentation
• you are not working with LLM-based agents

Facets

learning-resource · maturity active

agent-framework prompt-engineering rag llm-training large-language-models developer-tools tutorials python cross-platform context-engineering agent-skills multi-agent documentation awesome-lists ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="muratcankoylan/Agent-Skills-for-Context-Engineering")