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Context Engineering

Context engineering knowledge base for designing context stacks, memory, retrieval, orchestration, and AI system reliability in a Codex-compatible way.

majiayu000 1fd7e0b 2 files · 2.1 KB Updated 567 repo stars

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Context Engineering

Use this skill when designing or reviewing how context is assembled for AI systems.

Use Cases

  • Context stack design
  • Retrieval and RAG planning
  • Memory design
  • Multi-step orchestration
  • AI system reliability reviews

Core Principle

Deliver the smallest high-signal context that makes the task solvable and safe.

Layers

Think in layers:

  1. System policy
  2. Developer instructions
  3. Tool contracts
  4. Runtime state
  5. Retrieved knowledge
  6. Memory
  7. Examples
  8. Output contract

Repository Mapping

  • Root and scoped AGENTS.md -> developer instructions and runtime context
  • .agents/skills/* -> reusable task workflows and knowledge
  • Project files and retrieved docs -> knowledge context
  • Structured outputs or explicit response formats -> output contract

Companion Resources

  • context-stack-model.md
  • memory-engineering.md
  • agent-harness-patterns.md
  • rag-engineering.md
  • multi-agent-patterns.md
  • production-checklists.md
  • reference-templates.md
  • privacy-compliance-ai.md

majiayu000/claude-skill-registry-data/tree/main/context-management/context-engineering-avav25-ai-assets commit 1fd7e0bc6f

Frequently asked questions

npx skillmds add majiayu000/context-engineering-6