This is the conceptual foundation for the entire context engineering collection. It explains what context actually is (system prompts, tool definitions, retrieved documents, message history, tool outputs), how attention mechanics constrain agent behavior (the U-shaped attention curve, the n-squared relationship problem), and why quality beats quantity when you're working against a finite budget. Use it for onboarding, design decisions, and grounding operational work in first principles. It deliberately routes execution elsewhere: debugging attention failures to context-degradation, token efficiency to context-optimization, conversation summarization to context-compression. The four core principles (informativity over exhaustiveness, position-aware placement, progressive disclosure, iterative curation) are the mental models you need before touching the specialized skills.
npx -y skills add muratcankoylan/agent-skills-for-context-engineering --skill context-fundamentals --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot