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context-fundamentalslisted

Foundational theory of context engineering — what context IS, how attention works, progressive disclosure principles, and context budgeting basics. Use when the user asks to "understand context", "explain context windows", "learn context engineering", or discusses context components, attention mechanics, or context budgets. NOT for fixing broken context or diagnosing failures (use context-degradation), NOT for compressing or summarizing context (use context-compression), NOT for KV-cache or partitioning performance optimization (use context-optimization), NOT for file-based context patterns or scratch pads (use filesystem-context).
viktorbezdek/skillstack · ★ 9 · AI & Automation · score 76
Install: claude install-skill viktorbezdek/skillstack
# Context Engineering Fundamentals Context is the complete state available to a language model at inference time: system instructions, tool definitions, retrieved documents, message history, and tool outputs. Understanding context fundamentals is prerequisite to all other context engineering skills. ## When to Use / Not Use **Use when:** - Designing new agent systems or modifying existing architectures - Onboarding to context engineering concepts - Reviewing context-related design decisions - Debugging unexpected agent behavior that may relate to context structure **Do NOT use when:** - Diagnosing context failures or degradation -> use `context-degradation` - Compressing or summarizing context -> use `context-compression` - KV-cache optimization or context partitioning -> use `context-optimization` - File-based context patterns or scratch pads -> use `filesystem-context` ## Decision Tree ``` What do you need to understand about context? ├── What goes INTO context │ ├── System instructions / identity -> System Prompts (§Anatomy) │ ├── Available actions -> Tool Definitions (§Anatomy) │ ├── External knowledge -> Retrieved Documents (§Anatomy) │ ├── Conversation so far -> Message History (§Anatomy) │ └── Action results -> Tool Outputs (§Anatomy) ├── How context is CONSUMED │ ├── Attention mechanics / budget -> Attention Budget (§Attention) │ ├── Position encoding limits -> Position Encoding (§Attention) │ └── Quality vs quantity trade-offs -> Quality vs Quan