token-waste-elimination
Token Waste Elimination
Memory files are LLM context, not human documentation. Every line costs tokens. Optimize for my consumption, not human readability.
Loading Tiers
| Tier | What Loads | When | Cost |
|---|---|---|---|
| Always-on | copilot-instructions.md body, AGENTS.md/CLAUDE.md (if present), ALL instruction descriptions, ALL skill name+descriptions, ALL agent descriptions |
Every request | Fixed |
| Match-loaded | Instruction bodies with applyTo |
File context matches glob | Predictable |
| Agent-loaded | Instruction bodies without applyTo |
I judge description relevant (not automatic) | Variable |
| On-demand | Skill bodies, prompt bodies | I load skill when needed; prompt on /command |
Near-zero |
Core Rules
Instructions thin, skills thick: Instructions = decision tables + routing. Skills = procedures + examples + references.
applyTo gates cost: Add applyTo to domain-specific instructions (file-type triggered). Omit for conversational/universal instructions.
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