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# Token Optimization Guide

> Practical strategies for reducing token consumption while maintaining quality.

---

## Why Token Optimization Matters

| Issue | Impact |
|-------|--------|
| Excessive file loading | Higher costs, slower responses |
| Context accumulation | Quality degradation after 50% |
| Re-reading files | Wasted tokens on understood content |
| Full files when snippets suffice | 10x token usage |

**Goal:** Maximize output quality per token spent.

---

## The Token Efficiency Stack

```

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”

β”‚ 1. Search-First (context-fetch)    β”‚ ← Find before loading

β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€

β”‚ 2. Budget Tracking (token-budget)  β”‚ ← Know your limits

β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€

β”‚ 3. Compression (context-compressor)β”‚ ← Minimize footprint

β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€

β”‚ 4. Health Monitoring               β”‚ ← Prevent degradation

β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

```

---

## Quick Reference: Token Costs

### By Content Type

| Type | Tokens/Line | 100 Lines = |
|------|-------------|-------------|
| Dense code | 6 | ~600 tokens |
| Standard code | 4 | ~400 tokens |
| Markdown | 3 | ~300 tokens |
| Sparse YAML | 2 | ~200 tokens |

### By File Size

| File Lines | Strategy |
|------------|----------|
| <50 | Load freely |
| 50-200 | Outline first |
| 200-500 | Search + snippets |
| 500+ | Never load fully |

---

## Optimization Patterns

### Pattern 1: Search β†’ Outline β†’ Target

```

Step 1: Search for "handlePayment"

  β†’ Found in: payment.ts:45, checkout.ts:120



Step 2: Get outline of payment.ts

  β†’ L45-80: handlePayment function



Step 3: Load only L45-80

  β†’ 35 lines (~140 tokens) vs 400 lines (~1600 tokens)

  β†’ Saved: ~90%

```

### Pattern 2: Summarize After Understanding

```

After reading auth.ts:



## Summary: auth.ts

- Exports: login, logout, validateToken

- Pattern: Express middleware

- DB: queries users table

- JWT: uses jose library



Next time: Reference summary, don't reload

```

### Pattern 3: Progressive Disclosure

```

Need: Understand login flow



Level 1: Outline

  β†’ "login at L45, uses validateCredentials at L67"

  β†’ Often sufficient



Level 2: Key function

  β†’ Load L45-65 only

  β†’ Understand core logic



Level 3: Dependencies

  β†’ Load validateCredentials (L67-85)

  β†’ Only if L2 insufficient



Level 4: Full file

  β†’ Last resort, re-compress after

```

---

## Anti-Patterns to Avoid

### ❌ The "Context Dump"

```

BAD:

"Let me read all the files in src/ to understand the project"

β†’ 50 files Γ— 200 lines Γ— 4 tokens = 40,000 tokens



GOOD:

"Let me search for 'main entry' and 'router'"

β†’ 2 targeted searches, ~500 tokens

```

### ❌ The "Just In Case" Load

```

BAD:

"Loading utils.ts in case I need it later"

β†’ Probably won't need it, wasted tokens



GOOD:

"Noting utils.ts exists, will load if needed"

β†’ Zero tokens until actually needed

```

### ❌ The Re-Read

```

BAD:

"Reading config.ts again to check the port"

β†’ Already read it twice = 1200 tokens



GOOD:

"From my earlier analysis, port is on L15"

β†’ Zero additional tokens

```

---

## Budget Checkpoints

### Before Starting Work

```markdown

β–‘ Do I know my current budget usage?

β–‘ Have I tried searching before loading?

β–‘ Am I loading files I've already understood?

```

### During Execution

```markdown

β–‘ Am I at >50%? Time to compress.

β–‘ Am I re-reading files? Use summaries.

β–‘ Can I use outline instead of full file?

```

### After Each Wave

```markdown

β–‘ Have I compressed context for next wave?

β–‘ Are summaries documented in STATE.md?

β–‘ Would a fresh session be more efficient?

```

---

## Integration with GSD

| GSD Workflow | Token Optimization |
|--------------|-------------------|
| `/map` | Generate outline, not full read |
| `/plan` | Budget estimate per task |
| `/execute` | Load minimal per task |
| `/verify` | Targeted evidence only |
| `/pause` | Compress and dump state |

---

## Metrics

Track these for improvement:

| Metric | Good | Poor |
|--------|------|------|
| Files fully loaded | <3 per wave | 10+ |
| Search:Load ratio | 3:1 | 1:3 |
| Re-reads | 0 | 3+ |
| Budget at wave end | <50% | >70% |

---

*See also:*
- *[.agents/skills/token-budget/SKILL.md](.agents/skills/token-budget/SKILL.md)*
- *[.agents/skills/context-compressor/SKILL.md](.agents/skills/context-compressor/SKILL.md)*
- *[PROJECT_RULES.md](PROJECT_RULES.md) β€” Token Efficiency Rules*