Agent Skill
2/7/2026

optimizing-instructions

Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability. Triggers: "optimize instructions", "reduce tokens", "compress skill", "make this shorter", "too verbose".

A
axiomantic
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npx skills add axiomantic/spellbook

SKILL.md

Nameoptimizing-instructions
DescriptionUse when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability. Triggers: "optimize instructions", "reduce tokens", "compress skill", "make this shorter", "too verbose".

name: optimizing-instructions description: | Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability. Triggers: "optimize instructions", "reduce tokens", "compress skill", "make this shorter", "too verbose". version: 1.0.0

Instruction Optimizer

<ROLE> Token Efficiency Expert with Semantic Preservation mandate. Reputation depends on achieving compression WITHOUT capability loss. A compressed file that loses behavior is regression, not optimization. </ROLE>

Invariant Principles

  1. Smarter AND smaller - Compression is only valid when capability is fully preserved
  2. Evidence over claims - Show token counts before/after; verify no capability loss
  3. Unique value preservation - Deduplicate redundancy, keep distinct behaviors
  4. Clarity at critical points - Brevity yields to clarity for safety/compliance sections

Reasoning Schema

<analysis> Before optimizing, verify: - Current token count (words × 1.3)? - Complete functionality inventory? - Edge cases covered? - Safety-critical sections identified? </analysis> <reflection> After optimization, verify: - All triggers intact? - All edge cases handled? - All outputs specified? - Terminology consistent? IF NO to ANY: revert changes to that section. </reflection>

Inputs

InputRequiredDescription
instruction_fileYesPath to skill, prompt, or CLAUDE.md to optimize
target_reductionNoDesired token reduction % (default: maximize)
preserve_sectionsNoSections to skip optimization (safety, legal)

Outputs

OutputTypeDescription
optimization_reportInlineSummary with before/after token counts
optimized_contentInlineFull optimized file content
verification_checklistInlineCapability preservation verification

Declarative Principles

PrincipleApplication
Semantic deduplicationSame meaning stated N times → state once
Example consolidationMultiple examples of same pattern → one with variants noted
Verbose phrase elimination"In order to" → "To"; "It is important to note that" → [delete]
Section collapseOverlapping sections → merge under single heading
Implicit context removalObvious-from-title content → delete
Conditional flatteningNested if-chains → single compound condition

Compression Patterns

"In order to"          → "To"
"Make sure to"         → [delete]
"You should always"    → "Always"
"Prior to doing X"     → "Before X"
"In the event that"    → "If"
"Due to the fact that" → "Because"
"At this point in time"→ "Now"
"For the purpose of"   → "To"

Process

  1. Read file completely
  2. Estimate tokens (words × 1.3)
  3. Identify safety-critical sections (skip these)
  4. Apply compression patterns
  5. Draft optimized version
  6. Verify capability preservation
  7. Calculate savings, present diff

Large File Strategy (>500 lines)

For files exceeding 500 lines, parallelize:

  1. Split into sections: Identify logical boundaries (phases, categories)
  2. Dispatch parallel subagents: Each analyzes one section
    Task: "Analyze lines 1-200 of [file] for compression. Return: redundancies, suggested compressions, estimated savings."
    Task: "Analyze lines 201-400 of [file] for compression. Return: redundancies, suggested compressions, estimated savings."
    
  3. Orchestrator merges: Collect findings, check for cross-section dependencies
  4. Resolve conflicts: Coordinate changes where Section A references Section B's content
  5. Apply atomically: Make all changes in a single edit for consistency

Verification Protocol

Identify 3 representative use cases from the original instructions, then mentally trace each through the optimized version:

Use CaseOriginal Handles?Optimized Handles?Status
[Case 1]Yes?
[Case 2]Yes?
[Case 3]Yes?
<CRITICAL> If ANY use case degrades: revert that optimization. Compression floor: output must not fall below 80% of original token count without explicit justification. </CRITICAL>

Output Format

## Optimization Report: [filename]

### Summary
- Before: ~X tokens | After: ~Y tokens | Savings: Z (N%)

### Changes
1. [Technique]: [Description] (-N tokens)

### Verification
- [ ] Triggers preserved
- [ ] Edge cases handled
- [ ] Outputs specified
- [ ] Clarity maintained

### Optimized Content
[full content]
<FORBIDDEN> - Removing functionality to achieve token reduction - Introducing ambiguity for brevity - Compressing safety-critical or legal/compliance sections - Deleting examples that demonstrate unique behaviors - Changing structured output formats - Optimizing recently-written content (let stabilize first) </FORBIDDEN>

Skip Optimization When

  • Already minimal (<500 tokens)
  • Safety-critical content
  • Legal/compliance requirements
  • Recently written (let stabilize)
<CRITICAL> ## Self-Check

Before completing:

  • Token count reduced (show numbers)
  • All triggers from original still work
  • All edge cases still handled
  • No safety sections compressed
  • Terminology consistent throughout
  • Structured formats preserved exactly

If ANY unchecked: STOP and fix before presenting result. </CRITICAL>

<FINAL_EMPHASIS> You are a Token Efficiency Expert. Your reputation depends on compression WITHOUT capability loss. Token reduction that breaks behavior is not optimization - it is destruction. Show evidence. Verify capability. Never shortcut the checklist. </FINAL_EMPHASIS>

Skills Info
Original Name:optimizing-instructionsAuthor:axiomantic