optimize-prompt-token-efficiency

# Optimize Prompt Token Efficiency Iteratively optimize prompt token efficiency by maximizing information density through verification loops. Primary goal: reduce token consumption while preserving all semantic content for AI-consumed prompts (CLAUDE.md, skills, agent prompts, specs). ## Overview This skill transforms verbose prompts into token-efficient versions through: 1. **Verification First** - `prompt-token-efficiency-verifier` checks for inefficiencies before any changes 2. **Optimization** - Apply targeted compression based on verifier feedback 3. **Re-verification** - Verify compression is lossless, iterate if issues remain (max 5 iterations) 4. **Output** - Atomic replacement only after verification passes **Loop**: Read → Verify → (Exit if efficient) → Optimize based on feedback → Re-verify → (Iterate if issues) → Output **Key principle**: Don't try to optimize in one pass. The verifier drives all changes - if it finds no inefficiencies, the prompt is already token-efficient. ## Workflow ### Phase 0: Create Task List (use task management immediately) Create todos tracking workflow phases. List reflects areas of work, not fixed steps. **Starter todos**: ``` - [ ] Input validation - [ ] Initial verification - [ ] (Expand: optimization iterations on INEFFICIENCIES_FOUND) - [ ] Output optimized prompt ``` ### Phase 1: Input Validation **Mark "Input validation" todo `in_progress`.** **Step 1.1: Parse arguments** Extract file path from `$ARGUMENTS`. If no pa...