markdown-token-optimizer

Analyzes markdown files and suggests token-reduction optimizations while preserving clarity. This skill analyzes markdown files and suggests optimizations to reduce token consumption while maintaining clarity. See ANTI-PATTERNS.md for detection patterns and OPTIMIZATION-PATTERNS.md for techniques. - Counts tokens using a 4-character-per-token approximation and identifies token-wasting patterns including emojis, verbosity, duplication, and oversized code blocks - Generates a detailed suggestions table showing issue location, description, recommended fix, and estimated token savings - Targets SKILL.md files for under 500 tokens and reference files for under 1000 tokens - Provides recommendations only without auto-modifying files, ensuring developers retain full control over changes - Optimize markdown files for token efficiency - Reduce SKILL.md file size or check for bloat - Make documentation more concise for AI consumption - Count - Calculate tokens (~4 chars = 1 token), report totals - Scan - Find patterns: emojis, verbosity, duplication, large blocks - Suggest - Table with location, issue, fix, savings estimate - Summary - Current/potential/savings with top recommendations - Suggest only (no auto-modification) - Preserve clarity in all optimizations - SKILL.md target: <500 tokens, references: <1000 tokens - OPTIMIZATION-PATTERNS.md - Optimization techniques -...