markdown-token-optimizer
Analyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size
84
81%
Does it follow best practices?
Impact
84%
1.37xAverage score across 3 eval scenarios
Passed
No known issues
Markdown Token Optimizer
This skill analyzes markdown files and suggests optimizations to reduce token consumption while maintaining clarity.
When to Use
- Optimize markdown files for token efficiency
- Reduce SKILL.md file size or check for bloat
- Make documentation more concise for AI consumption
Workflow
- 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
See ANTI-PATTERNS.md for detection patterns and OPTIMIZATION-PATTERNS.md for techniques.
Rules
- Suggest only (no auto-modification)
- Preserve clarity in all optimizations
- SKILL.md target: <500 tokens, references: <1000 tokens
References
- OPTIMIZATION-PATTERNS.md - Optimization techniques
- ANTI-PATTERNS.md - Token-wasting patterns
- Repository
- microsoft/github-copilot-for-azure
- Commit
dd731da
- Last updated
- Created
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