markdown-token-optimizer
Analyze markdown files for token efficiency and reduce context-window bloat. **UTILITY SKILL**. DO NOT USE FOR: code optimization, general file editing, non-markdown files. 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. INVOKES: waza CLI.
Datos de origen
- Repositorio
- Azure/azure-sdk-tools
- Última actividad en el origen
- 3 de septiembre de 2026 a las 22:13
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 134
- Forks
- 262
Opciones de instalación
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- markdown-token-optimizer
- description
- Analyze markdown files for token efficiency and reduce context-window bloat. **UTILITY SKILL**. DO NOT USE FOR: code optimization, general file editing, non-markdown files. 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. INVOKES: waza CLI.
- license
- MIT
- metadata
- {"author":"Microsoft","version":"1.0.0"}
- compatibility
- copilot-chat
# Markdown Token Optimizer
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
1. **Count** - Calculate tokens (~4 chars = 1 token), report totals
2. **Scan** - Find patterns: emojis, verbosity, duplication, large blocks
3. **Suggest** - Table with location, issue, fix, savings estimate
4. **Summary** - Current/potential/savings with top recommendations
See [ANTI-PATTERNS.md](references/ANTI-PATTERNS.md) for detection patterns and [OPTIMIZATION-PATTERNS.md](references/OPTIMIZATION-PATTERNS.md) for techniques.
## Rules
- Suggest only (no auto-modification)
- Preserve clarity in all optimizations
- SKILL.md target: <500 tokens, references: <1000 tokens
## Examples
- "Optimize this SKILL.md for tokens"
- "Count tokens in references/SCORING.md"
## Troubleshooting
High token count? Check for emojis, repeated headings, or verbose tables.
## MCP Tools
| Tool | Purpose |
|------|---------|
| None | CLI-only; uses local file tools |
**CLI fallback:** Primary mode is CLI-based. No MCP servers required.
## References
- [OPTIMIZATION-PATTERNS.md](references/OPTIMIZATION-PATTERNS.md) - Optimization techniques
- [ANTI-PATTERNS.md](references/ANTI-PATTERNS.md) - Token-wasting patterns
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