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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.

معلومات المصدر

المستودع
Azure/azure-sdk-tools
آخر نشاط في المصدر
٢٢ أكتوبر ٢٠٢٦ في ٢٣:٠٣
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٣٥
التفرعات
٢٦٠

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
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.
license
MIT
metadata
{"author":"Microsoft","version":"1.0.0"}
compatibility
copilot-chat
# Markdown Token Optimizer This skill analyzes markdown files for token efficiency and reduces context-window bloat by identifying verbose patterns, duplicated content, and oversized sections, then suggesting concise revisions that preserve meaning while making documentation easier for AI systems to consume. ## Triggers USE FOR: analyze markdown files for token efficiency and reduce context-window bloat WHEN: "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" DO NOT USE FOR: code optimization, general file editing, non-markdown files ## Steps 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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