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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.

Quellinformationen

Repository
Azure/azure-sdk-tools
Letzte Quellaktivität
8. September 2026 um 19:36
Erkannte Sprache von SKILL.md
Englisch
Sterne
134
Forks
262

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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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