Token Optimization
CommunityReduce token usage, save costs.
Software Engineering#optimization#compression#token usage#cost saving#response quality#llm efficiency
Authorvietlinhh02
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the high cost and inefficiency of using large language models by providing strategies to significantly reduce token consumption while maintaining response quality.
Core Features & Use Cases
- Cost Savings: Achieve 30-70% cost reduction through strategic output compression.
- Compression Levels: Offers three distinct levels (Concise, Compact, Ultra) tailored to different needs.
- Techniques: Implements methods like removing preambles, code-only responses, referencing documentation, and using diff formats.
- Use Case: For a high-volume development session involving repetitive bug fixes, applying the 'Ultra' compression level can drastically cut down on token usage, making the process more economical.
Quick Start
Activate token-efficient mode for this session.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Token Optimization Download link: https://github.com/vietlinhh02/cogninote/archive/main.zip#token-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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