TokenSaver 智能令牌成本优化技能，帮助您在不牺牲响应质量的情况下节省 50-80% 的 AI 令牌使用。...（中英文混合，保留代码块、命令和 Markdown 格式，仅翻译文本部分）
# TokenSaver
A token cost optimization skill that helps you save 50-80% on AI token usage without sacrificing response quality.
When to Use
Use TokenSaver when:
- You have long conversations that consume many tokens
- You want to reduce AI API costs
- You're working with technical discussions that accumulate context
- You notice token usage growing rapidly in long sessions
Core Capabilities
1. Smart Context Compression
Automatically compresses conversation history based on message importance.
How it works:
- Recent messages (last 3-5) kept fully intact
- Older messages summarized based on importance score
- Code blocks and critical decisions never compressed
Savings: 50-70% reduction in context tokens
2. Semantic Cache
Caches responses to similar queries to avoid reprocessing.
How it works:
- L1: Exact query match → 100% savings
- L2: Semantic similarity > 85% → 80% savings
- L3: Pattern match → 50% savings
3. Adaptive Optimization
Automatically adjusts compression based on token pressure.
Stages:
- < 3K tokens: No compression
- 3-6K tokens: Light compression
- 6-10K tokens: Medium compression
- > 10K tokens: Heavy compression + suggest new chat
Natural Language Commands
When user asks about TokenSaver in natural language, interpret and execute:
Settings & Configuration
User says: "Configure TokenSaver" / "TokenSaver settings" / "Setup TokenSaver"
Action: Show current configuration and available options
``
Current TokenSaver Settings:
- Mode: Adaptive (auto-adjust based on token pressure)
- Compression: Balanced
- Cache: Enabled
- Quality Threshold: 85%
You can change mode:
- /tokensave - Aggressive mode (max savings)
- /tokenbalance - Balanced mode (default)
- /tokenquality - Quality priority (min compression)
`
User says: "Use aggressive mode" / "Maximize savings" / "Set to save mode"
Action: Execute /tokensave command
Response: "✅ TokenSaver switched to aggressive save mode. This provides maximum token savings (up to 80%) with slight quality trade-off."
User says: "Use balanced mode" / "Default settings" / "Set to balanced"
Action: Execute /tokenbalance command
Response: "✅ TokenSaver switched to balanced mode. Good savings (50-70%) with quality preserved."
User says: "Prioritize quality" / "Keep full context" / "Set to quality mode"
Action: Execute /tokenquality command
Response: "✅ TokenSaver switched to quality priority mode. Minimal compression, maximum context retention for precision-critical tasks."
User says: "Disable TokenSaver" / "Turn off token saving" / "Stop TokenSaver"
Action: Execute /tokenoff command
Response: "⏸️ TokenSaver temporarily disabled. Re-enable anytime with /tokens or by asking me to turn it back on."
Usage Reports & Analytics
User says: "Show me token usage report" / "TokenSaver statistics" / "Token report"
Action: Execute /tokenreport command
Response format:
`
📈 TokenSaver Usage Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This Session:
• Total Original Tokens: 12,450
• Total Optimized Tokens: 4,358
• Tokens Saved: 8,092 (65%)
• Estimated Cost Saved: $0.016
• Cache Hits: 5
• Compressions Applied: 12
Top Savings Sources:
- Context Compression: -6,200 tokens
- Semantic Cache: -1,500 tokens
- Response Optimization: -392 tokens
`
User says: "TokenSaver status" / "How much am I saving?" / "Token status"
Action: Execute /tokens command
Response format:
`
💰 TokenSaver Status
━━━━━━━━━━━━━━━━━━━━
Current Session:
• Savings: 65%
• Original Tokens: 12,450
• Optimized Tokens: 4,358
• Cache Hits: 5
Current Mode: Balanced (Adaptive)
• Stage 3 compression active
• Quality Score: 95%
`
User says: "Clear token cache" / "Reset cache" / "Clear TokenSaver cache"
Action: Execute /tokencache clear command
Response: "✅ TokenSaver cache cleared. Fresh responses will be generated for subsequent queries."
Explanation & Help
User says: "What is TokenSaver" / "How does token saving work?" / "Explain TokenSaver"
Response:
`
TokenSaver is an intelligent token cost optimization skill that helps you save 50-80% on AI token usage.
Key Features:
- Smart Context Compression - Summarizes old conversation while keeping recent messages intact
- Semantic Cache - Reuses responses for similar questions
- Adaptive Optimization - Automatically adjusts based on conversation length
- Quality Guard - Never compresses code, errors, or important messages
Benefits:
• Save 50-80% on token costs
• Faster responses with caching
• No quality loss for critical content
• Automatic - works in background
`
User says: "TokenSaver not working" / "Why no savings?" / "TokenSaver not saving"
Response:
`
TokenSaver may not show savings if:
- Conversation is too short (< 3000 tokens) - compression starts at 3K
- Currently in quality priority mode - switch with /tokensave
- First-time queries - cache builds up over time
- Code-heavy conversation - code blocks are never compressed
Try starting a longer technical discussion to see significant savings!
`
Best Practices
User says: "TokenSaver best practices" / "How to use TokenSaver effectively?" / "TokenSaver tips"
Response:
`
TokenSaver Best Practices:
- For Debugging/Code Review:
Use /tokenquality mode to keep full context
- For Research/Exploration:
Use /tokensave mode for maximum savings (up to 80%)
Balanced mode (default) works best
If switching major topics, start fresh for better compression
/tokens - Quick status check
/tokenreport - Detailed analytics
`
Slash Commands
For direct command access:
/tokens
Show current status and statistics
`
Session Savings: 65%
Original Tokens: 12,450
Optimized Tokens: 4,358
Cache Hits: 3
`
/tokensave
Enable aggressive save mode
- Maximum compression
- Best for very long technical discussions
- Slight quality trade-off possible
/tokenbalance
Balanced mode (default)
- Good savings with quality preserved
- Recommended for most use cases
/tokenquality
Quality priority mode
- Minimal compression
- Maximum context retention
- Use when precision is critical
/tokenreport
Generate detailed usage report
`
Total Tokens Saved: 8,092
Estimated Cost Saved: $0.016
Compressions Applied: 12
Cache Hits: 5
`
/tokencache clear
Clear all cached responses
/tokenoff
Temporarily disable optimization
Usage Examples
Example 1: Long coding session
`
User: [20 rounds of Python discussion]
TokenSaver: Optimized 15K → 4.5K tokens (70% saved)
`
Example 2: Repeated questions
`
User: "How do I write to a file in Python?"
User: "Python file write method?"
TokenSaver: L2 cache hit - instant response, 0 tokens used
`
Example 3: Topic switching
`
User: Switching from discussing Python to JavaScript...
TokenSaver: "Detected topic change. Start new chat to keep context clean?"
[Yes] [No]
`
Safety Features
TokenSaver never compresses:
- Code blocks (always kept intact)
- Error messages and stack traces
- User-marked important messages
- Messages with high cross-references
Quality Guard:
- Auto-rollback if quality drops > 15%
- One-click restore to uncompressed version
- Snapshots for every compression
Configuration
Default configuration:
`
json
{
"mode": "adaptive",
"compression": "balanced",
"cache": true,
"qualityThreshold": 0.85
}
``
Expected Results
| Conversation Type | Tokens Saved | Quality Impact |
|-------------------|--------------|----------------|
| Technical discussion (50 rounds) | 70% | Minimal |
| Code review | 80% | None |
| Casual chat | 75% | None |
| Quick Q&A | 30-50% | None |
Limitations
- Requires conversation to exceed 3K tokens before compression starts
- First-time queries cannot be cached
- Very short conversations (< 10 messages) see minimal benefit
- Code-heavy conversations benefit most from smart referencing
Related Skills
- shieldclaw: For security scanning
- browser_visible: For web browsing
- file_reader: For reading local files
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