tools-only openrouter-performance-tuning
Optimize OpenRouter performance for speed and quality
Directory Structure
openrouter-performance-tuning/
├── 📄 SKILL.md # Main skill definition with YAML frontmatter
└── 📂 examples/ # Optional examples directory
├── 🐍 latency_optimizer.py # Request latency optimization
├── 🐍 throughput_manager.py # Concurrent request handling
└── 🐍 benchmark_suite.py # Performance benchmarking tools
File Descriptions
| File | Type | Purpose |
|---|---|---|
SKILL.md |
📄 Markdown | Skill definition with performance patterns |
latency_optimizer.py |
🐍 Python | Minimize time to first token |
throughput_manager.py |
🐍 Python | Maximize concurrent request capacity |
benchmark_suite.py |
🐍 Python | Measure and track performance metrics |
Summary
Category: advanced
Target Audience: Performance engineer
Trigger Phrases: openrouter performance, optimize openrouter, openrouter latency, openrouter throughput
What This Skill Does
This skill teaches OpenRouter performance optimization:
- Time to first token optimization
- Connection pooling and keep-alive
- Concurrent request batching
- Streaming for perceived latency
- Model selection for speed vs quality
- Geographic endpoint selection
Technical Success Criteria
- P95 latency reduced by 30%+
- Throughput increased to target levels
- Bottlenecks identified and resolved
Business Success Criteria
- Improved user experience
- Higher system capacity
- Production performance targets met
Related Skills
openrouter-caching-strategy- Reduce API callsopenrouter-streaming-setup- Real-time responsesopenrouter-rate-limits- Throughput optimization