performance
FeaturedCLI performance optimization - startup time, memory usage, token savings benchmarking
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Quality Score: 87/100
Skill Content
Details
- Author
- rtk-ai
- Repository
- rtk-ai/rtk
- Created
- 7 months ago
- Last Updated
- today
- Language
- Rust
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
perf
Performance analysis and optimization workflow
performance
Stack-agnostic performance: measure first, find the bottleneck, then optimise. N+1, needless allocation, wrong async boundary, missing index/cache, heavy payload. No premature optimisation.
perf
Measurement-first performance work — define the budget and metric, measure a reproducible baseline, profile to find the REAL hotspot, fix the biggest lever first (algorithmic > batching/caching > micro), re-measure after every single change, stop at the budget. TRIGGER when: something is slow, memory-hungry, or the user wants it faster/cheaper ("optimize", "why is this slow", "speed this up", "reduce latency/memory"). DO NOT TRIGGER when: it's a correctness bug that happens to involve time (timeout because of a hang → /diagnose), or a whole-codebase perf *audit* with no target metric (use the performance-analyzer agent directly).