golang-performance
SolidGolang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (see golang-benchmark skill) or debugging workflow (see golang-troubleshooting skill).
Install
Quality Score: 98/100
Skill Content
Details
- Author
- samber
- Repository
- samber/cc-skills-golang
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- Go
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
golang-performance
Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (see golang-benchmark skill) or debugging workflow (see golang-troubleshooting skill).
golang-performance
Go performance optimization techniques including profiling with pprof, memory optimization, concurrency patterns, and escape analysis.
go-performance
Go performance patterns including efficient string handling, type conversions, and container capacity hints. Use when optimizing Go code or writing performance-critical sections.
principle-performance
Performance engineering principles — latency vs throughput, profile-before-optimize discipline, Big-O instincts for common patterns, allocation and GC pressure, data locality and cache-friendliness, N+1 queries on a list endpoint. Auto-load when reviewing hot-path code, choosing data structures, designing batch or streaming pipelines, hunting allocations or GC pauses, weighing latency trade-offs, considering caching, detecting N+1 queries on list endpoint calls, or evaluating scalability.
golang-benchmark
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while golang-performance provides the optimization patterns.