golang-performanceGolang 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 `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).
Install via ClawdBot CLI:
clawdbot install samber/golang-performanceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
Exec(Calls external URL not in known-safe list
https://github.com/samber/cc-skills-golangAI Analysis
The skill's external calls are limited to fetching its own documentation from a known GitHub repository and installing standard Go tools, which aligns with its stated purpose. The 'UNSAFE_SHELL' signal is a false positive, as the allowed Bash commands are scoped to standard development tools (go, git, benchstat, etc.) and do not include arbitrary or destructive system commands.
Audited Apr 18, 2026 · audit v1.0
Generated Oct 6, 2026
A backend team notices p99 latency spikes on their Go microservice and uses the skill to profile hot paths, reduce per-request allocations, and tune GC. benchstat confirms statistically significant gains before each commit.
An analytics platform processes millions of events per second in Go and needs to cut CPU and memory usage to reduce cloud costs. The skill guides allocation reduction, pooling, and memory layout improvements on the hot path.
A low-latency trading system written in Go requires sub-millisecond order matching. Engineers use the skill's iterative methodology to benchmark atomic function changes and verify each improvement with benchstat.
A multi-tenant SaaS product running on Kubernetes sees ballooning memory footprints and GC pauses. The skill's review mode fans out sub-agents across the codebase to find missing connection pools, unbounded goroutines, and wrong data structures.
A staff engineer performs a performance-focused code review on a large Go PR. The skill helps suggest benchmark coverage and pinpoint quick wins like unnecessary allocations or cache misses outside the existing hot path.
By reducing allocations and CPU usage in Go services, companies directly lower their compute and memory bills on AWS/GCP/Azure. The skill's benchstat-verified improvements translate into measurable infrastructure savings per quarter.
Agencies and consultancies offer specialized Go performance audits using this skill as a repeatable methodology. Deliverables include benchstat reports, PR-ready patches, and architecture recommendations for high-traffic Go services.
Companies selling Go-based infrastructure products (proxies, databases, message queues) use the skill to safely increase throughput per node. Higher performance per core becomes a competitive differentiator and reduces customer TCO.
💬 Integration Tip
Requires Go, benchstat, and optionally fgprof/pprof; pair with a benchmark skill for measurement rigor and run the iterative cycle one change at a time to avoid confounding results.
Scored Sep 28, 2026
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