Benchmark AILANG, Python, and Go code and profile performance bottlenecks.
npx skills add https://github.com/sunholo-data/ailang --skill perf-reviewer
Please help me install this Agent Skill. Skill: Perf Reviewer Source: https://github.com/sunholo-data/ailang/tree/main/.claude/skills/perf-reviewer Command: npx skills add https://github.com/sunholo-data/ailang --skill perf-reviewer
This Skill helps identify performance bottlenecks, run cross-language benchmarks (AILANG vs Python vs Go), and guide optimization opportunities.
High-intent search queries and answers about installing and using this skill.
Cross-language benchmarking compares execution speed and resource use of the same workload across Python, Go, and AILANG to identify which language performs best for your use case. Run `.claude/skills/perf-reviewer/scripts/benchmark.sh` to execute standard benchmarks, or specify a benchmark name like `fibonacci` to test a particular algorithm across all three languages and receive timing data and speedup ratios.
Performance profiling analyzes where your code spends execution time, breaking down compilation and runtime phases to reveal which functions or operations consume the most resources. Use `.claude/skills/perf-reviewer/scripts/profile_ailang.sh <file.ail>` to profile AILANG code and receive actionable optimization recommendations based on the profiling results.
Yes. The Skill runs comparative benchmarks across Python and Go alongside AILANG, measuring execution speed and efficiency to help you decide which language suits your performance requirements. Results include timing data and speedup ratios to guide language selection and optimization opportunities.
Optimization uses benchmark results and profiling analysis to guide code improvements. After running benchmarks and profiling your code, the Skill provides specific recommendations on where and how to refactor bottlenecks, enabling you to prioritize optimization efforts based on measured performance impact.
The Skill supports AILANG, Python, and Go with standard benchmark workloads and custom profiling for AILANG files. It applies to compute-intensive modules where users request language comparisons, cross-platform benchmarking, or optimization guidance backed by measurable performance data.
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