r-benchmarking
R benchmarking, profiling, and performance analysis with reproducibility and measurement rigor. Use when timing R code execution, profiling with Rprof or profvis, measuring memory allocations, comparing function performance, or optimizing bottlenecks—e.g., "benchmark R function", "profvis profiling", "microbenchmark comparison", "performance analysis", "memory profiling".
94
Does it follow best practices?
Validation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the marks. It provides specific concrete actions, includes natural trigger terms with tool names and common phrases, explicitly states when to use it, and carves out a clear niche in R performance analysis that won't conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'timing R code execution', 'profiling with Rprof or profvis', 'measuring memory allocations', 'comparing function performance', 'optimizing bottlenecks'. These are distinct, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (benchmarking, profiling, performance analysis with reproducibility) AND when with explicit 'Use when...' clause listing specific trigger scenarios and example phrases users might say. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'benchmark R function', 'profvis profiling', 'microbenchmark comparison', 'performance analysis', 'memory profiling', plus tool names like 'Rprof' and 'profvis' that users familiar with R would naturally mention. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with R-specific terminology (Rprof, profvis, microbenchmark) and clear niche focus on R performance analysis. Unlikely to conflict with general coding skills or other language-specific tools. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with excellent organization, clear workflow, and appropriate progressive disclosure to reference files. The main weakness is the lack of concrete, executable code examples in the main skill file—it describes what to do but doesn't show it. Adding even minimal working examples for the most common tools (bench::mark, system.time) would significantly improve actionability.
Suggestions
Add a minimal executable code example for bench::mark() showing basic usage with key parameters (iterations, check, memory)
Include a quick system.time() example for macro timing to demonstrate the simplest case
Add a brief profvis example showing the complete workflow from profiling to visualization
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, assuming Claude's competence with R. No unnecessary explanations of what benchmarking is or how R works—it jumps straight to tool selection and workflow guidance. | 3 / 3 |
Actionability | While the decision guide and workflow are clear, the skill lacks concrete executable code examples. It references tools and parameters but doesn't provide copy-paste ready snippets demonstrating actual usage of bench::mark(), system.time(), or profvis. | 2 / 3 |
Workflow Clarity | The 5-step workflow is clearly sequenced with explicit checkpoints (announce goal, apply reproducibility rules, provide code, explain interpretation, call out pitfalls). The output contract serves as a validation checklist. | 3 / 3 |
Progressive Disclosure | Excellent structure with a clear overview and well-signaled one-level-deep references to specific tool documentation. The decision guide table provides quick navigation, and references are clearly labeled by use case. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
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