cloudflare-workers-performance
Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors.
85
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
89%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 a solid skill description with excellent trigger terms and completeness. The 'Use for...' clause provides clear, natural language triggers that match what users would say when experiencing performance issues. The main weakness is that the capabilities are listed as topic areas (CPU, memory, caching, bundle size) rather than concrete actions (e.g., 'analyze CPU bottlenecks', 'reduce bundle size', 'implement caching strategies').
Suggestions
Replace the topic-area list with concrete actions, e.g., 'Analyzes CPU bottlenecks, reduces bundle size, implements caching strategies, and optimizes memory usage for Cloudflare Workers.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Cloudflare Workers performance optimization) and lists areas of focus (CPU, memory, caching, bundle size), but doesn't describe concrete actions like 'reduce bundle size', 'optimize caching strategies', or 'profile CPU usage'. | 2 / 3 |
Completeness | Clearly answers both 'what' (Cloudflare Workers performance optimization with CPU, memory, caching, bundle size) and 'when' (Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors) with explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would actually say: 'slow workers', 'high latency', 'cold starts', 'CPU limits', 'memory issues', 'timeout errors'. These cover common variations of performance-related complaints. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Cloudflare Workers performance optimization. The specific platform (Cloudflare Workers) and focus (performance) make it unlikely to conflict with general coding skills or other cloud platform skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid performance optimization skill with strong actionability through executable code examples and excellent progressive disclosure via clearly signaled reference files. The main weaknesses are moderate verbosity (some inline content could be pushed to reference files) and the lack of an explicit diagnostic workflow with validation checkpoints for verifying that optimizations actually improved performance.
Suggestions
Add a brief diagnostic workflow at the top: measure baseline → identify bottleneck category → apply relevant optimization → verify improvement (e.g., check CPU time decreased)
Move the detailed multi-layer cache implementation and streaming JSON parser to their respective reference files, keeping only brief summaries in the main skill
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient with good use of ❌/✅ patterns, but the Top 10 Performance Errors table is somewhat verbose and some patterns (like the multi-layer cache) are lengthy. The content could be tightened—e.g., the profiling helper and streaming JSON parser sections add bulk that could be in reference files. | 2 / 3 |
Actionability | Provides fully executable TypeScript code examples throughout—streaming transforms, batch processing with D1, multi-layer caching, bundle optimization with tree-shaking and lazy loading. Code is copy-paste ready with concrete patterns, not pseudocode. | 3 / 3 |
Workflow Clarity | The skill covers multiple optimization areas clearly but lacks explicit validation/verification steps. There's no workflow for diagnosing performance issues (e.g., measure → identify bottleneck → apply fix → verify improvement). The 'Quick Wins' and 'Critical Rules' sections provide guidance but no sequenced process with checkpoints. | 2 / 3 |
Progressive Disclosure | Excellent progressive disclosure with a clear overview in the main file and well-signaled one-level-deep references to specific topics (references/cpu-optimization.md, references/memory-optimization.md, etc.), templates, and scripts. The 'When to Load References' section is particularly well-structured for navigation. | 3 / 3 |
Total | 10 / 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.
- Repository
- secondsky/claude-skills
- Commit
88da5ff
- Reviewed
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