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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.

65

Quality

77%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Fix and improve this skill with Tessl

tessl review fix ./plugins/cloudflare-workers/skills/cloudflare-workers-performance/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%

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, actionable skill with excellent concrete code examples covering CPU, memory, caching, and bundle optimization for Cloudflare Workers. Its main weaknesses are the lack of a clear diagnostic/verification workflow (measure → optimize → validate cycle) and moderate verbosity — some inline content could be moved to the referenced files to keep the overview leaner. The referenced bundle files don't exist, undermining the progressive disclosure structure.

Suggestions

Add an explicit diagnostic workflow: 1) Identify bottleneck (CPU/memory/network) → 2) Measure baseline → 3) Apply optimization → 4) Verify improvement with benchmarks, including specific commands for each step.

Move the detailed code examples (multi-layer cache, streaming JSON parser, batch processing) into the referenced template/reference files and keep only the 'Quick Wins' patterns inline to reduce SKILL.md length.

Provide the referenced bundle files (references/*.md, templates/*.ts, scripts/*.sh) or remove the references to avoid dead links.

DimensionReasoningScore

Conciseness

Generally efficient with good use of code examples and tables, but the 'Top 10 Performance Errors' table and some sections (like the multi-layer cache) are somewhat verbose. The critical rules section overlaps with content covered elsewhere. Some explanatory comments (like '// ❌ Bad' patterns) are helpful but add bulk.

2 / 3

Actionability

Provides fully executable TypeScript code examples throughout — streaming JSON parsing, batch processing with generators, multi-layer caching implementation, profiling middleware, and bundle optimization patterns. Code is copy-paste ready with clear before/after patterns.

3 / 3

Workflow Clarity

The skill covers multiple optimization areas with clear patterns, but lacks explicit sequenced workflows with validation checkpoints. There's no 'diagnose → measure → optimize → verify' loop. For performance optimization (which can involve destructive changes to production workers), missing verification steps cap this at 2.

2 / 3

Progressive Disclosure

References to specific files (references/cpu-optimization.md, templates/performance-middleware.ts, scripts/benchmark.sh) are well-signaled and one-level deep, which is good structure. However, no bundle files are provided, so these references are unverifiable. The main content also includes substantial inline code that could be offloaded to referenced files, making the SKILL.md longer than ideal for an overview.

2 / 3

Total

9

/

12

Passed

Description

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 real user pain points. The main weakness is that the capabilities are listed as topic areas (CPU, memory, caching, bundle size) rather than concrete actions (e.g., 'reduce bundle size', 'optimize caching headers', 'diagnose CPU bottlenecks').

Suggestions

Replace the topic-area list with concrete actions, e.g., 'Diagnoses CPU bottlenecks, reduces bundle size, optimizes caching strategies, and addresses memory issues in Cloudflare Workers.'

DimensionReasoningScore

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).

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 pain points users would describe.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — the combination of 'Cloudflare Workers' with specific performance-related triggers like 'cold starts', 'CPU limits', and 'timeout errors' creates a clear niche that is unlikely to conflict with other skills.

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
secondsky/claude-skills
Reviewed

Table of Contents

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