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performance-optimization

Profiles, reduces frontend/backend costs: split bundles, optimize assets, apply caching, fix Core Web Vitals regressions. Use when profiling Lighthouse/CI regressions, reducing bundle size, or fixing high CLS/LCP/TTI metrics.

95

1.00x
Quality

96%

Does it follow best practices?

Impact

90%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

92%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a strong, well-structured performance optimization skill that provides concrete, executable guidance with a clear profiling workflow including validation checkpoints. The content is concise and respects Claude's intelligence. The main weakness is the reference to REFERENCE.md which doesn't exist in the bundle, slightly undermining the progressive disclosure strategy.

Suggestions

Provide the referenced REFERENCE.md file in the bundle to support the progressive disclosure claim, or remove the reference if the content is self-contained.

DimensionReasoningScore

Conciseness

The content is lean and efficient. It uses tables for domain patterns instead of verbose prose, avoids explaining basic concepts Claude already knows, and every section earns its place. The rule at the top is crisp and actionable.

3 / 3

Actionability

Provides fully executable code examples (debounce, dynamic imports, React.memo with Profiler), specific tool names, concrete commands, and a copy-paste-ready review checklist. The guidance is specific rather than abstract.

3 / 3

Workflow Clarity

The profiling workflow has clear numbered steps with explicit checkpoints at each stage, recovery actions (e.g., reproduce locally if noisy), iteration loops for persistent regressions, and a rollback plan. This covers validation and feedback loops well.

3 / 3

Progressive Disclosure

The content references REFERENCE.md for domain-specific patterns but no bundle files exist to support this reference. External links are provided but the REFERENCE.md is not available, making the progressive disclosure partially broken. The content itself is well-structured with clear sections.

2 / 3

Total

11

/

12

Passed

Description

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 a strong skill description that concisely covers specific capabilities (bundle splitting, asset optimization, caching, Core Web Vitals fixes) with an explicit 'Use when' clause containing natural trigger terms. It uses proper third-person voice and is clearly distinguishable from other skills due to its focused performance optimization niche with domain-specific terminology.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'split bundles', 'optimize assets', 'apply caching', 'fix Core Web Vitals regressions', and 'profiles/reduces frontend/backend costs'. These are clearly defined, actionable capabilities.

3 / 3

Completeness

Clearly answers both 'what' (profiles costs, splits bundles, optimizes assets, applies caching, fixes Core Web Vitals) and 'when' with an explicit 'Use when...' clause covering profiling Lighthouse/CI regressions, reducing bundle size, or fixing high CLS/LCP/TTI metrics.

3 / 3

Trigger Term Quality

Includes strong natural keywords users would actually say: 'Lighthouse', 'bundle size', 'CLS', 'LCP', 'TTI', 'Core Web Vitals', 'caching', 'CI regressions'. These cover the domain well with terms developers naturally use when discussing performance optimization.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche around frontend/backend performance optimization with distinct triggers like Lighthouse, Core Web Vitals, CLS/LCP/TTI, and bundle size. Unlikely to conflict with general coding or deployment skills.

3 / 3

Total

12

/

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
monkilabs/opencastle
Reviewed

Table of Contents

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