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vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

64

Quality

75%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./.agents/skills/vercel-react-best-practices/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

The body is a well-organized rule index with specific API-level directives and good navigation signaling, but it is token-heavy from inlining all 57 rules, lacks any executable code examples in the body, and references detail files that are not actually bundled. The core fix is to ensure the referenced rules/ and AGENTS.md files exist and to slim the inline catalog toward a true overview.

Suggestions

Bundle the referenced detail files (rules/*.md and AGENTS.md) so the one-level-deep progressive disclosure targets actually exist, or remove the references and inline only the essential examples.

Tighten the body by replacing the full 57-rule inline catalog with a concise category overview (counts + top rules) and point readers to the rule files, reducing token weight while preserving discoverability.

Add at least one short, executable code example in the body (or in each referenced rule file) so the guidance is copy-paste ready rather than directive-only.

DimensionReasoningScore

Conciseness

The body avoids explaining concepts Claude already knows and each rule entry is terse, but it reproduces all 57 rule one-liners inline, which is token-heavy and could be tightened given the same detail lives in referenced files. Not a 1 because it is not padded prose, and not a 3 because the full inline catalog is not lean.

2 / 3

Actionability

Directives name specific concrete APIs (e.g. 'Use Promise.all()', 'Use next/dynamic for heavy components', 'Use React.cache()'), but the body contains no complete executable code examples — those are deferred to external rule files that are not present in the bundle. This is concrete guidance with key implementation details missing, matching the score-2 anchor.

2 / 3

Workflow Clarity

Structure is clear (priority table, 'When to Apply', 'How to Use') and priority ordering gives a sequence, but there is no explicit multi-step workflow with validation checkpoints. Since this is non-destructive reference material the missing feedback loops are not heavily penalized, keeping it above 1, but the absence of any sequenced process prevents a 3.

2 / 3

Progressive Disclosure

References are clearly signaled one level deep ('rules/async-parallel.md', 'AGENTS.md'), but the bundle contains no references/, scripts/, assets/ directories and none of the cited files (rules/*.md, AGENTS.md) exist, so the progressive structure points to absent targets while the full rule catalog is reproduced inline.

2 / 3

Total

8

/

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.

The description is specific, complete, and distinctive: it names concrete actions, surfaces natural trigger terms, and explicitly covers both what the skill does and when to use it. No weaknesses warrant a deduction on any dimension.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('writing, reviewing, or refactoring React/Next.js code') and concrete areas ('data fetching, bundle optimization, or performance improvements'), matching the score-3 anchor of several specific concrete actions rather than merely naming a domain.

3 / 3

Completeness

Explicitly answers both what ('React and Next.js performance optimization guidelines from Vercel Engineering') and when ('This skill should be used when...', 'Triggers on tasks involving...'), with explicit trigger guidance.

3 / 3

Trigger Term Quality

Includes natural terms users would actually say — 'React components', 'Next.js pages', 'data fetching', 'bundle optimization', 'performance improvements' — giving good coverage rather than technical jargon or generic phrasing.

3 / 3

Distinctiveness Conflict Risk

The 'React and Next.js performance optimization' niche is clearly distinct with specific triggers, making it unlikely to fire for unrelated 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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
quran/quran.com-frontend-next
Reviewed

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