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web-perf

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.

95

1.15x
Quality

94%

Does it follow best practices?

Impact

95%

1.15x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is web-perf in cloudflare/skills

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

A strong, highly actionable body: exact MCP tool calls, a validated 5-phase workflow with troubleshooting loops and skip conditions, and clean tabular organization. The main improvement areas are trimming knowledge Claude already has (inlined CWV thresholds, framework config filenames) and moving the Phase 5 codebase-analysis detail into a reference file.

Suggestions

Move the Phase 5 codebase-analysis material (framework detection table, tree-shaking, polyfills, compression checks) into a references/codebase-analysis.md and link to it one level deep, keeping SKILL.md as a lean overview.

Replace or prune the inlined Core Web Vitals threshold table since the skill itself directs retrieval from web.dev/Lighthouse docs for current thresholds — keep only the retrieval pointers.

Trim the framework config-filename table (webpack.config.js, vite.config.ts, etc.), which is knowledge Claude already has, down to a one-line instruction to detect the bundler from config files.

DimensionReasoningScore

Conciseness

The body is table-driven and largely free of fluff — tool-call quick reference, insight names, and a 5-phase checklist with no filler prose. Minor over-explanation of things Claude already knows: the inlined Core Web Vitals threshold table (which the skill itself says should come from retrieval) and the framework config-filename table ("Webpack: webpack.config.js", etc.), both of which could be trimmed. It sits above the score-3 anchor because the padding is minor, not 'some unnecessary explanation'.

4 / 5

Actionability

Fully concrete and executable: exact tool signatures like `performance_start_trace(autoStop: true, reload: true)`, `performance_analyze_insight(insightSetId: "<id-from-trace>", insightName: "LCPBreakdown")`, `list_network_requests(resourceTypes: ["Script", "Stylesheet", ...])`, plus real insight names (LCPBreakdown, CLSCulprits) and an MCP config snippet. The Quick Reference table makes the common cases copy-paste ready, matching the score-5 anchor.

5 / 5

Workflow Clarity

A clearly sequenced 5-phase workflow with a copyable progress checklist, an explicit pre-flight validation step ("Run this before starting... If unavailable, STOP"), troubleshooting feedback loops in Phase 1 and Phase 2 ("If trace returns empty or fails, verify the page loaded...", "If an insight name doesn't work, check the insightSetId..."), and explicit skip conditions (Phase 5 "Skip if auditing a third-party site"). This matches the anchor requiring explicit validation steps and error-recovery loops.

5 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), so all content is inlined in a ~200-line SKILL.md. Section headers are clear and well-organized and external retrieval sources are cleanly listed, but content like the framework-detection table and codebase-analysis subsections (polyfills, tree-shaking, compression) would fit naturally in a one-level-deep reference file. Good structure with minor organization gaps — the score-4 anchor.

4 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: third person, concrete and comprehensive on capabilities, with an explicit 'Use when...' trigger clause covering natural user phrasings (audit, profile, debug, Lighthouse, site speed). It clearly distinguishes the skill's niche and carries minimal conflict risk.

DimensionReasoningScore

Specificity

The description lists multiple concrete, specific actions — "Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index)", "identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps" — comprehensive coverage of the skill's capabilities, matching the anchor's example breadth. It exceeds the score-4 anchor because coverage is comprehensive rather than having minor gaps.

5 / 5

Completeness

Both halves are explicit: the "what" is "Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals... identifies render-blocking resources..." and the "when" is an explicit "Use when asked to audit, profile, debug, or optimize..." clause with concrete trigger phrases. This mirrors the score-5 anchor's structure exactly.

5 / 5

Trigger Term Quality

Natural user phrasing is well covered: "audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed" — these are exactly the words a user would say when needing this skill. Includes both action verbs and domain synonyms (Lighthouse, site speed), matching the comprehensive-synonyms anchor.

5 / 5

Distinctiveness Conflict Risk

A clear niche (web performance auditing via Chrome DevTools MCP with Core Web Vitals tooling) with distinct triggers that would not naturally route to other skills. The trailing "Biases towards retrieval from current documentation over pre-trained knowledge" is slightly unusual but doesn't create conflict risk.

5 / 5

Total

20

/

20

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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