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vercel-optimize

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

76

Quality

96%

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The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 tightly structured, fully executable pipeline doc with explicit validation gates and well-organized one-level references. Its only weakness is mild verbosity in a few cautionary passages.

DimensionReasoningScore

Conciseness

Dense and assumption-rich with no padded concept explanations, but a few cautionary stretches (e.g. the scope-resolution paragraph and repeated 'do not fall back to code-only' phrasing) could be trimmed.

4 / 5

Actionability

Fully executable copy-paste node/bash commands with concrete args cover every pipeline stage, and specific examples address common cases (blocker handling, budget expansion, regen loop).

5 / 5

Workflow Clarity

Clear numbered sequence with explicit validation checkpoints (jq blocker probe, stop-and-ask prompts, verify-and-regen, regen-on-failure loop) and feedback loops for batch/destructive-adjacent operations.

5 / 5

Progressive Disclosure

SKILL.md is an overview that offloads detail to one-level-deep references — all verified real files in references/ (doctrine.md, data-collection.md, recommendations.md, etc.) — with well-signaled navigation; playbook/support-topic subfolders are surfaced via READMEs.

5 / 5

Total

19

/

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.

A highly specific, well-anchored description that concretely states both capability and trigger conditions with comprehensive natural keywords. It is third-person, free of fluff, and clearly distinguishable.

DimensionReasoningScore

Specificity

Enumerates concrete actions across the whole pipeline — 'Collect Vercel metrics, usage, project config, and code scan results', 'investigate only metric-backed candidates', 'produce ranked recommendations' — giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both 'what' (collect → investigate → ranked recommendations) and 'when' (the 'Trigger for...' clause lists concrete trigger phrases).

5 / 5

Trigger Term Quality

Comprehensive natural triggers including product-specific terms — 'Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests'.

5 / 5

Distinctiveness Conflict Risk

Vercel-specific niche anchored to named product features and frameworks, giving a clear trigger niche with minimal overlap risk against other skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
vercel-labs/agent-skills
Reviewed

Table of Contents

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