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v0-dev

v0 by Vercel expert guidance. Use when discussing AI code generation, generating UI components from prompts, v0 CLI usage, v0 SDK/API integration, or integrating v0 into development workflows with GitHub and Vercel deployment.

62

Quality

75%

Does it follow best practices?

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SecuritybySnyk

High

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tessl review fix ./plugins/vercel/skills/v0-dev/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%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 highly actionable, code-rich reference for v0 integration with clear workflows, but it is a long monolithic file that would benefit from progressive disclosure into separate reference files and trimming of marketing/role-play padding.

Suggestions

Move the SDK method reference and REST API table into separate reference files (e.g., SDK.md, REST_API.md) and link to them from the body to improve progressive disclosure.

Remove marketing statistics ('6M+ developers', '80K+ active teams') and the 'You are an expert in v0' role-play framing to tighten conciseness.

Add an explicit validation step (e.g., verify the deployment URL returns 200 before declaring success) to the deployment workflows to strengthen workflow clarity.

DimensionReasoningScore

Conciseness

Mostly concrete reference material, but padded with unnecessary marketing ('6M+ developers and 80K+ active teams globally') and role-play framing ('You are an expert in v0') that could be trimmed.

3 / 5

Actionability

Dense with copy-paste-ready code and commands — CLI invocations, v0-sdk TypeScript examples, REST API endpoint table, and MCP JSON config — covering the common cases comprehensively.

5 / 5

Workflow Clarity

Clear multi-step sequences ('Typical Workflow', 'Full Project Workflow Create → Chat → Deploy', GitHub PR workflow) are well numbered, but lack explicit validation checkpoints for the deployment step.

4 / 5

Progressive Disclosure

Well-organized section headers, but the 470-line body is monolithic with no bundle files or references; the SDK method reference and REST API table are candidates for separate files.

3 / 5

Total

15

/

20

Passed

Description

78%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 strong, specific description with an explicit 'Use when' trigger and a clear v0-specific niche. It could be tightened by replacing the abstract 'expert guidance' framing with concrete actions and adding a few synonyms (v0.dev, shadcn) for broader trigger coverage.

DimensionReasoningScore

Specificity

Lists several specific capabilities — 'AI code generation, generating UI components from prompts, v0 CLI usage, v0 SDK/API integration' — but omits MCP, REST API, and AI SDK integration that the body covers, leaving minor gaps.

4 / 5

Completeness

Explicitly provides both a 'what' (v0 expert guidance plus enumerated capabilities) and a clear 'Use when...' trigger clause, though the 'what' framing ('expert guidance') is somewhat abstract.

4 / 5

Trigger Term Quality

Good coverage of natural terms users would say ('AI code generation', 'v0 CLI usage', 'v0 SDK/API integration', 'GitHub and Vercel deployment'), but missing common synonyms like 'v0.dev' and 'shadcn'.

4 / 5

Distinctiveness Conflict Risk

The 'v0 by Vercel' niche is highly specific with distinctive triggers ('v0 CLI', 'v0 SDK/API'), giving minimal conflict risk with other skills.

5 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
openai/plugins
Reviewed

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