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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.

61

Quality

77%

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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 reference with executable commands, complete code samples, and clearly sequenced workflows for CLI, SDK, and GitHub integration. Its weaknesses are conciseness (marketing fluff and duplicated API coverage) and progressive disclosure (a ~470-line monolith with API references that should live in separate files).

Suggestions

Move the SDK method reference, REST API table, rate limits, and model list into a references/ file (e.g., references/api.md) and link to it, keeping SKILL.md as a lean overview with quick-start examples.

Delete marketing copy such as 'supports 6M+ developers and 80K+ active teams globally' and deduplicate the SDK method list against the REST endpoint table.

Tighten the 'Prompt Engineering Tips' section by keeping only the weak/strong examples and trimming explanatory prose around them.

DimensionReasoningScore

Conciseness

The body is mostly dense, useful reference material (commands, code, tables), but includes padding Claude does not need — 'supports 6M+ developers and 80K+ active teams globally' and similar marketing lines — plus duplication between the SDK method reference and the REST API table. Anchor 3 (mostly efficient but could be tightened); not 4 because the marketing stats and overlapping sections are clear trim candidates.

3 / 5

Actionability

Fully executable throughout: copy-paste commands ('npx v0@latest init/add'), complete TypeScript SDK workflows (create → chat → deploy → download), a ready MCP JSON config, a concrete endpoint table, and weak/strong prompt examples. Matches anchor 5 (copy-paste ready, common cases covered).

5 / 5

Workflow Clarity

The typical workflow is a numbered 5-step sequence (scaffold → init → generate → add → import), and the GitHub branch/PR workflow and integration patterns are clearly sequenced with per-pattern 'best for' framing. Matches anchor 4 (clear sequence, most checkpoints present); not 5 because no explicit validation/verification steps exist, though no destructive or batch operations are involved so the cap at 3 does not apply.

4 / 5

Progressive Disclosure

No bundle files exist; the SDK method reference, REST API table, rate limits, and model list are inlined in a ~470-line monolithic SKILL.md — content that clearly belongs in separate reference files. Clear section headers keep it navigable, matching anchor 3 (some structure, content that should be separate is inline); not 2 because headers make it easy to navigate, not 4 because large reference blocks are not offloaded.

3 / 5

Total

15

/

20

Passed

Description

75%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 solid description with an explicit, concrete 'Use when...' trigger list covering CLI, SDK, and workflow integration scenarios. Its main weakness is the vague capability statement ('expert guidance') that names the domain without saying what the skill concretely does.

Suggestions

Replace the generic 'expert guidance' lead with concrete capability verbs, e.g., 'Generate UI components from prompts, install v0 components via CLI, automate chat/project/deployment workflows via the v0 SDK'.

Add a few natural synonyms users actually type, such as 'v0.dev', 'shadcn generation', or 'Figma/screenshot to code'.

Narrow the broad trigger 'discussing AI code generation' to v0-specific generation to reduce overlap with generic AI code-gen skills.

DimensionReasoningScore

Specificity

The 'what' ('v0 by Vercel expert guidance') is generic, but the description names several concrete actions — 'generating UI components from prompts', 'v0 CLI usage', 'v0 SDK/API integration', 'integrating v0 into development workflows with GitHub and Vercel deployment'. This matches anchor 4 (several specific actions, minor gaps); it is not 5 because the capability statement itself is not a concrete action list, and not 3 because more than 1-2 specific actions are explicitly stated.

4 / 5

Completeness

An explicit 'Use when...' clause with concrete triggers answers 'when' clearly, and 'v0 by Vercel expert guidance' supplies a 'what', but that 'what' is vague about what the skill actually does. Fits anchor 4 (both present, one could be more explicit); not 5 because the 'what' is generic rather than a concrete capability statement.

4 / 5

Trigger Term Quality

Good natural keyword coverage: 'v0', 'UI components', 'prompts', 'v0 CLI', 'v0 SDK/API', 'GitHub', 'Vercel deployment'. A few natural terms users would say are missing (e.g., 'v0.dev', 'shadcn', 'Figma to code'), matching anchor 4 rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

'v0', 'v0 CLI', and 'v0 SDK/API' are highly distinctive product-specific triggers with a clear niche, but the opening 'discussing AI code generation' is broad and could overlap generic AI code-generation skills. Mostly distinct with minor overlap risk — anchor 4.

4 / 5

Total

16

/

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.

Validation — 14 / 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

Path

plugins/vercel/skills/v0-dev/SKILL.md

Reviewed

Table of Contents

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