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vercel-queues

Vercel Queues guidance (public beta) — durable event streaming with topics, consumer groups, retries, and delayed delivery. $0.60/1M ops. Powers Workflow DevKit. Use when building async processing, fan-out patterns, or event-driven architectures.

66

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

Highly actionable reference content with excellent executable examples and clear consumer/retry semantics. The main weaknesses are a single monolithic file with no progressive disclosure to bundle files, and time-sensitive specifics embedded in the main body that will age.

Suggestions

Split detailed material (full API reference, limits table, transport details) into one-level-deep reference files under references/ and link to them from a concise SKILL.md overview.

Move or isolate time-sensitive specifics (the Feb 2026 beta date, package version, pricing) so the core guidance stays stable as the library matures.

Add an explicit local-development validation checkpoint (e.g., confirm a send round-trips through the in-process handler) to strengthen the workflow feedback loop.

DimensionReasoningScore

Conciseness

Mostly lean — tables and code carry the content with little basic-concept padding — but time-sensitive specifics (Feb 27 2026 date, '@vercel/queue@^0.1.3', pricing) sit in the main body rather than a deprecated/old-patterns section, a minor staleness penalty.

4 / 5

Actionability

Fully executable, copy-paste-ready code for publishing, push consumers, vercel.json triggers, poll consumers, custom-region clients, and transports, covering the common cases.

5 / 5

Workflow Clarity

Consumer setup is clearly sequenced with acknowledge/retry semantics and a give-up policy, plus 'When to Use / When NOT to Use' decision guidance; no explicit validate→fix→retry loop, but the skill is reference-oriented rather than a destructive batch workflow.

4 / 5

Progressive Disclosure

Well-sectioned with headers and tables, but ~195 lines of API reference, limits, and examples are all inlined in a single SKILL.md with no bundle files to offload detail into one-level-deep references.

3 / 5

Total

16

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20

Passed

Description

83%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 description that concisely states what Vercel Queues does and gives explicit 'Use when' triggers with natural keywords. Minor room to add action verbs and a few more synonyms, but it is clear, specific, and distinctive.

DimensionReasoningScore

Specificity

Lists several concrete capabilities — 'topics, consumer groups, retries, and delayed delivery' — naming the domain plus specific features, with only minor gaps in action-level verbs.

4 / 5

Completeness

Explicitly answers both what ('durable event streaming with topics, consumer groups, retries, and delayed delivery') and when ('Use when building async processing, fan-out patterns, or event-driven architectures') with concrete trigger phrases.

5 / 5

Trigger Term Quality

'Use when building async processing, fan-out patterns, or event-driven architectures' provides good natural keyword coverage a developer would say, missing only a few synonyms.

4 / 5

Distinctiveness Conflict Risk

The Vercel Queues niche is clear and Vercel-scoped, with only minor overlap risk against closely related Workflow/Cron skills it explicitly contrasts.

4 / 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

Table of Contents

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