vercel-deploy
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
88
83%
Does it follow best practices?
Impact
96%
2.23xAverage score across 3 eval scenarios
Critical
Do not install without reviewing
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description with excellent trigger terms and completeness. The explicit 'Use when' clause with natural user phrases is a strong point. The main weakness is that the 'what' portion could be more specific about the range of Vercel-related actions supported beyond just 'deploy'.
Suggestions
Expand the capability list to include more specific actions like 'configure environment variables, manage custom domains, check deployment status, create preview and production deployments' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Vercel deployment) and the general action (deploy applications and websites), but doesn't list multiple specific concrete actions like configuring environment variables, managing domains, checking deployment status, or rolling back deployments. | 2 / 3 |
Completeness | Clearly answers both 'what' (deploy applications and websites to Vercel) and 'when' (explicit 'Use when' clause with multiple trigger phrases covering different ways users might request deployment). | 3 / 3 |
Trigger Term Quality | Includes excellent natural trigger phrases users would actually say: 'deploy my app', 'deploy and give me the link', 'push this live', 'create a preview deployment'. These cover common variations of deployment requests. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly scoped to Vercel specifically, which distinguishes it from other deployment skills (e.g., AWS, Netlify, Heroku). The trigger terms are deployment-focused and platform-specific, making conflicts unlikely. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured deployment skill with clear, actionable commands and a logical workflow covering the primary path and fallback scenarios. The content is mostly concise but could trim a few explanatory sentences. The external deploy script is referenced but somewhat opaque, which slightly weakens progressive disclosure.
Suggestions
Trim minor verbosity: remove 'The deployment might take a few minutes' (the timeout value already communicates this) and tighten the sandbox permissions explanation.
Add a brief note or link describing what the fallback deploy script supports (e.g., which frameworks it auto-detects) so Claude can better advise users.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient but has some unnecessary explanation. The 'Tell the user' instruction and some of the commentary around sandbox permissions could be tighter. The note about not curling the URL is useful but the overall content has minor padding. | 2 / 3 |
Actionability | Provides fully executable bash commands for each scenario (CLI deploy, fallback script, production deploy). Commands are copy-paste ready with clear flags and paths. The fallback script usage with multiple invocation patterns is concrete and specific. | 3 / 3 |
Workflow Clarity | Clear sequential workflow: check CLI → deploy → fallback if needed. Includes explicit decision points (CLI installed vs not, auth error), timeout guidance, and escalation conditions. The troubleshooting section provides a clear feedback loop for network failures with specific remediation steps. | 3 / 3 |
Progressive Disclosure | Good section organization (Quick Start, Fallback, Production, Troubleshooting) but references an external script directory without explaining what's in it. The content is appropriately sized for a single file, but the fallback script is a black box—a brief note about what frameworks it detects or a link to script documentation would improve navigation. | 2 / 3 |
Total | 10 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- openai/skills
- Commit
50617db
- Reviewed
Table of Contents
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