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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".

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name vercel-deploy description 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". Vercel Deploy Deploy any project to Vercel instantly. Always deploy as preview (not production) unless the user explicitly asks for production. Prerequisites Check whether the Vercel CLI is installed without escalated permissions (for example, command -v vercel ). Only escalate the actual deploy command if sandboxing blocks the deployment network calls ( sandbox_permissions=require_escalated ). The deployment might take a few minutes. Use appropriate timeout values. Quick Start Check whether the Vercel CLI is installed (no escalation for this check): command -v vercel If vercel is installed, run this (with a 10 minute timeout): vercel deploy [path] -y Important: Use a 10 minute (600000ms) timeout for the deploy command since builds can take a while. If vercel is not installed, or if the CLI fails with "No existing credentials found", use the fallback method below. Fallback (No Auth) If CLI fails with auth error, use the deploy script: skill_dir= "<path-to-skill>" # Deploy current directory bash " $skill_dir /scripts/deploy.sh" # Deploy specific project bash " $skill_dir /scripts/deploy.sh" /path/to/project # Deploy existing tarball bash " $skill_dir /scripts/deploy.sh" /path/to/project.tgz The script handles framework detection, packaging, and deployment. It waits for the build to complete and returns JSON with previewUrl and claimUrl . Tell the user: "Your deployment is ready at [previewUrl]. Claim it at [claimUrl] to manage your deployment." Production Deploys Only if user explicitly asks: vercel deploy [path] --prod -y Output Show the user the deployment URL. For fallback deployments, also show the claim URL. Do not curl or fetch the deployed URL to verify it works. Just return the link. Troubleshooting Escalated Network Access If deployment fails due to network issues (timeouts, DNS errors, connection resets), rerun the actual deploy command with escalated permissions (use sandbox_permissions=require_escalated ). Do not escalate the command -v vercel installation check. The deploy requires escalated network access when sandbox networking blocks outbound requests. Example guidance to the user: The deploy needs escalated network access to deploy to Vercel. I can rerun the command with escalated permissions—want me to proceed?
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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