Summary
Covers the full deployment lifecycle for Vercel projects: preview and production deploys, promoting validated previews to prod without rebuilding, rolling back when things break, and inspecting deployment metadata. The CI/CD patterns are the real value here, with complete workflows for GitHub Actions, GitLab, and Bitbucket that use the --prebuilt flag to separate building from deploying. There's a helpful clarification that OIDC federation is for runtime backend auth in your functions, not for authenticating the CLI in CI pipelines, which still needs VERCEL_TOKEN. The promote-after-tests pattern is worth bookmarking if you're gating production releases on E2E results.
Install to Claude Code
npx -y skills add vercel/vercel-plugin --skill deployments-cicd --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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