deployments-cicd

por openai

Orientação especializada em implantação e CI/CD da Vercel. Use ao implantar, promover, reverter, inspecionar implantações, construir com --prebuilt ou configurar CI…

npx skills add https://github.com/openai/plugins --skill deployments-cicd

Vercel Deployments & CI/CD

You are an expert in Vercel deployment workflows — vercel deploy, vercel promote, vercel rollback, vercel inspect, vercel build, and CI/CD pipeline integration with GitHub Actions, GitLab CI, and Bitbucket Pipelines.

Deployment Commands

Preview Deployment

# Deploy from project root (creates preview URL)
vercel

# Equivalent explicit form
vercel deploy

Preview deployments are created automatically for every push to a non-production branch when using Git integration. They provide a unique URL for testing.

Production Deployment

# Deploy directly to production
vercel --prod
vercel deploy --prod

# Force a new deployment (skip cache)
vercel --prod --force

Build Locally, Deploy Build Output

# Build locally (uses development env vars by default)
vercel build

# Build with production env vars
vercel build --prod

# Deploy only the build output (no remote build)
vercel deploy --prebuilt
vercel deploy --prebuilt --prod

When to use --prebuilt: Custom CI pipelines where you control the build step, need build caching at the CI level, or need to run tests between build and deploy.

Promote & Rollback

# Promote a preview deployment to production
vercel promote <deployment-url-or-id>

# Rollback to the previous production deployment
vercel rollback

# Rollback to a specific deployment
vercel rollback <deployment-url-or-id>

Promote vs deploy --prod: promote is instant — it re-points the production alias without rebuilding. Use it when a preview deployment has been validated and is ready for production.

Inspect Deployments

# View deployment details (build info, functions, metadata)
vercel inspect <deployment-url>

# List recent deployments
vercel ls

# View logs for a deployment
vercel logs <deployment-url>
vercel logs <deployment-url> --follow

CI/CD Integration

Required Environment Variables

Every CI pipeline needs these three variables:

VERCEL_TOKEN=<your-token>        # Personal or team token
VERCEL_ORG_ID=<org-id>           # From .vercel/project.json
VERCEL_PROJECT_ID=<project-id>   # From .vercel/project.json

Set these as secrets in your CI provider. Never commit them to source control.

GitHub Actions

name: Deploy to Vercel
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install Vercel CLI
        run: npm install -g vercel

      - name: Pull Vercel Environment
        run: vercel pull --yes --environment=production --token=${{ secrets.VERCEL_TOKEN }}

      - name: Build
        run: vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}

      - name: Deploy
        run: vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_TOKEN }}

OIDC Federation (Secure Backend Access)

Vercel OIDC federation is for secure backend access — letting your deployed Vercel functions authenticate with third-party services (AWS, GCP, HashiCorp Vault) without storing long-lived secrets. It does not replace VERCEL_TOKEN for CLI deployments.

What OIDC does: Your Vercel function requests a short-lived OIDC token from Vercel at runtime, then exchanges it with an external provider's STS/token endpoint for scoped credentials.

What OIDC does not do: Authenticate the Vercel CLI in CI pipelines. All vercel pull, vercel build, and vercel deploy commands still require --token=${{ secrets.VERCEL_TOKEN }}.

When to use OIDC:

  • Serverless functions that need to call AWS APIs (S3, DynamoDB, SQS)
  • Functions authenticating to GCP services via Workload Identity Federation
  • Any runtime service-to-service auth where you want to avoid storing static secrets in Vercel env vars

GitLab CI

deploy:
  image: node:20
  stage: deploy
  script:
    - npm install -g vercel
    - vercel pull --yes --environment=production --token=$VERCEL_TOKEN
    - vercel build --prod --token=$VERCEL_TOKEN
    - vercel deploy --prebuilt --prod --token=$VERCEL_TOKEN
  only:
    - main

Bitbucket Pipelines

pipelines:
  branches:
    main:
      - step:
          name: Deploy to Vercel
          image: node:20
          script:
            - npm install -g vercel
            - vercel pull --yes --environment=production --token=$VERCEL_TOKEN
            - vercel build --prod --token=$VERCEL_TOKEN
            - vercel deploy --prebuilt --prod --token=$VERCEL_TOKEN

Common CI Patterns

Preview Deployments on PRs

# GitHub Actions
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  preview:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm install -g vercel
      - run: vercel pull --yes --environment=preview --token=${{ secrets.VERCEL_TOKEN }}
      - run: vercel build --token=${{ secrets.VERCEL_TOKEN }}
      - id: deploy
        run: echo "url=$(vercel deploy --prebuilt --token=${{ secrets.VERCEL_TOKEN }})" >> $GITHUB_OUTPUT
      - name: Comment PR
        uses: actions/github-script@v7
        with:
          script: |
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: `Preview: ${{ steps.deploy.outputs.url }}`
            })

Promote After Tests Pass

jobs:
  deploy-preview:
    # ... deploy preview ...
    outputs:
      url: ${{ steps.deploy.outputs.url }}

  e2e-tests:
    needs: deploy-preview
    runs-on: ubuntu-latest
    steps:
      - run: npx playwright test --base-url=${{ needs.deploy-preview.outputs.url }}

  promote:
    needs: [deploy-preview, e2e-tests]
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
      - run: npm install -g vercel
      - run: vercel promote ${{ needs.deploy-preview.outputs.url }} --token=${{ secrets.VERCEL_TOKEN }}

Global CLI Flags for CI

FlagPurpose
--token <token>Authenticate (required in CI)
--yes / -ySkip confirmation prompts
--scope <team>Execute as a specific team
--cwd <dir>Set working directory

Best Practices

  1. Always use --prebuilt in CI — separates build from deploy, enables build caching and test gates
  2. Use vercel pull before build — ensures correct env vars and project settings
  3. Prefer promote over re-deploy — instant, no rebuild, same artifact
  4. Use OIDC federation for runtime backend access — lets Vercel functions auth to AWS/GCP without static secrets (does not replace VERCEL_TOKEN for CLI)
  5. Pin the Vercel CLI version in CInpm install -g vercel@latest can break unexpectedly
  6. Add --yes flag in CI — prevents interactive prompts from hanging pipelines

Deployment Strategy Matrix

ScenarioStrategyCommands
Standard team workflowGit-push deployPush to main/feature branches
Custom CI/CD (Actions, CircleCI)Prebuilt deployvercel build && vercel deploy --prebuilt
Monorepo with TurborepoAffected + remote cacheturbo run build --affected --remote-cache
Preview for every PRDefault behaviorAuto-creates preview URL per branch
Promote preview to productionCLI promotionvercel promote <url>
Atomic deploys with DB migrationsTwo-phaseRun migration → verify → vercel promote
Edge-first architectureEdge FunctionsSet runtime: 'edge' in route config

Common Build Errors

ErrorCauseFix
ERR_PNPM_OUTDATED_LOCKFILELockfile doesn't match package.jsonRun pnpm install, commit lockfile
NEXT_NOT_FOUNDRoot directory misconfiguredSet rootDirectory in Project Settings
Invalid next.config.jsConfig syntax errorValidate config locally with next build
functions/api/*.js mismatchWrong file structureMove to app/api/ directory (App Router)
Error: EPERMFile permission issue in buildDon't chmod in build scripts; use postinstall

Deploy Summary Format

Present a structured deploy result block:

## Deploy Result
- **URL**: <deployment-url>
- **Target**: production | preview
- **Status**: READY | ERROR | BUILDING | QUEUED
- **Commit**: <short-sha>
- **Framework**: <detected-framework>
- **Build Duration**: <duration>

If the deployment failed, append:

- **Error**: <summary of failure from logs>

For production deploys, also include:

### Post-Deploy Observability
- **Error scan**: <N errors found / clean> (scanned via vercel logs --level error --since 1h)
- **Drains**: <N configured / none>
- **Monitoring**: <active / gaps identified>

Deploy Next Steps

Based on the deployment outcome:

  • Success (preview) → "Visit the preview URL to verify. When ready, run /deploy prod to promote to production."
  • Success (production) → "Your production site is live. Run /status to see the full project overview."
  • Build error → "Check the build logs above. Common fixes: verify build script in package.json, check for missing env vars with /env list, ensure dependencies are installed."
  • Missing env vars → "Run /env pull to sync environment variables locally, or /env list to review what's configured on Vercel."
  • Monorepo issues → "Ensure the correct project root is configured in Vercel project settings. Check vercel.json for rootDirectory."
  • Post-deploy errors detected → "Review errors above. Check vercel logs <url> --level error for details. If drains are configured, correlate with external monitoring."
  • No monitoring configured → "Set up drains or install an error tracking integration before the next production deploy. Run /status for a full observability diagnostic."

Official Documentation

Mais skills de openai

user-context
openai
Carregar ou gerenciar as preferências de roteamento de origem duráveis, a lógica de integração, o progresso de configuração e o registro da camada semântica do plugin Data Analytics.
official
notion-research-documentation
openai
Pesquise conteúdo do Notion e sintetize em briefs estruturados, relatórios ou comparações com citações. Pesquise e busque páginas do Notion usando consultas direcionadas, depois organize os achados por tema com citações inline das fontes e uma seção de referências. Escolha entre quatro formatos de saída (brief rápido, resumo de pesquisa, comparação, relatório abrangente) com base no escopo e no objetivo do usuário. Crie e atualize páginas do Notion usando modelos integrados; vincule fontes diretamente e acompanhe alterações à medida que novas informações chegam...
official
rcsb-pdb-skill
openai
Enviar solicitações compactas do RCSB PDB para metadados principais, consultas da API de busca e downloads FASTA. Use quando um usuário desejar resumos concisos do RCSB; salve JSON bruto ou…
official
pdf
openai
We need to translate the given text from English to Brazilian Portuguese. The text describes a skill related to PDF handling. The name "pdf" is to be preserved, but it appears in the text as "PDF" (uppercase). The instruction says "Do not include the name unless it appears in the source text." Since "PDF" appears multiple times, we should keep it as is. Also preserve technical terms like "Poppler", "pdftoppm", "reportlab", "pdfplumber", "pypdf", "ASCII". The translation should be natural in Brazilian Portuguese. Let's break down the text: "PDF reading, creation, and validation with visual rendering and programmatic generation. Render PDF pages to PNG for visual inspection of layout, spacing, and typography before delivery using Poppler ( pdftoppm ) Generate PDFs programmatically with reportlab for reliable formatting; extract text and metadata with pdfplumber or pypdf Enforce quality standards: no clipped text, overlapping elements, broken tables, or rendering artifacts; ASCII hyphens only, human
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
Automação de navegador via terminal com snapshots de elementos e fluxos de UI interativos. Opera através do script wrapper playwright-cli (requer npx); suporta modos headless e headed para depuração visual. Fluxo principal: abrir página, capturar snapshot para referências estáveis de elementos, interagir usando referências, recapturar snapshot após navegação ou mudanças no DOM. Inclui preenchimento de formulários, cliques, digitação, gerenciamento de múltiplas abas, captura de screenshot/PDF e gravação de trace para depuração de fluxos. Referências de elementos (ex.: e3, e15)...
official
ukb-topmed-phewas-skill
openai
Busque resumos compactos de PheWAS UKB-TOPMed para variantes únicas, aceitando entrada rsID, GRCh37 ou GRCh38 e resolvendo para a consulta GRCh38 necessária. Use quando um…
official
code-review-context
openai
Contexto visível do modelo
official