Skill

Automate quality gates and deployment pipelines

A CI/CD skill for unskippable quality gates, GitHub Actions pipelines, deployment strategies, and feeding CI failures back to agents.

Works with githubplaywrightcypressjestvitest

79
Spark score
out of 100
Updated 21 days ago
Version 0.6.3

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Why it matters

Enforce quality standards and automate deployments so that no code reaches production without passing lint, type checks, tests, security audits, and build verification on every single change.

Outcomes

What it gets done

01

Configure GitHub Actions pipelines with lint, type-check, test, build, and security audit gates

02

Set up preview deployments for pull requests and staged rollouts to production

03

Implement database integration tests and E2E testing in CI workflows

04

Create rollback workflows and feature flag patterns for safe deployments

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-ci-cd-and-automation | bash

Overview

CI/CD and Automation

This skill covers CI/CD pipeline design: unskippable quality gates (lint, types, tests, build, security), GitHub Actions configuration, deployment strategies like feature flags and staged rollouts, and feeding CI failures back to AI agents for automated fixes. Use it when setting up or modifying a project's CI pipeline, deployment configuration, or automated checks, or debugging CI failures.

What it does

This skill covers CI/CD pipeline design and automation, treating it as the enforcement mechanism that catches what humans and AI agents miss on every single change. Its two guiding principles are shift left - catching problems as early in the pipeline as possible, with static analysis before tests, tests before staging, and staging before production - and faster is safer, meaning smaller batches and more frequent releases reduce risk rather than increase it. The quality gate pipeline runs lint, type check, unit tests, build, integration tests, optional end-to-end tests, a security audit, and a bundle-size check in sequence before a PR is ready for review, and no gate can be skipped: a failing lint gets fixed, not disabled, and a failing test gets the code fixed, not the test skipped. It provides concrete GitHub Actions configuration for a basic CI pipeline covering checkout, dependency install, lint, typecheck, test with coverage, build, and a security audit, database-backed integration tests using a Postgres service container with health checks and GitHub Secrets even for CI-only credentials, and end-to-end tests with Playwright and artifact upload on failure. It documents the CI-agent feedback loop: when CI fails, copy the failure output and feed it back to the agent with an instruction to fix and verify locally before pushing again, with specific patterns per failure type - lint failures auto-fixed and committed, type errors fixed at their reported location, test failures routed to a debugging skill, and build errors checked against configuration and dependencies.

Deployment strategy guidance covers PR preview deployments, feature flags to decouple deployment from release - shipping code without enabling it, rolling back by disabling a flag instead of reverting code, canary rollout percentages, and A/B testing - with an explicit flag lifecycle from creation through a cleanup date, staged rollouts from staging to production with a monitoring window and automatic rollback on errors, and a reversible rollback workflow triggered manually. Environment management distinguishes committed template files from uncommitted local environment files and CI or production secrets stored in dedicated secrets managers - CI should never hold production secrets. Automation beyond CI covers Dependabot or Renovate for scheduled dependency update PRs, a designated Build Cop role responsible for fixing or reverting a broken build rather than the person who broke it, and PR check requirements like required reviews, required status checks, branch protection against force-pushes, and auto-merge when checks pass. CI optimization is ordered by impact: cache dependencies, parallelize jobs, only run what changed via path filters, shard test suites across matrix builds, trim slow tests off the critical path, and use larger runners, targeting a pipeline under 10 minutes. It closes with a table of common rationalizations for skipping CI, all of which it rebuts, and a red-flags checklist covering missing pipelines, silenced failures, disabled tests, missing staging verification, no rollback mechanism, and secrets stored in code.

When to use - and when NOT to

Use it when setting up a new project's CI pipeline, adding or modifying automated checks, configuring deployment pipelines, verifying that a change should trigger automated verification, or debugging CI failures.

Inputs and outputs

Given a project's stack and deployment target, it produces GitHub Actions workflow configuration for quality gates, integration and end-to-end test jobs, preview and staged deployment configs, a rollback workflow, and a verification checklist confirming all gates are present and enforced.

Integrations

GitHub Actions, ESLint and Prettier, tsc, Jest or Vitest, Playwright or Cypress, npm audit, Postgres service containers, Vercel or Netlify for preview deploys, Dependabot or Renovate for dependency updates, and GitHub Secrets with branch protection for security and merge gating.

Who it's for

Teams setting up or hardening CI/CD for a project, especially ones using AI agents in the loop where CI failures feed directly back into an automated fix-and-repush cycle, who want a consistent, unskippable quality gate before any change reaches production.

Source README

CI/CD and Automation

Overview

Automate quality gates so that no change reaches production without passing tests, lint, type checking, and build. CI/CD is the enforcement mechanism for every other skill - it catches what humans and agents miss, and it does so consistently on every single change.

Shift Left: Catch problems as early in the pipeline as possible. A bug caught in linting costs minutes; the same bug caught in production costs hours. Move checks upstream - static analysis before tests, tests before staging, staging before production.

Faster is Safer: Smaller batches and more frequent releases reduce risk, not increase it. A deployment with 3 changes is easier to debug than one with 30. Frequent releases build confidence in the release process itself.

When to Use

  • Setting up a new project's CI pipeline
  • Adding or modifying automated checks
  • Configuring deployment pipelines
  • When a change should trigger automated verification
  • Debugging CI failures

The Quality Gate Pipeline

Every change goes through these gates before merge:

Pull Request Opened
    │
    ▼
┌─────────────────┐
│   LINT CHECK     │  eslint, prettier
│   ↓ pass         │
│   TYPE CHECK     │  tsc --noEmit
│   ↓ pass         │
│   UNIT TESTS     │  jest/vitest
│   ↓ pass         │
│   BUILD          │  npm run build
│   ↓ pass         │
│   INTEGRATION    │  API/DB tests
│   ↓ pass         │
│   E2E (optional) │  Playwright/Cypress
│   ↓ pass         │
│   SECURITY AUDIT │  npm audit
│   ↓ pass         │
│   BUNDLE SIZE    │  bundlesize check
└─────────────────┘
    │
    ▼
  Ready for review

No gate can be skipped. If lint fails, fix lint - don't disable the rule. If a test fails, fix the code - don't skip the test.

GitHub Actions Configuration

Basic CI Pipeline

### .github/workflows/ci.yml
name: CI

on:
  pull_request:
    branches: [main]
  push:
    branches: [main]

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

      - uses: actions/setup-node@v4
        with:
          node-version: '22'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Lint
        run: npm run lint

      - name: Type check
        run: npx tsc --noEmit

      - name: Test
        run: npm test -- --coverage

      - name: Build
        run: npm run build

      - name: Security audit
        run: npm audit --audit-level=high

With Database Integration Tests

  integration:
    runs-on: ubuntu-latest
    services:
      postgres:
        image: postgres:16
        env:
          POSTGRES_DB: testdb
          POSTGRES_USER: ci_user
          POSTGRES_PASSWORD: ${{ secrets.CI_DB_PASSWORD }}
        ports:
          - 5432:5432
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5

    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '22'
          cache: 'npm'
      - run: npm ci
      - name: Run migrations
        run: npx prisma migrate deploy
        env:
          DATABASE_URL: postgresql://ci_user:${{ secrets.CI_DB_PASSWORD }}@localhost:5432/testdb
      - name: Integration tests
        run: npm run test:integration
        env:
          DATABASE_URL: postgresql://ci_user:${{ secrets.CI_DB_PASSWORD }}@localhost:5432/testdb

Note: Even for CI-only test databases, use GitHub Secrets for credentials rather than hardcoding values. This builds good habits and prevents accidental reuse of test credentials in other contexts.

E2E Tests

  e2e:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '22'
          cache: 'npm'
      - run: npm ci
      - name: Install Playwright
        run: npx playwright install --with-deps chromium
      - name: Build
        run: npm run build
      - name: Run E2E tests
        run: npx playwright test
      - uses: actions/upload-artifact@v4
        if: failure()
        with:
          name: playwright-report
          path: playwright-report/

Feeding CI Failures Back to Agents

The power of CI with AI agents is the feedback loop. When CI fails:

CI fails
    │
    ▼
Copy the failure output
    │
    ▼
Feed it to the agent:
"The CI pipeline failed with this error:
[paste specific error]
Fix the issue and verify locally before pushing again."
    │
    ▼
Agent fixes → pushes → CI runs again

Key patterns:

Lint failure → Agent runs `npm run lint --fix` and commits
Type error  → Agent reads the error location and fixes the type
Test failure → Agent follows debugging-and-error-recovery skill
Build error → Agent checks config and dependencies

Deployment Strategies

Preview Deployments

Every PR gets a preview deployment for manual testing:

### Deploy preview on PR (Vercel/Netlify/etc.)
deploy-preview:
  runs-on: ubuntu-latest
  if: github.event_name == 'pull_request'
  steps:
    - uses: actions/checkout@v4
    - name: Deploy preview
      run: npx vercel --token=${{ secrets.VERCEL_TOKEN }}

Feature Flags

Feature flags decouple deployment from release. Deploy incomplete or risky features behind flags so you can:

  • Ship code without enabling it. Merge to main early, enable when ready.
  • Roll back without redeploying. Disable the flag instead of reverting code.
  • Canary new features. Enable for 1% of users, then 10%, then 100%.
  • Run A/B tests. Compare behavior with and without the feature.
// Simple feature flag pattern
if (featureFlags.isEnabled('new-checkout-flow', { userId })) {
  return renderNewCheckout();
}
return renderLegacyCheckout();

Flag lifecycle: Create → Enable for testing → Canary → Full rollout → Remove the flag and dead code. Flags that live forever become technical debt - set a cleanup date when you create them.

Staged Rollouts

PR merged to main
    │
    ▼
  Staging deployment (auto)
    │ Manual verification
    ▼
  Production deployment (manual trigger or auto after staging)
    │
    ▼
  Monitor for errors (15-minute window)
    │
    ├── Errors detected → Rollback
    └── Clean → Done

Rollback Plan

Every deployment should be reversible:

### Manual rollback workflow
name: Rollback
on:
  workflow_dispatch:
    inputs:
      version:
        description: 'Version to rollback to'
        required: true

jobs:
  rollback:
    runs-on: ubuntu-latest
    steps:
      - name: Rollback deployment
        run: |
          # Deploy the specified previous version
          npx vercel rollback ${{ inputs.version }}

Environment Management

.env.example       → Committed (template for developers)
.env                → NOT committed (local development)
.env.test           → Committed (test environment, no real secrets)
CI secrets          → Stored in GitHub Secrets / vault
Production secrets  → Stored in deployment platform / vault

CI should never have production secrets. Use separate secrets for CI testing.

Automation Beyond CI

Dependabot / Renovate

### .github/dependabot.yml
version: 2
updates:
  - package-ecosystem: npm
    directory: /
    schedule:
      interval: weekly
    open-pull-requests-limit: 5

Build Cop Role

Designate someone responsible for keeping CI green. When the build breaks, the Build Cop's job is to fix or revert - not the person whose change caused the break. This prevents broken builds from accumulating while everyone assumes someone else will fix it.

PR Checks

  • Required reviews: At least 1 approval before merge
  • Required status checks: CI must pass before merge
  • Branch protection: No force-pushes to main
  • Auto-merge: If all checks pass and approved, merge automatically

CI Optimization

When the pipeline exceeds 10 minutes, apply these strategies in order of impact:

Slow CI pipeline?
├── Cache dependencies
│   └── Use actions/cache or setup-node cache option for node_modules
├── Run jobs in parallel
│   └── Split lint, typecheck, test, build into separate parallel jobs
├── Only run what changed
│   └── Use path filters to skip unrelated jobs (e.g., skip e2e for docs-only PRs)
├── Use matrix builds
│   └── Shard test suites across multiple runners
├── Optimize the test suite
│   └── Remove slow tests from the critical path, run them on a schedule instead
└── Use larger runners
    └── GitHub-hosted larger runners or self-hosted for CPU-heavy builds

Example: caching and parallelism

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '22', cache: 'npm' }
      - run: npm ci
      - run: npm run lint

  typecheck:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '22', cache: 'npm' }
      - run: npm ci
      - run: npx tsc --noEmit

  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '22', cache: 'npm' }
      - run: npm ci
      - run: npm test -- --coverage

Common Rationalizations

Rationalization Reality
"CI is too slow" Optimize the pipeline (see CI Optimization below), don't skip it. A 5-minute pipeline prevents hours of debugging.
"This change is trivial, skip CI" Trivial changes break builds. CI is fast for trivial changes anyway.
"The test is flaky, just re-run" Flaky tests mask real bugs and waste everyone's time. Fix the flakiness.
"We'll add CI later" Projects without CI accumulate broken states. Set it up on day one.
"Manual testing is enough" Manual testing doesn't scale and isn't repeatable. Automate what you can.

Red Flags

  • No CI pipeline in the project
  • CI failures ignored or silenced
  • Tests disabled in CI to make the pipeline pass
  • Production deploys without staging verification
  • No rollback mechanism
  • Secrets stored in code or CI config files (not secrets manager)
  • Long CI times with no optimization effort

Verification

After setting up or modifying CI:

  • All quality gates are present (lint, types, tests, build, audit)
  • Pipeline runs on every PR and push to main
  • Failures block merge (branch protection configured)
  • CI results feed back into the development loop
  • Secrets are stored in the secrets manager, not in code
  • Deployment has a rollback mechanism
  • Pipeline runs in under 10 minutes for the test suite

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

FAQ

Common questions

Discussion

Questions & comments · 0

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