ci-cd-and-automation
addyosmani/agent-skills
Automate CI/CD pipelines with quality gates, test runners, and deployment strategies.
What is ci-cd-and-automation?
Sets up automated build and deployment pipelines that enforce code quality before merge. Use when establishing or modifying CI/CD workflows, configuring test runners, adding quality gates, or implementing deployment strategies.
- Configure multi-stage quality gate pipelines (lint, type check, test, build, security audit)
- Set up GitHub Actions workflows for automated testing and deployment
- Integrate database services and run integration tests in CI
- Deploy preview environments for pull requests and staged rollouts to production
- Implement feature flags for safe deployments and canary releases
- Manage environment variables and secrets securely across environments
How to install ci-cd-and-automation
npx skills add https://github.com/addyosmani/agent-skills --skill ci-cd-and-automation- GitHub repository with Actions enabled
- Node.js project with npm scripts (lint, test, build)
- GitHub Secrets configured for sensitive credentials (database passwords, deployment tokens)
How to use ci-cd-and-automation
- 1.Create .github/workflows/ci.yml with the basic quality gate pipeline
- 2.Define npm scripts in package.json for lint, type check, test, and build
- 3.Add GitHub Secrets for any credentials needed in CI (database passwords, API tokens)
- 4.Push the workflow file and create a test PR to verify all gates pass
- 5.Add integration test jobs if using databases; configure service containers in the workflow
- 6.Set up deployment workflows for preview and production environments using feature flags
Use cases
- Setting up CI for a new project with automated lint, type, and test checks
- Adding integration tests with database services to a GitHub Actions workflow
- Configuring preview deployments so every PR gets a testable environment
- Implementing staged rollouts with manual verification gates before production
- Debugging CI failures by feeding error output back to agents for fixes
- Full-stack developers setting up new projects
- DevOps engineers configuring deployment pipelines
- Teams adopting CI/CD for the first time
- Developers working with AI agents that need automated feedback loops
ci-cd-and-automation FAQ
No. The skill enforces that no gate can be skipped. If lint fails, fix the code or rule — don't disable the check. If a test fails, fix the code — don't skip the test. This is the enforcement mechanism that keeps quality consistent.
Copy the specific error output from the CI logs and provide it to the agent with context: 'The CI pipeline failed with this error: [paste error]. Fix the issue and verify locally before pushing again.' The agent can then run local checks (npm run lint --fix, tsc, etc.) and push fixes.
Feature flags decouple deployment from release — you deploy code but don't enable it yet, allowing safe rollback without redeploying. Staged rollouts move code through environments (staging → production) with manual verification gates. Use both: deploy behind flags, then roll out through stages.
No. GitHub Secrets should only contain CI/test credentials. Production secrets belong in your deployment platform's vault or a dedicated secrets manager. This prevents test credentials from being reused in production contexts.
Designate one person responsible for keeping CI green. When the build breaks, the Build Cop fixes or reverts the breaking change — not the person who made it. This prevents broken builds from accumulating while everyone assumes someone else will fix it.
Full instructions (SKILL.md)
Source of truth, from addyosmani/agent-skills.
name: ci-cd-and-automation description: Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
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
Related skills
More from addyosmani/agent-skills and the wider catalog.

code-review-and-quality
Multi-dimensional code review covering correctness, readability, architecture, security, and performance.

code-simplification
Refactor code for clarity and maintainability without changing behavior.

constraint-driven-development
Establish a written quality bar with numbers and stop agents from quietly lowering it.

context-engineering
Optimize agent context setup to maximize output quality and coherence.

debugging-and-error-recovery
Systematic root-cause debugging: stop, preserve evidence, triage, fix, and guard against recurrence.

deprecation-and-migration
Safely remove old systems, APIs, and features while migrating users to replacements.