Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
pixel-process-ug avatar

Deployment

  • 67 installs
  • 1 repo stars
  • Updated March 16, 2026
  • pixel-process-ug/superkit-agents

Helps with devops & ci/cd tasks.

About

deployment is a Claude Code skill for devops & ci/cd. It helps solo builders move faster with AI-assisted development.

  • deployment
  • DevOps & CI/CD
  • AI-coding skill

Deployment by the numbers

  • 67 all-time installs (skills.sh)
  • +2 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #628 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill deployment

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs67
repo stars1
Last updatedMarch 16, 2026
Repositorypixel-process-ug/superkit-agents

What it does

Helps with devops & ci/cd tasks.

Files

SKILL.mdMarkdownGitHub ↗

Deployment

Overview

Set up CI/CD pipelines and deployment configurations that automate the path from code to production. This skill detects the deployment target, generates pipeline config, creates pre/post-deploy checklists, and configures monitoring — producing a fully automated, rollback-ready deployment pipeline.

Announce at start: "I am using the deployment skill to set up the deployment pipeline."

Phase 1: Detect Deployment Target

STOP after this phase — present findings to user for confirmation before proceeding.

Ask questions to identify the full deployment context:

Platform Detection:

  • Where does this deploy? (Vercel, AWS, GCP, Azure, DigitalOcean, self-hosted)
  • Container-based? (Docker, Kubernetes)
  • Serverless? (Lambda, Cloud Functions, Edge Functions)

CI/CD Detection:

  • What CI system? (GitHub Actions, GitLab CI, CircleCI, Jenkins)
  • What triggers deployments? (push to main, tags, manual)
  • Multi-environment? (dev, staging, production)

Infrastructure Detection:

  • Database migrations needed?
  • Environment variables management? (secrets manager, .env)
  • CDN/caching? Asset pipeline?
  • Monitoring/alerting? (Datadog, Sentry, New Relic)

Platform Selection Decision Table

Project TypeRecommended PlatformCI/CDWhy
Static site / SPAVercel, Netlify, Cloudflare PagesBuilt-inZero config, edge CDN
Node.js APIAWS ECS, Cloud Run, RailwayGitHub ActionsContainer support, auto-scaling
Monorepo (frontend + backend)Vercel + AWS / RailwayGitHub ActionsSplit concerns, independent scaling
Enterprise / compliance-heavyAWS EKS, GKEGitLab CI, JenkinsFull control, audit trails
Hobby / side projectRailway, Fly.io, RenderBuilt-in or GitHub ActionsSimple, low cost
ML / data pipelinesAWS SageMaker, GCP VertexGitHub Actions + AirflowGPU support, pipeline orchestration

Phase 2: Design Pipeline

STOP after this phase — present pipeline design to user for approval before generating config.

Standard Pipeline Stages

┌─────────┐   ┌──────────┐   ┌──────────┐   ┌──────────┐   ┌──────────┐
│  Build   │──▶│   Test   │──▶│  Lint/   │──▶│  Deploy  │──▶│  Verify  │
│          │   │          │   │  Check   │   │          │   │          │
└─────────┘   └──────────┘   └──────────┘   └──────────┘   └──────────┘

Build: Install dependencies, compile, bundle Test: Unit tests, integration tests, coverage check Lint/Check: Linting, type checking, security audit Deploy: Push to target environment Verify: Health checks, smoke tests, monitoring

Branch Strategy Decision Table

BranchActionEnvironmentGate
feature/*Build + Test + LintNonePR checks pass
mainBuild + Test + Lint + DeployStagingAll checks green
release/* or tagsBuild + Test + Lint + DeployProductionManual approval
hotfix/*Build + Test + DeployProduction (expedited)Senior approval

Deployment Strategy Decision Table

StrategyWhen to UseRisk LevelRollback Speed
Direct deploySolo/hobby projects, stagingHighSlow (redeploy)
Blue-greenApps with health checks, low-downtime needsLowInstant (switch)
CanaryHigh-traffic production, gradual rolloutVery LowFast (reroute)
RollingKubernetes clusters, stateless servicesLowMedium
Feature flagsDecoupled deploy from releaseVery LowInstant (toggle)

Phase 3: Generate Config

GitHub Actions Example

name: CI/CD Pipeline

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

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  build-and-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
          cache: 'npm'
      - run: npm ci
      - run: npm run lint
      - run: npm run type-check
      - run: npm test -- --coverage
      - run: npm run build

  deploy-staging:
    needs: build-and-test
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: staging
    steps:
      - uses: actions/checkout@v4
      # [platform-specific deploy steps]

  deploy-production:
    needs: build-and-test
    if: startsWith(github.ref, 'refs/tags/v')
    runs-on: ubuntu-latest
    environment: production
    steps:
      - uses: actions/checkout@v4
      # [platform-specific deploy steps]

GitLab CI Example

stages:
  - build
  - test
  - deploy

build:
  stage: build
  script:
    - npm ci
    - npm run build
  artifacts:
    paths: [dist/]

test:
  stage: test
  script:
    - npm run lint
    - npm run type-check
    - npm test -- --coverage

deploy-staging:
  stage: deploy
  environment: staging
  script:
    - # platform-specific deploy
  only:
    - main

deploy-production:
  stage: deploy
  environment: production
  script:
    - # platform-specific deploy
  when: manual
  only:
    - tags

Phase 4: Create Deployment Checklists

STOP — present checklists to user. Customize based on their stack.

Pre-Deploy Checklist

## Pre-Deploy Checklist

- [ ] All tests passing on CI
- [ ] Code reviewed and approved
- [ ] No critical/high security vulnerabilities
- [ ] Environment variables configured for target environment
- [ ] Database migrations tested (if applicable)
- [ ] Feature flags configured (if applicable)
- [ ] Rollback plan documented
- [ ] Monitoring/alerts configured
- [ ] Changelog updated
- [ ] Version bumped

Post-Deploy Verification

## Post-Deploy Verification

- [ ] Health check endpoint returns 200
- [ ] Smoke tests passing
- [ ] Error rate within normal range
- [ ] Response times within SLA
- [ ] Database migrations applied successfully
- [ ] Feature flags active/inactive as expected
- [ ] Monitoring dashboard showing expected metrics
- [ ] No new errors in error tracking (Sentry, etc.)

Phase 5: Review and Finalize

Present the complete pipeline configuration to the user: 1. VERIFY CI/CD config file syntax is valid 2. VERIFY all environment variables are documented 3. VERIFY rollback plan exists 4. VERIFY pre/post-deploy checklists are complete 5. VERIFY the pipeline can be tested locally (act, etc.)

Save config to .github/workflows/ or equivalent.

Anti-Patterns / Common Mistakes

Anti-PatternWhy It Is WrongWhat to Do Instead
Manual production deploysError-prone, no audit trailAutomate via CI/CD pipeline
No rollback planStuck if deploy breaks productionDefine rollback before every deploy
Skipping stagingBugs found in productionAlways deploy to staging first
Secrets in code/config filesSecurity breach riskUse secrets manager or env vars
latest tag for production imagesNon-reproducible deploysPin specific version tags
No concurrency controlConflicting deploysAdd concurrency groups to CI
Deploying without health checksNo visibility into deploy healthAdd health endpoint + post-deploy check
Alert fatigue from noisy monitorsReal issues get missedAlert on symptoms, tune thresholds

Key Principles

  • Automate everything — no manual steps in the critical path
  • Fast feedback — fail early, fail fast
  • Environment parity — staging matches production
  • Rollback-ready — every deploy has a rollback plan
  • Observable — monitoring before, during, and after deploy
  • Secure — no secrets in code, use secrets management
  • Idempotent — deploying the same version twice produces the same result

Integration Points

SkillIntegration
senior-devopsProvides Docker, K8s, and IaC patterns used in deploy config
git-commit-helperConventional commits drive changelog and version bumping
finishing-a-development-branchBranch completion triggers deployment pipeline
verification-before-completionPost-deploy verification gate
security-reviewSecurity scan stage in the pipeline
planningDeployment plan is part of the implementation plan

Skill Type

FLEXIBLE — Adapt pipeline design, platform selection, and tooling to the project's cloud provider, team size, and operational maturity. The principles (automation, rollback, observability) are constant; specific tools are interchangeable.

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.