Agent skill

CD Pipeline Generator

by ArabelaTso in ArabelaTso/Skills-4-SE

Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).

Apache-2.0Auto-check passedDevOps & Cloud

Install CD Pipeline Generator

skills CLI
$ npx skills add ArabelaTso/Skills-4-SE --skill cd-pipeline-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ArabelaTso/Skills-4-SE cd-pipeline-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cd-pipeline-generator .claude/skills/cd-pipeline-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cd-pipeline-generator
GitHub stars
253
Token cost
~1.3k tokens
SKILL.md length
398 words
Files
4 (incl. assets)
Skills in repo
170
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).

  • Works in 7 steps: Identify Deployment Target → Select Template → Configure Environments → …
  • Setting up continuous deployment pipelines
  • SKILL.md covers Overview, Workflow, Template Features and Security Best Practices, plus 2 more sections
  • Needs AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY

What it does

CD Pipeline Generator is an agent skill from ArabelaTso/Skills-4-SE. Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure). Use when setting up continuous deployment pipelines, creating deployment automation, or configuring multi-environment deployment strategies. Includes templates for environment-specific deployments with approval gates, secrets management, and rollback capabilities.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `assets/deploy-aws.yml`, `assets/deploy-azure.yml` and `assets/deploy-gcp.yml`).

It sits in DevOps & Cloud, covering Deployment, CI/CD and Secrets management. It works with GitHub Actions, Amazon Web Services, Google Cloud and Microsoft Azure. The repository describes itself as: A curated list of 180+ useful Claude Skills for Software Engineering and resources for customizing AI for SE workflows. The licence is Apache-2.0.

When your agent uses it

  • Setting up continuous deployment pipelines
  • Creating deployment automation
  • Configuring multi-environment deployment strategies

Example prompts

  • “/cd-pipeline-generator”

Requirements

  • Python 3
  • Docker
  • A credential in AWS_SECRET_ACCESS_KEY
  • A credential in GCP_SERVICE_ACCOUNT_KEY

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Identify Deployment Target
  2. Select Template
  3. Configure Environments
  4. Configure Secrets
  5. Customize Deployment Steps
  6. Set Deployment Triggers
  7. Place Workflow File

What it can do on your machine

Read from SKILL.md and the folder at commit 4f38503. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AWS_ACCESS_KEY_ID
    • AWS_SECRET_ACCESS_KEY
    • GCP_SERVICE_ACCOUNT_KEY
    • AZURE_CREDENTIALS

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

CD Pipeline Generator loads about 1.3k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 398 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ArabelaTso/Skills-4-SE at commit 4f38503, republished under its Apache-2.0 licence (© ArabelaTso). 398 words, ~1,313 tokens.

Download SKILL.mdSave it as .claude/skills/cd-pipeline-generator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
cd-pipeline-generator
description
Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure). Use when setting up continuous deployment pipelines, creating deployment automation, or configuring multi-environment deployment strategies. Includes templates for environment-specific deployments with approval gates, secrets management, and rollback capabilities.

CD Pipeline Generator

Overview

Generate production-ready GitHub Actions deployment workflows that automate deployments to staging and production environments with environment protection rules, approval gates, and secrets management.

Workflow

1. Identify Deployment Target

Determine the cloud platform and deployment method:

  • AWS: ECS, Elastic Beanstalk, EC2, Lambda
  • GCP: Cloud Run, App Engine, Compute Engine, Cloud Functions
  • Azure: App Service, Container Instances, Functions
2. Select Template

Use the appropriate template from assets/ based on cloud platform:

  • deploy-aws.yml - AWS deployments (ECS, Elastic Beanstalk, Lambda)
  • deploy-gcp.yml - GCP deployments (Cloud Run, App Engine)
  • deploy-azure.yml - Azure deployments (App Service, Container Instances)
3. Configure Environments

Set up GitHub environment protection rules for staging and production:

Staging environment:

  • Auto-deploy on merge to main/master
  • No approval required
  • Use staging secrets and variables

Production environment:

  • Manual approval required
  • Deploy on workflow_dispatch or tag push
  • Use production secrets and variables
  • Optional: Restrict to specific branches
4. Configure Secrets

Add required secrets to GitHub repository settings (Settings → Secrets and variables → Actions):

AWS:

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_REGION

GCP:

  • GCP_PROJECT_ID
  • GCP_SERVICE_ACCOUNT_KEY

Azure:

  • AZURE_CREDENTIALS
  • AZURE_SUBSCRIPTION_ID
5. Customize Deployment Steps

Adapt the template to project-specific deployment needs:

Build artifacts: Add build steps before deployment

yaml
- name: Build application
  run: npm run build  # or: python -m build, go build, cargo build

Docker images: Build and push container images

yaml
- name: Build Docker image
  run: docker build -t $IMAGE_NAME:$TAG .

- name: Push to registry
  run: docker push $IMAGE_NAME:$TAG

Database migrations: Run migrations before deployment

yaml
- name: Run migrations
  run: npm run migrate  # or: alembic upgrade head, rails db:migrate

Health checks: Verify deployment success

yaml
- name: Health check
  run: curl -f https://$DEPLOYMENT_URL/health || exit 1
6. Set Deployment Triggers

Configure when deployments run:

Staging: Auto-deploy on push to main

yaml
on:
  push:
    branches: [main]

Production: Manual trigger or tag-based

yaml
on:
  workflow_dispatch:
  push:
    tags:
      - 'v*'
7. Place Workflow File

Create deployment workflow at .github/workflows/deploy.yml. If multiple deployment workflows are needed (e.g., separate staging and production), use descriptive names:

  • .github/workflows/deploy-staging.yml
  • .github/workflows/deploy-production.yml
Show full SKILL.md (150 more words)Show less

Template Features

All templates include:

  • Environment separation: Distinct staging and production deployments
  • Approval gates: Production deployments require manual approval
  • Secrets management: Secure credential handling via GitHub secrets
  • Deployment status: Clear success/failure reporting
  • Rollback support: Easy revert to previous versions
  • Conditional execution: Deploy only when tests pass

Security Best Practices

  • Never commit credentials or API keys to the repository
  • Use GitHub environments to scope secrets appropriately
  • Enable required reviewers for production deployments
  • Use OIDC authentication instead of long-lived credentials when possible
  • Implement deployment windows for production (e.g., business hours only)
  • Add deployment notifications to Slack/email

Customization Examples

Add deployment notification:

yaml
- name: Notify deployment
  if: always()
  uses: 8398a7/action-slack@v3
  with:
    status: ${{ job.status }}
    text: 'Deployment to ${{ github.event.inputs.environment }} ${{ job.status }}'
  env:
    SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK }}

Add rollback capability:

yaml
- name: Rollback on failure
  if: failure()
  run: |
    echo "Deployment failed, rolling back..."
    # Platform-specific rollback commands

Restrict production deployment time:

yaml
- name: Check deployment window
  run: |
    HOUR=$(date +%H)
    if [ $HOUR -lt 9 ] || [ $HOUR -gt 17 ]; then
      echo "Deployments only allowed 9 AM - 5 PM"
      exit 1
    fi

Tips

  • Start with staging deployments to validate the workflow
  • Use environment-specific configuration files (e.g., config.staging.json, config.production.json)
  • Implement blue-green or canary deployments for zero-downtime updates
  • Add deployment metrics and monitoring
  • Document rollback procedures in the repository
  • Test deployment workflows in a separate test environment first

© ArabelaTso, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (assets) in skills/cd-pipeline-generator of ArabelaTso/Skills-4-SE.

  • SKILL.md
  • assets/deploy-aws.yml
  • assets/deploy-azure.yml
  • assets/deploy-gcp.yml

Open the folder on GitHubat commit 4f38503

Compare with similar skills

CD Pipeline Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

CD Pipeline Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
CD Pipeline Generator this skillArabelaTso/Skills-4-SE253—~1.3kAutomated safety check: PassApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
Azure Bicep Skilltimothywarner-org/claude-code224—~2.9kAutomated safety check: PassMIT
Deploying Cloud Deception With Decoy Resourcesmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
Kcli Cluster Deploymentkarmab/kcli653—~1.5kAutomated safety check: PassApache-2.0
Sdaf Orientation And SurfaceAzure/sap-automation145—~1.6kAutomated safety check: PassMIT

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Categories

Questions about CD Pipeline Generator

What does CD Pipeline Generator do?

Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure). CD Pipeline Generator is an agent skill from ArabelaTso/Skills-4-SE. Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).

When should I use CD Pipeline Generator?

CD Pipeline Generator fits situations like: setting up continuous deployment pipelines; creating deployment automation; configuring multi-environment deployment strategies.

How do I install CD Pipeline Generator in Claude Code?

Run `npx skills add ArabelaTso/Skills-4-SE --skill cd-pipeline-generator -a claude-code`. Or copy the skill folder (skills/cd-pipeline-generator in ArabelaTso/Skills-4-SE) into .claude/skills/cd-pipeline-generator in your project. Claude Code loads it when a task matches its description.

How do I install CD Pipeline Generator in Codex?

Run `npx skills add ArabelaTso/Skills-4-SE --skill cd-pipeline-generator -a codex`. Or copy the skill folder (skills/cd-pipeline-generator in ArabelaTso/Skills-4-SE) into .agents/skills/cd-pipeline-generator in your project. Codex loads it when a task matches its description.

Can I use CD Pipeline Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArabelaTso/Skills-4-SE --skill cd-pipeline-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cd-pipeline-generator, .gemini/skills/cd-pipeline-generator, .github/skills/cd-pipeline-generator and .opencode/skills/cd-pipeline-generator in your project.

What does CD Pipeline Generator need to run?

Going by SKILL.md and its folder, CD Pipeline Generator needs credentials named AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, GCP_SERVICE_ACCOUNT_KEY and AZURE_CREDENTIALS. Our summary lists: Python 3; Docker; A credential in AWS_SECRET_ACCESS_KEY; A credential in GCP_SERVICE_ACCOUNT_KEY.

Does CD Pipeline Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is CD Pipeline Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does CD Pipeline Generator use?

CD Pipeline Generator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does CD Pipeline Generator use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to CD Pipeline Generator?

Skills that share tags, products or a category with CD Pipeline Generator: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Azure Bicep Skill (timothywarner-org/claude-code, 224 stars), Deploying Cloud Deception With Decoy Resources (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Kcli Cluster Deployment (karmab/kcli, 653 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains CD Pipeline Generator?

ArabelaTso (a GitHub user) maintains it in ArabelaTso/Skills-4-SE, which has 253 GitHub stars. The repository holds 170 skills in this directory. The repository was last updated on August 21, 2026.

Source: ArabelaTso/Skills-4-SE on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.