Agent skill

Configuration Generator

by ArabelaTso in ArabelaTso/Skills-4-SE

Generate configuration files for applications, services, and infrastructure.

Apache-2.0Auto-check: notesDevOps & Cloud

Install Configuration Generator

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

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

GitHub CLI
$ gh skill install ArabelaTso/Skills-4-SE configuration-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/configuration-generator .claude/skills/configuration-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
configuration-generator
GitHub stars
253
Token cost
~2.8k tokens
SKILL.md length
532 words
Files
6 (incl. references, assets)
Skills in repo
150
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate configuration files for applications, services, and infrastructure.

  • Works in 5 steps: Use Environment Variables → Version Control Best Practices → Validate Configurations → …
  • Setting up new projects (package.json
  • SKILL.md covers Quick Start, Common Configuration Types, Configuration Decision Tree and Generation Approaches, plus 5 more sections
  • Calls docker-compose, kubectl and terraform; needs SECRET_KEY

What it does

Configuration Generator is an agent skill from ArabelaTso/Skills-4-SE. Generate configuration files for applications, services, and infrastructure. Use when: (1) Setting up new projects (package.json, requirements.txt, tsconfig.json), (2) Creating Docker or Kubernetes configurations, (3) Configuring CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI), (4) Setting up web servers (Nginx, Apache), (5) Defining infrastructure as code (Terraform, CloudFormation), (6) Generating linter/formatter configs (ESLint, Prettier, Black). Provides templates and custom-generated configs for…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `assets/docker-compose.yml`, `assets/github-actions-workflow.yml` and `assets/kubernetes-deployment.yaml`).

It sits in DevOps & Cloud, covering Linting and formatting, CI/CD and Infrastructure as code. It works with Docker, Kubernetes, TypeScript and GitHub Actions. 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 new projects (package.json
  • Requirements.txt
  • Creating Docker
  • Kubernetes configurations

Example prompts

  • “/configuration-generator”

Requirements

  • Python 3
  • Node.js
  • Docker
  • A credential in SECRET_KEY

Workflow steps

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

  1. Use Environment Variables
  2. Version Control Best Practices
  3. Validate Configurations
  4. Document Configuration
  5. Use Sensible Defaults

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

    Shell commands in SKILL.md call:

    • docker-compose
    • kubectl
    • terraform
    • python

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

  • Network

    No URLs in SKILL.md. Its commands use kubectl, which can reach the network depending on how they are called.

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

  • Credentials

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

    • SECRET_KEY

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

Context cost

Configuration Generator loads about 2.8k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 532 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:72
    - Environment files (.env, .editorconfig, .gitignore)
  • NoteMentions a .env fileSKILL.md:199
    │  └─ Environment? → .env, .editorconfig, .gitignore
  • NoteMentions a .env fileSKILL.md:316
    - `.env` (secrets)
  • NoteMentions a .env fileSKILL.md:317
    - `.env.local` (local overrides)
  • NoteMentions a .env fileSKILL.md:322
    .env
  • NoteMentions a .env fileSKILL.md:323
    .env.local
  • NoteMentions a .env fileSKILL.md:324
    .env.*.local
  • NoteMentions a .env fileSKILL.md:427
    - .env.production

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). 532 words, ~2,761 tokens.

Download SKILL.mdSave it as .claude/skills/configuration-generator/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
configuration-generator
description
Generate configuration files for applications, services, and infrastructure. Use when: (1) Setting up new projects (package.json, requirements.txt, tsconfig.json), (2) Creating Docker or Kubernetes configurations, (3) Configuring CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI), (4) Setting up web servers (Nginx, Apache), (5) Defining infrastructure as code (Terraform, CloudFormation), (6) Generating linter/formatter configs (ESLint, Prettier, Black). Provides templates and custom-generated configs for diverse tech stacks.

Configuration Generator

Generate configuration files for applications, services, and infrastructure across various formats and frameworks.

Quick Start

Use Built-in Templates

Access ready-to-use configuration templates from assets:

bash
# Docker Compose
cat assets/docker-compose.yml

# Kubernetes
cat assets/kubernetes-deployment.yaml

# GitHub Actions
cat assets/github-actions-workflow.yml
Generate Custom Configuration

Specify your requirements to get tailored configuration files.

Common Configuration Types

Application Configurations
Package Managers

Node.js (package.json)

json
{
  "name": "my-app",
  "version": "1.0.0",
  "scripts": {
    "start": "node index.js",
    "dev": "nodemon index.js",
    "test": "jest",
    "build": "tsc"
  },
  "dependencies": {
    "express": "^4.18.0"
  },
  "devDependencies": {
    "typescript": "^5.0.0",
    "jest": "^29.0.0"
  }
}

Python (requirements.txt)

django==4.2.0
djangorestframework==3.14.0
psycopg2-binary==2.9.5
pytest==7.3.0
black==23.3.0

See app_configs.md for:

  • Package managers (npm, pip, cargo)
  • Build tools (TypeScript, Webpack, Vite)
  • Linters/formatters (ESLint, Prettier, Black)
  • Testing frameworks (Jest, pytest)
  • Environment files (.env, .editorconfig, .gitignore)
Build Configurations

TypeScript (tsconfig.json)

json
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "commonjs",
    "outDir": "./dist",
    "rootDir": "./src",
    "strict": true,
    "esModuleInterop": true
  },
  "include": ["src/**/*"],
  "exclude": ["node_modules", "dist"]
}
Infrastructure Configurations
Docker

Dockerfile (Multi-stage)

dockerfile
FROM node:18-alpine as builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

FROM node:18-alpine
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
USER node
EXPOSE 3000
CMD ["node", "dist/index.js"]

Docker Compose - See assets/docker-compose.yml:

  • Multi-service setup (web, database, cache)
  • Environment variable configuration
  • Volume management
  • Network configuration
Kubernetes

Deployment Configuration - See assets/kubernetes-deployment.yaml:

  • Deployment with replicas
  • ConfigMap and Secret management
  • Service and Ingress configuration
  • Health probes
  • Resource limits

Example Deployment:

yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: web-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: web-app
  template:
    spec:
      containers:
      - name: web
        image: myapp:latest
        ports:
        - containerPort: 8000
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"

See infra_configs.md for:

  • Docker and Kubernetes
  • Terraform (AWS, GCP, Azure)
  • CI/CD pipelines
  • Web servers (Nginx, Apache)
CI/CD Pipelines

GitHub Actions - See assets/github-actions-workflow.yml:

  • Test, build, and deploy workflow
  • Service containers (PostgreSQL, Redis)
  • Docker image building
  • Deployment automation

Example Workflow:

yaml
name: CI/CD Pipeline

on:
  push:
    branches: [ main ]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: '3.11'
      - run: pip install -r requirements.txt
      - run: pytest

Configuration Decision Tree

What type of configuration do you need?

├─ Application Config
│  ├─ Package manager? → package.json, requirements.txt, Cargo.toml
│  ├─ Build tool? → tsconfig.json, webpack.config.js, vite.config.ts
│  ├─ Linter/formatter? → .eslintrc, .prettierrc, pyproject.toml
│  └─ Environment? → .env, .editorconfig, .gitignore
│
├─ Container/Orchestration
│  ├─ Docker? → Dockerfile, docker-compose.yml
│  └─ Kubernetes? → deployment.yaml, service.yaml, ingress.yaml
│
├─ Infrastructure as Code
│  ├─ Terraform? → main.tf, variables.tf, outputs.tf
│  └─ CloudFormation? → template.yaml
│
├─ CI/CD
│  ├─ GitHub Actions? → .github/workflows/ci.yml
│  ├─ GitLab CI? → .gitlab-ci.yml
│  └─ CircleCI? → .circleci/config.yml
│
└─ Web Server
   ├─ Nginx? → nginx.conf
   └─ Apache? → httpd.conf, .htaccess

Generation Approaches

Approach 1: Template-Based

Use pre-built templates from assets/:

When to use:

  • Standard setups
  • Quick prototyping
  • Learning/reference

How:

  1. Identify needed template
  2. Copy from assets
  3. Customize variables
  4. Deploy

Example:

bash
# Copy Docker Compose template
cp assets/docker-compose.yml ./

# Edit environment variables
# Deploy
docker-compose up -d
Approach 2: Requirements-Based Generation

Generate from scratch based on specific needs:

When to use:

  • Custom requirements
  • Complex setups
  • Specific tech stack

How:

  1. Specify requirements
  2. Choose tech stack
  3. Define constraints
  4. Generate configuration

Example Request: "Generate a GitHub Actions workflow for a Python Django app with PostgreSQL, Redis, and deployment to AWS ECS"

Generated Output: Custom workflow with:

  • Python 3.11 setup
  • PostgreSQL and Redis services
  • Django test suite
  • Docker image build
  • AWS ECS deployment
Approach 3: Hybrid

Combine templates with customization:

When to use:

  • Partially standard setup
  • Template needs modification
  • Best practices + customization

How:

  1. Start with template
  2. Identify customization points
  3. Modify specific sections
  4. Validate configuration

Best Practices

1. Use Environment Variables

Separate configuration from code:

Application:

python
# settings.py
import os

DATABASE_URL = os.getenv('DATABASE_URL')
SECRET_KEY = os.getenv('SECRET_KEY')
DEBUG = os.getenv('DEBUG', 'False') == 'True'

.env file:

bash
DATABASE_URL=postgresql://localhost/mydb
SECRET_KEY=your-secret-key
DEBUG=true
Show full SKILL.md (213 more words)Show less
2. Version Control Best Practices

Do commit:

  • .env.example (template)
  • Configuration templates
  • Development configs

Don't commit:

  • .env (secrets)
  • .env.local (local overrides)
  • Production credentials

.gitignore:

.env
.env.local
.env.*.local
3. Validate Configurations

Check syntax before deploying:

bash
# Docker Compose
docker-compose config

# Kubernetes
kubectl apply --dry-run=client -f deployment.yaml

# Terraform
terraform validate

# YAML syntax
yamllint config.yml
4. Document Configuration

Add comments explaining purpose:

yaml
# docker-compose.yml
services:
  web:
    # Application server - handles HTTP requests
    image: myapp:latest
    ports:
      # Expose on port 8000 for development
      - "8000:8000"
    environment:
      # Database connection string
      - DATABASE_URL=${DATABASE_URL}
5. Use Sensible Defaults

Provide defaults for optional values:

yaml
# Kubernetes ConfigMap
apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
data:
  # Default to info level logging
  LOG_LEVEL: "info"
  # Default connection pool size
  DB_POOL_SIZE: "10"

Common Patterns

Multi-Environment Configuration

Development:

yaml
# docker-compose.dev.yml
services:
  web:
    build: .
    volumes:
      - ./app:/app  # Hot reload
    environment:
      - DEBUG=true

Production:

yaml
# docker-compose.prod.yml
services:
  web:
    image: registry/myapp:latest
    environment:
      - DEBUG=false
    deploy:
      replicas: 3
Secret Management

Kubernetes Secrets:

yaml
apiVersion: v1
kind: Secret
metadata:
  name: app-secrets
type: Opaque
stringData:
  database-url: "postgresql://..."
  api-key: "secret-key"

Docker Compose (with env file):

yaml
services:
  web:
    env_file:
      - .env.production
Health Checks

Docker Compose:

yaml
services:
  web:
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

Kubernetes:

yaml
livenessProbe:
  httpGet:
    path: /health
    port: 8000
  initialDelaySeconds: 30
  periodSeconds: 10
readinessProbe:
  httpGet:
    path: /ready
    port: 8000
  initialDelaySeconds: 5
  periodSeconds: 5

Complete Example

Request: "Create complete configuration for a Python FastAPI application with PostgreSQL and Redis, using Docker Compose for development and Kubernetes for production"

Generated Configurations:

  1. Dockerfile
  2. docker-compose.yml (development)
  3. requirements.txt
  4. kubernetes/deployment.yaml (production)
  5. .env.example
  6. .github/workflows/deploy.yml

These files work together to provide:

  • Local development environment
  • CI/CD pipeline
  • Production deployment
  • Secret management
  • Health monitoring

Troubleshooting

Configuration Validation Errors

YAML syntax errors:

bash
# Check YAML syntax
python -c "import yaml; yaml.safe_load(open('config.yml'))"

# Or use yamllint
yamllint config.yml

Docker Compose issues:

bash
# Validate and view resolved config
docker-compose config

# Check for errors
docker-compose config --quiet
Environment Variable Issues

Missing variables:

bash
# List all required variables
grep -o '\${[^}]*}' docker-compose.yml

# Check if variable is set
echo $DATABASE_URL
Port Conflicts

Find process using port:

bash
# Linux/macOS
lsof -i :8000

# Windows
netstat -ano | findstr :8000

Reference Materials

Application Configs

See app_configs.md for complete templates:

  • Package managers (package.json, requirements.txt, Pipfile, Cargo.toml)
  • Build tools (tsconfig.json, webpack.config.js, vite.config.ts)
  • Linters and formatters (.eslintrc, .prettierrc, .flake8, pyproject.toml)
  • Testing frameworks (jest.config.js, pytest.ini)
  • Environment files (.env.example, .editorconfig, .gitignore)
Infrastructure Configs

See infra_configs.md for:

  • Docker (Dockerfile multi-stage, docker-compose.yml, .dockerignore)
  • Kubernetes (Deployment, Service, Ingress, ConfigMap, Secret, HPA)
  • Terraform (AWS, GCP, Azure infrastructure)
  • CI/CD (GitHub Actions, GitLab CI, CircleCI)
  • Web servers (Nginx, Apache configuration)

© 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 5 other files (references, assets) in skills/configuration-generator of ArabelaTso/Skills-4-SE.

  • SKILL.md
  • assets/docker-compose.yml
  • assets/github-actions-workflow.yml
  • assets/kubernetes-deployment.yaml
  • references/app_configs.md
  • references/infra_configs.md

Open the folder on GitHubat commit 4f38503

Compare with similar skills

Configuration 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.

Configuration Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Configuration Generator this skillArabelaTso/Skills-4-SE253—~2.8kAutomated safety check: NotesApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
Data Processingaiskillstore/marketplace4301 repos~720Automated safety check: NotesMIT
Devops Excellencemajiayu000/spellbook286—~2.4kAutomated safety check: NotesMIT
Devops Deploymentyonatangross/orchestkit289—~2.7kAutomated safety check: PassMIT
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT

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Categories

Questions about Configuration Generator

What does Configuration Generator do?

Generate configuration files for applications, services, and infrastructure. Configuration Generator is an agent skill from ArabelaTso/Skills-4-SE. Generate configuration files for applications, services, and infrastructure.

When should I use Configuration Generator?

Configuration Generator fits situations like: setting up new projects (package.json; requirements.txt; creating Docker; Kubernetes configurations.

How do I install Configuration Generator in Claude Code?

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

How do I install Configuration Generator in Codex?

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

Can I use Configuration 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 configuration-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/configuration-generator, .gemini/skills/configuration-generator, .github/skills/configuration-generator and .opencode/skills/configuration-generator in your project.

What does Configuration Generator need to run?

Going by SKILL.md and its folder, Configuration Generator needs the command-line tools its instructions call (docker-compose, kubectl, terraform and python) and credentials named SECRET_KEY. Our summary lists: Python 3; Node.js; Docker; A credential in SECRET_KEY.

Does Configuration 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 Configuration Generator safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Configuration Generator use?

Configuration 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 Configuration Generator use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.5k tokens, read only when the agent opens those files.

What are the alternatives to Configuration Generator?

Skills that share tags, products or a category with Configuration Generator: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Data Processing (aiskillstore/marketplace, 430 stars), Devops Excellence (majiayu000/spellbook, 286 stars) and Devops Deployment (yonatangross/orchestkit, 289 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configuration Generator?

ArabelaTso (a GitHub user) maintains it in ArabelaTso/Skills-4-SE, which has 253 GitHub stars. The repository holds 150 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.