
ln-731-docker-generator
Generates Dockerfile and docker-compose configuration for multi-container development. Use when containerizing a project.
- Installs
- 379
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-731-docker-generator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ln-731-docker-generator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Paths: File paths (
references/,../ln-*) are relative to this skill directory.
ln-731-docker-generator
Type: L3 Worker Category: 7XX Project Bootstrap
Generates production-ready Docker configuration for containerized development.
Purpose & Scope
Creates Docker infrastructure for local development and production:
- Does: Generate Dockerfiles, docker-compose, .dockerignore, nginx config
- Does NOT: Build images, start containers, manage deployments
Inputs
| Input | Source | Description |
|---|---|---|
| Stack Type | ln-730 coordinator | frontend, backend-dotnet, backend-python |
| Versions | Auto-detected | Node.js, .NET, Python versions |
| Project Name | Directory name | Used for container naming |
| Ports | Defaults or detected | Frontend: 3000, Backend: 5000/8000, DB: 5432 |
Outputs
| File | Purpose | Template |
|---|---|---|
Dockerfile.frontend | Frontend build & serve | dockerfile_frontend.template |
Dockerfile.backend | Backend build & run | dockerfile_backend_dotnet.template or dockerfile_backend_python.template |
docker-compose.yml | Service orchestration | docker_compose.template |
.dockerignore | Build context exclusions | dockerignore.template |
nginx.conf | Frontend proxy config | nginx.template |
Workflow
Phase 1: Input Validation
Validate received configuration from coordinator:
- Check stack type is supported (frontend, backend-dotnet, backend-python)
- Verify versions are valid (Node 18+, .NET 8+, Python 3.10+)
- Confirm project directory exists
Output: Validated configuration or error
Phase 2: Template Selection
Select appropriate templates based on stack:
| Stack | Templates Used |
|---|---|
| Frontend only | dockerfile_frontend, nginx, dockerignore |
| Backend .NET | dockerfile_backend_dotnet, docker_compose, dockerignore |
| Backend Python | dockerfile_backend_python, docker_compose, dockerignore |
| Full stack .NET | All of the above (dotnet variant) |
| Full stack Python | All of the above (python variant) |
Phase 3: Variable Substitution
Replace template variables with detected values:
| Variable | Source | Example |
|---|---|---|
{{NODE_VERSION}} | package.json engines or default | 22 |
{{DOTNET_VERSION}} | *.csproj TargetFramework | 9.0 |
{{PYTHON_VERSION}} | pyproject.toml or default | 3.12 |
{{PROJECT_NAME}} | Directory name | my-app |
{{DLL_NAME}} | *.csproj AssemblyName | MyApp.Api.dll |
{{FRONTEND_PORT}} | Default or detected | 3000 |
{{BACKEND_PORT}} | Stack-dependent | 5000 (.NET), 8000 (Python) |
{{BACKEND_HOST}} | Service name | backend |
{{CMD}} | Framework-dependent | ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] (FastAPI) or ["gunicorn", "--bind", "0.0.0.0:8000", "{{PROJECT_NAME}}.wsgi:application"] (Django) |
Phase 4: File Generation
Generate files from templates:
- Check if file already exists (warn before overwrite)
- Apply variable substitution
- Write file to appropriate location
- Validate syntax where possible
File Locations:
Dockerfile.frontend->src/frontend/DockerfileDockerfile.backend-> project rootdocker-compose.yml-> project root.dockerignore-> project rootnginx.conf->src/frontend/nginx.conf
Supported Stacks
Frontend: React/Vite + Nginx
Requirements:
- package.json with build script
- Vite or CRA configuration
Generated:
- Multi-stage Dockerfile (builder + nginx)
- Nginx config with SPA routing and API proxy
Backend: .NET 8/9
Requirements:
- *.sln file in root
- *.csproj with TargetFramework
Generated:
- Multi-stage Dockerfile (SDK build + ASP.NET runtime)
- Health check endpoint configuration
Backend: Python (FastAPI/Django)
Requirements:
- requirements.txt or pyproject.toml
Generated:
- Multi-stage Dockerfile (builder + slim runtime)
- uvicorn (FastAPI) or gunicorn (Django) entrypoint
Security & Performance Best Practices
All generated files follow these guidelines:
| Practice | Implementation |
|---|---|
| Non-root user | Create and use appuser (UID 1001) |
| Minimal images | Alpine/slim variants |
| Multi-stage builds | Exclude build tools from runtime |
| No secrets | Use environment variables, not hardcoded |
| Health checks | Built-in HEALTHCHECK instructions (wget/curl) |
| Specific versions | Pin base image versions (e.g., nginx:1.27-alpine) |
| Non-interactive mode | ARG DEBIAN_FRONTEND=noninteractive |
| Layer caching | Copy dependency files first, source code last |
| BuildKit cache | Use --mount=type=cache for pip |
| Python optimization | PYTHONDONTWRITEBYTECODE=1, PYTHONUNBUFFERED=1 |
Quality Criteria
Generated files must meet:
-
docker-compose configvalidates without errors - All base images use specific versions (not
latest) - Non-root user configured in all Dockerfiles
- Health checks present for all services
- .dockerignore excludes all sensitive files
- No hardcoded secrets or passwords
Critical Notes
- Version Detection: Use detected versions from coordinator, not hardcoded defaults.
- Idempotent: Check file existence before writing. Warn if overwriting.
- Template-based: All generation uses templates from references/. Do NOT hardcode file contents.
- Security First: Every generated file must follow security best practices.
Reference Files
| File | Purpose |
|---|---|
| dockerfile_frontend.template | React/Vite multi-stage Dockerfile |
| dockerfile_backend_dotnet.template | .NET multi-stage Dockerfile |
| dockerfile_backend_python.template | Python multi-stage Dockerfile |
| docker_compose.template | docker-compose.yml template |
| dockerignore.template | .dockerignore template |
| nginx.template | Nginx configuration |
Definition of Done
- Dockerfiles generated for all detected stack components (frontend/backend)
- docker-compose.yml validates without errors (
docker-compose config) - .dockerignore excludes sensitive files and build artifacts
- All base images use pinned versions (not
latest)
Version: 1.2.0 Last Updated: 2026-01-21
FAQ
What does the ln-731-docker-generator skill do?
Generates Dockerfile and docker-compose configuration for multi-container development. Use when containerizing a project.
How do I install ln-731-docker-generator?
Run npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-731-docker-generator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ln-731-docker-generator/ (personal) or .claude/skills/ln-731-docker-generator/ (project).
Which AI agents can use ln-731-docker-generator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ln-731-docker-generator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ln-731-docker-generator?
It is published by levnikolaevich in levnikolaevich/claude-code-skills. It has 379 recorded installs.
More from levnikolaevich/claude-code-skills
ln-100-documents-pipeline
levnikolaevich/claude-code-skills
Creates complete project documentation system (project docs, reference, tasks, tests). Use when bootstrapping docs from scratch or regenerating all.
ln-620-codebase-auditor
levnikolaevich/claude-code-skills
Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.
ln-775-api-docs-generator
levnikolaevich/claude-code-skills
Configures Swagger/OpenAPI documentation for backend APIs. Use when adding interactive API docs to a project.
ln-624-code-quality-auditor
levnikolaevich/claude-code-skills
Checks cyclomatic complexity, nesting, long methods, god classes, O(n2), N+1 queries, constants management. Use when auditing code quality.
ln-782-test-runner
levnikolaevich/claude-code-skills
Executes all test suites and reports results with coverage. Use when verifying that test infrastructure works after bootstrap.
ln-634-test-coverage-auditor
levnikolaevich/claude-code-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.