/deploy-gen
Generate deployment configurations (Docker, Kubernetes) for the current project
$ npx -y skills add jmagly/aiwg --skill deploy-gen --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/deploy-gen
Context preview
The summary Claude sees to decide when to auto-load this skill.
Generate deployment configurations (Docker, Kubernetes) for the current project
SKILL.md
deploy-gen.SKILL.mdnamespace: aiwg
name: deploy-gen
platforms: [all]
description: Generate deployment configurations (Docker, Kubernetes) for the current project
<!-- AIWG-SKILL-CALLOUT --> > **Skill access pattern (post-kernel-pivot, 2026.5+)** > > Skill names referenced in this document are AIWG skills, **not slash commands**. Most are not kernel-listed and cannot be invoked as `/skill-name` by the platform. Reach them via: > > ```bash > aiwg discover "<capability>" > aiwg show skill <name> > ``` > > Only kernel-listed skills (`aiwg-doctor`, `aiwg-refresh`, `aiwg-status`, `aiwg-help`, `use`, `steward`) are directly invokable as slash commands. See [skill-discovery rule](../../../addons/aiwg-utils/rules/skill-discovery.md).
Deploy Generator
Generate production-ready deployment configurations based on project analysis.
Research Foundation
**REF-001**: BP-8 - Containerized Deployment
> "Production-grade agentic workflows require containerized deployment with proper isolation, resource management, and orchestration."
Usage
/deploy-gen docker [options]
/deploy-gen k8s [options]
/deploy-gen compose [options]
Arguments
| Argument | Required | Description | |----------|----------|-------------| | type | Yes | Deployment type: docker, k8s, compose |
Options
| Option | Default | Description | |--------|---------|-------------| | --output | ./deploy/ | Output directory for generated files | | --app-name | (from package.json) | Application name | | --port | 3000 | Application port | | --multi-stage | true | Use multi-stage Dockerfile | | --health-check | true | Include health check endpoints |
Process
1. Project Analysis
Detect project characteristics:
Analyzing project...
- Runtime: [node/python/go/java]
- Package manager: [npm/yarn/pip/go mod]
- Entry point: [detected or ask]
- Dependencies: [count]
- Build required: [yes/no]
2. Template Selection
Choose appropriate templates based on analysis:
| Runtime | Template | |---------|----------| | Node.js | `templates/deploy/docker/node.Dockerfile` | | Python | `templates/deploy/docker/python.Dockerfile` | | Go | `templates/deploy/docker/go.Dockerfile` |
3. Configuration Generation
Generate deployment files with project-specific values.
Output: Docker
deploy/
├── Dockerfile # Multi-stage build
├── .dockerignore # Exclude dev files
└── docker-build.sh # Build helper script
Dockerfile Features
- Multi-stage build (build → production)
- Non-root user
- Health check
- Proper signal handling
- Layer caching optimization
Output: Kubernetes
deploy/k8s/
├── deployment.yaml # Pod specification
├── service.yaml # Service exposure
├── configmap.yaml # Environment configuration
├── hpa.yaml # Horizontal Pod Autoscaler
└── kustomization.yaml # Kustomize base
Kubernetes Features
- Resource limits and requests
- Liveness and readiness probes
- ConfigMap for environment
- HPA for auto-scaling
- Kustomize for environment overlays
Output: Docker Compose
deploy/
├── docker-compose.yml # Service definition
├── docker-compose.dev.yml # Development overrides
└── .env.example # Environment template
Examples
# Generate Dockerfile for Node.js project
/deploy-gen docker
# Generate full Kubernetes manifests
/deploy-gen k8s --app-name my-api --port 8080
# Generate Docker Compose for local development
/deploy-gen compose --output ./
# Generate all deployment types
/deploy-gen docker && /deploy-gen k8s && /deploy-gen compose
Template Variables
Templates use these variables:
| Variable | Source | |----------|--------| | `{{APP_NAME}}` | --app-name or package.json | | `{{PORT}}` | --port option | | `{{NODE_VERSION}}` | .nvmrc or latest LTS | | `{{PYTHON_VERSION}}` | .python-version or 3.11 | | `{{ENTRY_POINT}}` | Detected from project |
CLI Equivalent
aiwg deploy-gen <type> [options]
Related Commands
- `project-health-check` - Analyze project before deployment
- `security-audit` - Security review before production
- `flow-deploy-to-production` - Full deployment workflow
Success Metrics
From Unified Plan:
| Metric | Target | |--------|--------| | Zero to containerized | <2 minutes | | Generated configs | Production-ready | | Security baseline | Non-root, minimal image |
Generate deployment for: $ARGUMENTS
References
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/README.md — aiwg-utils addon overview
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework context for deployment workflows
- @$AIWG_ROOT/docs/cli-reference.md — CLI reference including deploy-related commands
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/research-before-decision.md — Analyze project before generating configs
Read more
namespace: aiwg name: deploy-gen platforms: [all] description: Generate deployment configurations (Docker, Kubernetes) for the current project
<!-- AIWG-SKILL-CALLOUT --> > **Skill access pattern (post-kernel-pivot, 2026.5+)** > > Skill names referenced in this document are AIWG skills, **not slash commands**. Most are not kernel-listed and cannot be invoked as `/skill-name` by the platform. Reach them via: > > ```bash > aiwg discover "<capability>" > aiwg show skill <name> > ``` > > Only kernel-listed skills (`aiwg-doctor`, `aiwg-refresh`, `aiwg-status`, `aiwg-help`, `use`, `steward`) are directly invokable as slash commands. See [skill-discovery rule](../../../addons/aiwg-utils/rules/skill-discovery.md).
Deploy Generator
Generate production-ready deployment configurations based on project analysis.
Research Foundation
**REF-001**: BP-8 - Containerized Deployment
> "Production-grade agentic workflows require containerized deployment with proper isolation, resource management, and orchestration."
Usage
/deploy-gen docker [options] /deploy-gen k8s [options] /deploy-gen compose [options]
Arguments
| Argument | Required | Description | |----------|----------|-------------| | type | Yes | Deployment type: docker, k8s, compose |
Options
| Option | Default | Description | |--------|---------|-------------| | --output | ./deploy/ | Output directory for generated files | | --app-name | (from package.json) | Application name | | --port | 3000 | Application port | | --multi-stage | true | Use multi-stage Dockerfile | | --health-check | true | Include health check endpoints |
Process
1. Project Analysis
Detect project characteristics:
Analyzing project... - Runtime: [node/python/go/java] - Package manager: [npm/yarn/pip/go mod] - Entry point: [detected or ask] - Dependencies: [count] - Build required: [yes/no]
2. Template Selection
Choose appropriate templates based on analysis:
| Runtime | Template | |---------|----------| | Node.js | `templates/deploy/docker/node.Dockerfile` | | Python | `templates/deploy/docker/python.Dockerfile` | | Go | `templates/deploy/docker/go.Dockerfile` |
3. Configuration Generation
Generate deployment files with project-specific values.
Output: Docker
deploy/ ├── Dockerfile # Multi-stage build ├── .dockerignore # Exclude dev files └── docker-build.sh # Build helper script
Dockerfile Features
- Multi-stage build (build → production)
- Non-root user
- Health check
- Proper signal handling
- Layer caching optimization
Output: Kubernetes
deploy/k8s/ ├── deployment.yaml # Pod specification ├── service.yaml # Service exposure ├── configmap.yaml # Environment configuration ├── hpa.yaml # Horizontal Pod Autoscaler └── kustomization.yaml # Kustomize base
Kubernetes Features
- Resource limits and requests
- Liveness and readiness probes
- ConfigMap for environment
- HPA for auto-scaling
- Kustomize for environment overlays
Output: Docker Compose
deploy/ ├── docker-compose.yml # Service definition ├── docker-compose.dev.yml # Development overrides └── .env.example # Environment template
Examples
# Generate Dockerfile for Node.js project /deploy-gen docker # Generate full Kubernetes manifests /deploy-gen k8s --app-name my-api --port 8080 # Generate Docker Compose for local development /deploy-gen compose --output ./ # Generate all deployment types /deploy-gen docker && /deploy-gen k8s && /deploy-gen compose
Template Variables
Templates use these variables:
| Variable | Source | |----------|--------| | `{{APP_NAME}}` | --app-name or package.json | | `{{PORT}}` | --port option | | `{{NODE_VERSION}}` | .nvmrc or latest LTS | | `{{PYTHON_VERSION}}` | .python-version or 3.11 | | `{{ENTRY_POINT}}` | Detected from project |
CLI Equivalent
aiwg deploy-gen <type> [options]
Related Commands
- `project-health-check` - Analyze project before deployment
- `security-audit` - Security review before production
- `flow-deploy-to-production` - Full deployment workflow
Success Metrics
From Unified Plan:
| Metric | Target | |--------|--------| | Zero to containerized | <2 minutes | | Generated configs | Production-ready | | Security baseline | Non-root, minimal image |
Generate deployment for: $ARGUMENTS
References
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/README.md — aiwg-utils addon overview
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework context for deployment workflows
- @$AIWG_ROOT/docs/cli-reference.md — CLI reference including deploy-related commands
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/research-before-decision.md — Analyze project before generating configs
Multi-agent AI framework for Claude Code, Copilot, Cursor, Warp, and 6 more platforms 200+ agents, 109+ CLI commands, 400+ deployable agent/skill/command/rule artifacts, 8 core frameworks, 32 addons, and a 40-plugin Claude Code marketplace.
Repo: jmagly/aiwg
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Open skill - /cross-task-learner
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Open skill - /debug-memory
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Open skill - /execute-feedback
Execute tests on generated code and iterate until passing
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