plugins/utils/skills/deploy-gen/SKILL.md
Generate deployment configurations (Docker, Kubernetes) for the current project
npx skillsauth add jmagly/aiwg deploy-genInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate production-ready deployment configurations based on project analysis.
REF-001: BP-8 - Containerized Deployment
"Production-grade agentic workflows require containerized deployment with proper isolation, resource management, and orchestration."
/deploy-gen docker [options]
/deploy-gen k8s [options]
/deploy-gen compose [options]
| Argument | Required | Description | |----------|----------|-------------| | type | Yes | Deployment type: docker, k8s, compose |
| 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 |
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]
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 |
Generate deployment files with project-specific values.
deploy/
├── Dockerfile # Multi-stage build
├── .dockerignore # Exclude dev files
└── docker-build.sh # Build helper script
deploy/k8s/
├── deployment.yaml # Pod specification
├── service.yaml # Service exposure
├── configmap.yaml # Environment configuration
├── hpa.yaml # Horizontal Pod Autoscaler
└── kustomization.yaml # Kustomize base
deploy/
├── docker-compose.yml # Service definition
├── docker-compose.dev.yml # Development overrides
└── .env.example # Environment template
# 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
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 |
aiwg deploy-gen <type> [options]
/project-health-check - Analyze project before deployment/security-audit - Security review before production/flow-deploy-to-production - Full deployment workflowFrom Unified Plan:
| Metric | Target | |--------|--------| | Zero to containerized | <2 minutes | | Generated configs | Production-ready | | Security baseline | Non-root, minimal image |
Generate deployment for: $ARGUMENTS
data-ai
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data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
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