Deploy Platform Stack Workflow
CONCEPT:INFRA-001
End-to-end deployment of an infrastructure platform using docker-compose files and Portainer MCP.
Steps
Step 0: resolve-portainer-endpoint [skill: portainer-mcp]
Agent: discovery-agent
Tools: tun_tm_system, tun_tm_hosts
Use portainer_environment to get the endpoint ID where the stack will be deployed.
Expected: endpoint, id
Step 1: create-portainer-stack [skill: portainer-mcp]
Agent: deployer-agent
Tools: pt_stack, cnt_cm_compose_operations
Use portainer_stack to create the standalone stack from the docker-compose file.
Expected: stack, create
Step 2: KG Persistence [depends_on: Step 0, Step 1]
Agent: deployer-agent
Tools: graph_write
Persist workflow results as nodes and edges in the Knowledge Graph. Create appropriate typed nodes with metadata and link to existing domain entities.
Output
- Deploy Platform Stack results persisted in KG
- Structured report (MD/PDF)
- Audit trail with timestamps and agent attributions
Execution
Run this workflow as a dependency-ordered DAG. Steps with no unmet depends_on run in parallel; dependents run after their prerequisites complete.
- Run first (in parallel): Step 0 — resolve-portainer-endpoint; Step 1 — create-portainer-stack
- After level 0: Step 2 — KG Persistence
Execution: If graph-os is reachable, offload the whole DAG via graph_orchestrate action=execute_workflow (or the kg-delegate skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet depends_on in parallel, then their dependents.