feat: Implement Phase 1 K8s agent orchestrator system

Core agent system for Raspberry Pi k0s cluster management:

Agents:
- k8s-orchestrator: Central task delegation and decision making
- k8s-diagnostician: Cluster health, logs, troubleshooting
- argocd-operator: GitOps deployments and rollbacks
- prometheus-analyst: Metrics queries and alert analysis
- git-operator: Manifest management and PR workflows

Workflows:
- cluster-health-check.yaml: Scheduled health assessment
- deploy-app.md: Application deployment guide
- pod-crashloop.yaml: Automated incident response

Skills:
- /cluster-status: Quick health overview
- /deploy: Deploy or update applications
- /diagnose: Investigate cluster issues

Configuration:
- Agent definitions with model assignments (Opus/Sonnet)
- Autonomy rules (safe/confirm/forbidden actions)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
OpenCode Test
2025-12-26 11:25:11 -08:00
parent 216a95cec4
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# Deploy Application
Deploy a new application or update an existing one on the Raspberry Pi Kubernetes cluster.
## Usage
```
/deploy <app-name>
/deploy <app-name> --image <image:tag>
/deploy <app-name> --update
```
## What it does
Guides you through deploying an application using the GitOps workflow with ArgoCD.
## Interactive Mode
When run without full arguments, the skill will ask for:
1. **Application name** - Name for the deployment
2. **Container image** - Full image path with tag
3. **Namespace** - Target namespace (default: default)
4. **Ports** - Exposed ports (comma-separated)
5. **Resources** - Memory/CPU limits (defaults provided for Pi)
6. **Pi 3 compatible?** - Whether to add tolerations for Pi 3 node
## Quick Deploy
```
/deploy myapp --image ghcr.io/user/myapp:latest --namespace apps --port 8080
```
## Steps
1. **Check existing state** - See if app exists, current status
2. **Generate manifests** - Create deployment, service, kustomization
3. **Create PR** - Push to GitOps repo, create PR
4. **Sync** - After PR merge, trigger ArgoCD sync
5. **Verify** - Confirm pods are running
## Resource Defaults (Pi-optimized)
```yaml
# Standard workload
requests:
memory: "64Mi"
cpu: "50m"
limits:
memory: "128Mi"
cpu: "200m"
# Lightweight (Pi 3 compatible)
requests:
memory: "32Mi"
cpu: "25m"
limits:
memory: "64Mi"
cpu: "100m"
```
## Examples
### Deploy new app
```
/deploy homepage --image nginx:alpine --port 80 --namespace web
```
### Update existing app
```
/deploy api --update --image api:v2.0.0
```
### Deploy to Pi 3
```
/deploy lightweight-app --image app:latest --pi3
```
## Confirmation Points
- **[CONFIRM]** Creating PR in GitOps repo
- **[CONFIRM]** Syncing ArgoCD application
- **[CONFIRM]** Rollback if deployment fails