name: kubernetes description: > Kubernetes & OpenShift Platform Agent Swarm — A coordinated multi-agent system for cluster operations. Includes Orchestrator (Jarvis), Cluster Ops (Atlas), GitOps (Flow), Security (Shield), Observability (Pulse), Artifacts (Cache), and Developer Experience (Desk). Pure instruction-based skill — no executable scripts. metadata: author: kcns008 version: 2.1.0 agent_name: Swarm agent_role: Platform Agent Swarm (All Agents) session_key: "agent:platform:swarm" heartbeat: "/5 * * * " platforms: - openshift - kubernetes - eks - aks - gke - rosa - aro install_type: "instruction-only" always: false model_invocation: false requires: env: - KUBECONFIG binaries: - kubectl optional_binaries: - oc - helm - jq optional_env: - AWS_ACCESS_KEY_ID - AWS_SECRET_ACCESS_KEY - AZURE_CLIENT_ID - AZURE_CLIENT_SECRET - AZURE_TENANT_ID - GOOGLE_APPLICATION_CREDENTIALS credentials: - kubeconfig: "KUBECONFIG path or ~/.kube/config for cluster access" - cloud: "Optional cloud provider credentials for managed clusters (AWS/Azure/GCP)" - registry: "Optional container registry credentials for image operations"

Kubernetes Agent Swarm — Platform Operations

A multi-agent system for Kubernetes and OpenShift platform operations. Seven specialized agents work together as a coordinated swarm.

来源于7w4.net。

Runtime Requirements

Optional cloud CLIs (aws, az, gcloud, rosa) — only needed for managed cluster operations.

Installation

clawhub install kubernetes

Or install individual agents:

clawhub install orchestrator
clawhub install cluster-ops
clawhub install gitops
clawhub install security
clawhub install observability
clawhub install artifacts
clawhub install developer-experience

The Swarm — Agent Roster

How It Works

This is an instruction-only skill. Agents receive markdown instructions describing what commands to run and how to interpret output. No executable scripts are included — the agent translates instructions into actions using the host's installed CLI tools.

Session Setup

Before using the swarm, establish cluster context:

# Verify access
kubectl cluster-info
kubectl get nodes

# For OpenShift
oc status

Agent Communication

Agents communicate via @mentions in shared task comments:

@Shield Please review the RBAC for payment-service v3.2 before I sync.
@Pulse Is the CPU spike related to the deployment or external traffic?
@Atlas The staging cluster needs 2 more worker nodes.

Escalation Path

1. Agent detects issue
2. Agent attempts resolution within guardrails
3. If blocked → @mention another agent or escalate to human
4. P1 incidents → all relevant agents auto-notified

Heartbeat Schedule

*/5  * * * *  Atlas, Pulse, Shield     (fast response: incidents, alerts, CVEs)
*/10 * * * *  Flow, Cache              (scheduled: deploys, promotions)
*/15 * * * *  Desk, Orchestrator       (batch: onboarding, standups)

Agent Capabilities

What Agents CAN Do

• Read cluster state (kubectl get, kubectl describe, oc get)
• Deploy via GitOps (argocd app sync, Flux reconciliation)
• Create documentation and reports
• Investigate and triage incidents
• Provision standard resources (namespaces, quotas, RBAC)
• Run health checks and audits
• Query metrics and logs

What Agents CANNOT Do (Human-in-the-Loop Required)

• Delete production resources
• Modify cluster-wide policies
• Make direct changes to secrets without rotation workflow
• Perform irreversible cluster upgrades
• Approve production deployments (can prepare, human approves)

Key Principles

• Roles over genericism — Each agent has a defined domain
• Files over mental notes — Only files persist between sessions
• Human-in-the-loop — Critical actions require approval
• Guardrails over freedom — Define what agents can and cannot do
• Audit everything — Every action logged

File Structure

kubernetes/
├── SKILL.md                    # This file — combined swarm
├── AGENTS.md                   # Swarm configuration and protocols
├── skills/
│   ├── orchestrator/SKILL.md   # Jarvis — task routing
│   ├── cluster-ops/SKILL.md    # Atlas — cluster operations
│   ├── gitops/SKILL.md         # Flow — GitOps
│   ├── security/SKILL.md       # Shield — security
│   ├── observability/SKILL.md  # Pulse — monitoring
│   ├── artifacts/SKILL.md      # Cache — artifacts
│   └── developer-experience/SKILL.md  # Desk — DevEx
├── memory/MEMORY.md            # Long-term agent memory
├── working/WORKING.md          # Session progress
└── logs/LOGS.md                # Action audit trail

Detailed Agent Documentation

See individual SKILL.md files for each agent's full capabilities, personality, and workflow instructions.

这是一个功能完整的 Kubernetes 运维智能体群系统，质量良好。亮点在于多智能体分工明确、流程规范、安全控制到位，文档详尽。适合平台工程师和 SRE 使用。主要不足是部分内容是空模板而非实际指南，实用内容还需补充完善。