A documentation-first workflow skill for managing Kubernetes clusters, API objects, and complex troubleshooting with high accuracy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kubernetes-encyclopedia
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install kubernetes-encyclopedia using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Kubernetes Encyclopedia?
The Kubernetes Encyclopedia is a specialized extension designed for Openclaw Skills that prioritizes official documentation and local environment knowledge over improvised commands. It provides a structured framework for AI agents to interact with the Kubernetes API, kubectl CLI, and cluster resources by enforcing a docs-first preflight check. This ensures that every action, from deploying manifests to configuring RBAC, is grounded in the latest technical standards.
By bridging the gap between official kubernetes.io documentation and live cluster observations, this skill builds a persistent operational memory. It allows developers to maintain a local cache of relevant documentation and site-specific notes, making it an essential tool for high-stakes DevOps environments where precision and safety are paramount.
Kubernetes Encyclopedia Use Cases
- Planning and validating high-impact kubectl commands for production environments.
- Troubleshooting complex networking, scheduling, and storage issues using official references.
- Maintaining an environment-specific inventory of ingress rules, storage classes, and RBAC policies.
- Building a local, searchable knowledge base of Kubernetes patterns and common operational gotchas.
- Onboarding new team members to specific cluster conventions using recorded operational memory.
How Kubernetes Encyclopedia Works
- The skill evaluates incoming requests to identify Kubernetes-specific tasks such as workload management or API resource reviews.
- It performs a lookup in the local .Kubernetes-Encyclopedia/ cache to see if relevant documentation or notes already exist.
- If local info is insufficient, it retrieves and normalizes official documentation from the Kubernetes website.
- The agent caches the fetched documentation locally to optimize future queries and reduce external dependencies.
- It cross-references official docs with observed environment state to provide safe, context-aware operational steps.
- Durable notes are automatically generated after tasks to capture unique cluster behaviors and deployment patterns.
Kubernetes Encyclopedia Setup
To get started with this skill, initialize your local workspace directory structure:
python3 scripts/init_workspace.py
You can also manually cache specific official documentation paths to build your local library:
python3 scripts/cache_doc.py --url https://kubernetes.io/docs/concepts/workloads/controllers/deployment/
Kubernetes Encyclopedia Data Schema & Taxonomy
The skill organizes its persistent memory within the .Kubernetes-Encyclopedia/ directory using the following structure:
| Directory | Purpose |
|---|---|
docs/ |
Local cache of official kubernetes.io markdown files. |
notes/components/ |
Specific observations regarding local cluster components. |
notes/patterns/ |
Reusable architectural patterns and troubleshooting logs. |
inventory/ |
High-level data regarding environment access and topology. |
references/ |
Internal workflow guidelines and topic maps for the agent. |
Kubernetes Encyclopedia Advanced Features
- Documentation caching mechanism that mirrors the official Kubernetes documentation structure.
- Automatic classification system to distinguish between core Kubernetes logic and generic container issues.
- Operational memory recording that separates official documentation from site-specific learnings.
- Built-in sensitive data safeguards to prevent the accidental storage of kubeconfigs or secrets.
- High-sensitivity operation detection for networking, security policy, and node-level changes.
SKILL.md
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