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Whizard Telemetry

OrganizationPopular
kubesphere
whizard-telemetry

Use when installing or configuring the WizTelemetry Platform Service extension for KubeSphere, which provides the common APIServer backend services for all WizTelemetry observability extensions

Overview

Publisherkubesphere
Repositorykubesphere
Skill namewhizard-telemetry
Stars
17.1K
Forks
2.8K
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kubesphere on GitHub. Read the source before you install it.

Installation

Install the Whizard Telemetry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kubesphere/kubesphere.git /tmp/kubesphere
mkdir -p .claude/skills
cp -r /tmp/kubesphere/skills/whizard-telemetry .claude/skills/whizard-telemetry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Whizard Telemetry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Whizard Telemetry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Whizard Telemetry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WizTelemetry Platform Service

Overview

WizTelemetry Platform Service is a common service for all observability extensions of KubeSphere's WizTelemetry Observability Platform. It provides a common APIServer for all observability extensions, offering backend platform services for Logging, Auditing, Events, Notifications, Tracing, and more.

When to Use

  • Installing or configuring the WizTelemetry Platform Service extension
  • Managing API services for observability extensions
  • Configuring OpenSearch connections for various data types
  • Enabling Global Observability monitoring

Architecture

Components

ComponentDescriptionDefault
whizard-telemetry-apiserverCommon APIServer for all observability extensions1 replica
wiz-telemetry-consoleWeb console for WizTelemetry1 replica

Dependencies

The WizTelemetry Platform Service does not have hard dependencies on other components. All APIs can be enabled/disabled based on the deployed extensions:

  • Optional: OpenSearch - Required only when enabling logging, auditing, events, notification history, or traffic APIs
  • Optional: Prometheus - Required only when enabling monitoring API
  • Optional: Notification Manager - Required only when enabling notification API
  • Optional: KubeSphere Observability (Whizard) - Required only when enabling global observability

Configuration should be added incrementally as you deploy additional observability extensions (e.g., WhizardLogging, WhizardAuditing, WhizardEvents, WhizardNotification).

Installation

Prerequisites

Step 1: Get latest version

bash
kubectl get extensionversions -l kubesphere.io/extension-ref=whizard-telemetry -o jsonpath='{range .items[*]}{.spec.version}{"\n"}{end}' | sort -V | tail -1

Step 2: Generate config

Run the helper script in the skill's scripts directory:

bash
cd whizard-telemetry && ./scripts/generate-config.sh

This script will:

  1. Check which observability extensions are installed (whizard-logging, whizard-auditing, whizard-events, whizard-notification, whizard-monitoring, whizard-alerting)
  2. Check if vector extension is installed
  3. Output the config section only (between ---CONFIG_START--- and ---CONFIG_END---)

Step 3: Create InstallPlan

Use the generated config to create the InstallPlan:

yaml
apiVersion: kubesphere.io/v1alpha1
kind: InstallPlan
metadata:
  name: whizard-telemetry
spec:
  extension:
    name: whizard-telemetry
    version: <VERSION>  # From Step 1
  enabled: true
  upgradeStrategy: Manual
  config: |
    <CONFIG_FROM_STEP_2>

⚠️ CRITICAL: InstallPlan metadata.name MUST be whizard-telemetry. DO NOT use any other name.

Configuration from Other Extensions

The whizard-telemetry configuration is automatically generated based on which observability extensions are installed. You do NOT need to manually configure it - it will be generated when you install the corresponding extensions.

How it works:

  • When you install whizard-logging, whizard-auditing, whizard-events, etc., the system automatically generates the corresponding whizard-telemetry config
  • OpenSearch endpoint and credentials are obtained from the vector extension's secret

Configuration Parameters

The whizard-telemetry.config section is automatically generated by the helper script based on installed extensions. You do not need to manually configure it.

Image Parameters

ParameterTypeDefaultDescription
whizard-telemetry.apiserver.image.repositorystringkubesphere/whizard-telemetry-apiserverAPI server image
whizard-telemetry.apiserver.image.tagstringlatestAPI server image tag
wiz-telemetry-console.image.repositorystringkubesphere/wiz-telemetry-consoleConsole image
wiz-telemetry-console.image.tagstring2.1.0Console image tag

Scheduling Parameters

ParameterTypeDefaultDescription
whizard-telemetry.apiserver.nodeSelectorobject{}Node selector
whizard-telemetry.apiserver.tolerationslist[]Tolerations
whizard-telemetry.apiserver.affinityobject{}Affinity
wiz-telemetry-console.nodeSelectorobject{}Node selector
wiz-telemetry-console.tolerationslist[]Tolerations
wiz-telemetry-console.affinityobject{}Affinity

Extension Operations

Check Extension Status

bash
# View extension installation status
kubectl get installplan whizard-telemetry

# View extension version
kubectl get extensionversions -l kubesphere.io/extension-ref=whizard-telemetry

Check Pod Status

bash
# View API server pods
kubectl get pods -n extension-whizard-telemetry -l app=whizard-telemetry-apiserver

# View console pods
kubectl get pods -n extension-whizard-telemetry -l app=wiz-telemetry-console

View Logs

bash
# View API server logs
kubectl logs -n extension-whizard-telemetry -l app=whizard-telemetry-apiserver --tail=100

# View console logs
kubectl logs -n extension-whizard-telemetry -l app=wiz-telemetry-console --tail=100

Uninstall Extension

bash
# Delete the InstallPlan to uninstall
kubectl delete installplan whizard-telemetry

Update Configuration

When new observability extensions are installed or uninstalled (e.g., whizard-logging, whizard-events, whizard-auditing), you need to update the whizard-telemetry config.

Step 1: Generate new config

bash
cd whizard-telemetry && ./scripts/generate-config.sh

This script will check installed extensions and generate the complete config.

Step 2: Update InstallPlan

bash
# Get the generated config (between ---CONFIG_START--- and ---CONFIG_END---)
# Then patch the InstallPlan:
kubectl get installplan whizard-telemetry -n kubesphere-system -o yaml > /tmp/whizard-telemetry.yaml

# Edit the file and update the config section, then apply:
kubectl apply -f /tmp/whizard-telemetry.yaml

Note: The config is automatically generated based on installed extensions. After installing new extensions (logging, events, auditing, notification, etc.), always regenerate and apply the config.

Troubleshooting

Check API Server Health

bash
# Check API server endpoints
kubectl get endpoints -n extension-whizard-telemetry whizard-telemetry-apiserver

# Check API server service
kubectl get svc -n extension-whizard-telemetry whizard-telemetry-apiserver

View Configuration

bash
# View current configuration
kubectl get installplan whizard-telemetry -o yaml

# View configmap
kubectl get configmap -n extension-whizard-telemetry whizard-telemetry-config -o yaml

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Whizard Telemetry AI skill do?

Use when installing or configuring the WizTelemetry Platform Service extension for KubeSphere, which provides the common APIServer backend services for all WizTelemetry observability extensions

Why use Whizard Telemetry on TypingMind?

Because you install it once and use it with any model. Whizard Telemetry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Whizard Telemetry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kubesphere/kubesphere/tree/master/skills/whizard-telemetry. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Whizard Telemetry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Whizard Telemetry?

As many as you like. As long as a model supports skills, you can use Whizard Telemetry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Whizard Telemetry AI skill free?

It is published on GitHub by kubesphere. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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