kubernetes-specialist

Name: kubernetes-specialist
Author: DNYoussef

32stars6forks

How to install kubernetes-specialist?

dnyoussef/context-cascade/kubernetes-specialist

$npx -y skills add DNYoussef/context-cascade --skill kubernetes-specialist

Installs into the current project.

Summary

/*============================================================================*/ /* KUBERNETES-SPECIALIST SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/

Files · 1

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SKILL.md

1	/============================================================================/
2	/* KUBERNETES-SPECIALIST SKILL :: VERILINGUA x VERIX EDITION */
3	/============================================================================/
4
5	---
6	name: kubernetes-specialist
7	version: 1.0.0
8	description: \|
9	[assert\|neutral] Kubernetes orchestration expert for Helm chart development, custom operators and CRDs, service mesh (Istio/Linkerd), auto-scaling strategies (HPA/VPA/Cluster Autoscaler), multi-cluster management, and [ground:given] [conf:0.95] [state:confirmed]
10	category: Cloud Platforms
11	tags:
12	- general
13	author: system
14	cognitive_frame:
15	primary: aspectual
16	goal_analysis:
17	first_order: "Execute kubernetes-specialist workflow"
18	second_order: "Ensure quality and consistency"
19	third_order: "Enable systematic Cloud Platforms processes"
20	---
21
22	/----------------------------------------------------------------------------/
23	/* S0 META-IDENTITY */
24	/----------------------------------------------------------------------------/
25
26	[define\|neutral] SKILL := {
27	name: "kubernetes-specialist",
28	category: "Cloud Platforms",
29	version: "1.0.0",
30	layer: L1
31	} [ground:given] [conf:1.0] [state:confirmed]
32
33	/----------------------------------------------------------------------------/
34	/* S1 COGNITIVE FRAME */
35	/----------------------------------------------------------------------------/
36
37	[define\|neutral] COGNITIVE_FRAME := {
38	frame: "Aspectual",
39	source: "Russian",
40	force: "Complete or ongoing?"
41	} [ground:cognitive-science] [conf:0.92] [state:confirmed]
42
43	## Kanitsal Cerceve (Evidential Frame Activation)
44	Kaynak dogrulama modu etkin.
45
46	/----------------------------------------------------------------------------/
47	/* S2 TRIGGER CONDITIONS */
48	/----------------------------------------------------------------------------/
49
50	[define\|neutral] TRIGGER_POSITIVE := {
51	keywords: ["kubernetes-specialist", "Cloud Platforms", "workflow"],
52	context: "user needs kubernetes-specialist capability"
53	} [ground:given] [conf:1.0] [state:confirmed]
54
55	/----------------------------------------------------------------------------/
56	/* S3 CORE CONTENT */
57	/----------------------------------------------------------------------------/
58
59	# Kubernetes Specialist
60
61	## Kanitsal Cerceve (Evidential Frame Activation)
62	Kaynak dogrulama modu etkin.
63
64
65
66	Expert Kubernetes orchestration for cloud-native applications with production-grade deployments.
67
68	## Purpose
69
70	Comprehensive Kubernetes expertise including Helm charts, custom operators, service mesh, auto-scaling, and GitOps. Ensures K8s deployments are resilient, secure, observable, and cost-effective.
71
72	## When to Use
73
74	- Deploying microservices to Kubernetes
75	- Creating Helm charts for reusable deployments
76	- Implementing auto-scaling (HPA, VPA, Cluster Autoscaler)
77	- Setting up service mesh for advanced networking
78	- Building custom operators with Operator SDK
79	- Implementing GitOps with ArgoCD or Flux
80	- Optimizing pod scheduling and resource allocation
81
82	## Prerequisites
83
84	Required: Docker, kubectl, basic K8s concepts (Pods, Services, Deployments)
85
86	Agents: `system-architect`, `cicd-engineer`, `perf-analyzer`, `security-manager`
87
88	## Core Workflows
89
90	### Workflow 1: Production-Grade Deployment
91
92	Step 1: Create Deployment Manifest
93
94	```yaml
95	# deployment.yaml
96	apiVersion: apps/v1
97	kind: Deployment
98	metadata:
99	name: my-app
100	labels:
101	app: my-app
102	spec:
103	replicas: 3
104	selector:
105	matchLabels:
106	app: my-app
107	template:
108	metadata:
109	labels:
110	app: my-app
111	version: v1
112	spec:
113	containers:
114	- name: app
115	image: myregistry/my-app:v1.0.0
116	ports:
117	- containerPort: 8080
118	resources:
119	requests:
120	memory: "128Mi"
121	cpu: "100m"
122	limits:
123	memory: "256Mi"
124	cpu: "500m"
125	livenessProbe:
126	httpGet:
127	path: /health
128	port: 8080
129	initialDelaySeconds: 30
130	periodSeconds: 10
131	readinessProbe:
132	httpGet:
133	path: /ready
134	port: 8080
135	initialDelaySeconds: 5
136	periodSeconds: 5
137	securityContext:
138	runAsNonRoot: true
139	readOnlyRootFilesystem: true
140	allowPrivilegeEscalation: false
141	capabilities:
142	drop:
143	- ALL
144	affinity:
145	podAntiAffinity:
146	preferredDuringSchedulingIgnoredDuringExecution:
147	- weight: 100
148	podAffinityTerm:
149	labelSelector:
150	matchExpressions:
151	- key: app
152	operator: In
153	values:
154	- my-app
155	topologyKey: kubernetes.io/hostname
156	```
157
158	**Step 2: Create Service and

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Type

kubernetes-specialist

32stars6forks

View on GitHub

How to install kubernetes-specialist?

dnyoussef/context-cascade/kubernetes-specialist

$npx -y skills add DNYoussef/context-cascade --skill kubernetes-specialist

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	/============================================================================/
2	/* KUBERNETES-SPECIALIST SKILL :: VERILINGUA x VERIX EDITION */
3	/============================================================================/
4
5	---
6	name: kubernetes-specialist
7	version: 1.0.0
8	description: \|
9	[assert\|neutral] Kubernetes orchestration expert for Helm chart development, custom operators and CRDs, service mesh (Istio/Linkerd), auto-scaling strategies (HPA/VPA/Cluster Autoscaler), multi-cluster management, and [ground:given] [conf:0.95] [state:confirmed]
10	category: Cloud Platforms
11	tags:
12	- general
13	author: system
14	cognitive_frame:
15	primary: aspectual
16	goal_analysis:
17	first_order: "Execute kubernetes-specialist workflow"
18	second_order: "Ensure quality and consistency"
19	third_order: "Enable systematic Cloud Platforms processes"
20	---
21
22	/----------------------------------------------------------------------------/
23	/* S0 META-IDENTITY */
24	/----------------------------------------------------------------------------/
25
26	[define\|neutral] SKILL := {
27	name: "kubernetes-specialist",
28	category: "Cloud Platforms",
29	version: "1.0.0",
30	layer: L1
31	} [ground:given] [conf:1.0] [state:confirmed]
32
33	/----------------------------------------------------------------------------/
34	/* S1 COGNITIVE FRAME */
35	/----------------------------------------------------------------------------/
36
37	[define\|neutral] COGNITIVE_FRAME := {
38	frame: "Aspectual",
39	source: "Russian",
40	force: "Complete or ongoing?"
41	} [ground:cognitive-science] [conf:0.92] [state:confirmed]
42
43	## Kanitsal Cerceve (Evidential Frame Activation)
44	Kaynak dogrulama modu etkin.
45
46	/----------------------------------------------------------------------------/
47	/* S2 TRIGGER CONDITIONS */
48	/----------------------------------------------------------------------------/
49
50	[define\|neutral] TRIGGER_POSITIVE := {
51	keywords: ["kubernetes-specialist", "Cloud Platforms", "workflow"],
52	context: "user needs kubernetes-specialist capability"
53	} [ground:given] [conf:1.0] [state:confirmed]
54
55	/----------------------------------------------------------------------------/
56	/* S3 CORE CONTENT */
57	/----------------------------------------------------------------------------/
58
59	# Kubernetes Specialist
60
61	## Kanitsal Cerceve (Evidential Frame Activation)
62	Kaynak dogrulama modu etkin.
63
64
65
66	Expert Kubernetes orchestration for cloud-native applications with production-grade deployments.
67
68	## Purpose
69
70	Comprehensive Kubernetes expertise including Helm charts, custom operators, service mesh, auto-scaling, and GitOps. Ensures K8s deployments are resilient, secure, observable, and cost-effective.
71
72	## When to Use
73
74	- Deploying microservices to Kubernetes
75	- Creating Helm charts for reusable deployments
76	- Implementing auto-scaling (HPA, VPA, Cluster Autoscaler)
77	- Setting up service mesh for advanced networking
78	- Building custom operators with Operator SDK
79	- Implementing GitOps with ArgoCD or Flux
80	- Optimizing pod scheduling and resource allocation
81
82	## Prerequisites
83
84	Required: Docker, kubectl, basic K8s concepts (Pods, Services, Deployments)
85
86	Agents: `system-architect`, `cicd-engineer`, `perf-analyzer`, `security-manager`
87
88	## Core Workflows
89
90	### Workflow 1: Production-Grade Deployment
91
92	Step 1: Create Deployment Manifest
93
94	```yaml
95	# deployment.yaml
96	apiVersion: apps/v1
97	kind: Deployment
98	metadata:
99	name: my-app
100	labels:
101	app: my-app
102	spec:
103	replicas: 3
104	selector:
105	matchLabels:
106	app: my-app
107	template:
108	metadata:
109	labels:
110	app: my-app
111	version: v1
112	spec:
113	containers:
114	- name: app
115	image: myregistry/my-app:v1.0.0
116	ports:
117	- containerPort: 8080
118	resources:
119	requests:
120	memory: "128Mi"
121	cpu: "100m"
122	limits:
123	memory: "256Mi"
124	cpu: "500m"
125	livenessProbe:
126	httpGet:
127	path: /health
128	port: 8080
129	initialDelaySeconds: 30
130	periodSeconds: 10
131	readinessProbe:
132	httpGet:
133	path: /ready
134	port: 8080
135	initialDelaySeconds: 5
136	periodSeconds: 5
137	securityContext:
138	runAsNonRoot: true
139	readOnlyRootFilesystem: true
140	allowPrivilegeEscalation: false
141	capabilities:
142	drop:
143	- ALL
144	affinity:
145	podAntiAffinity:
146	preferredDuringSchedulingIgnoredDuringExecution:
147	- weight: 100
148	podAffinityTerm:
149	labelSelector:
150	matchExpressions:
151	- key: app
152	operator: In
153	values:
154	- my-app
155	topologyKey: kubernetes.io/hostname
156	```
157
158	**Step 2: Create Service and

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6 picks

Type