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knativeknative 命令行

Agent Skill

knative 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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1,004

周安装

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GitHub Stars

61

下载量

325
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:knative(knative 命令行)
来源仓库:https://github.com/julianobarbosa/claude-code-skills
仓库路径:skills/knative
安装命令:
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill knative
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill knative

简介

knative 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理时使用。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • knative 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Knative Skill

Overview

Knative is an open-source Kubernetes-based platform for deploying and managing serverless workloads. It provides three main components:

ComponentPurposeKey Features
ServingHTTP-triggered autoscaling runtimeScale-to-zero, traffic splitting, revisions
EventingEvent-driven architecturesBrokers, Triggers, Sources, CloudEvents
FunctionsSimplified function deploymentfunc CLI, multi-language support

Current Version: v1.20.0 (as of late 2024)

When to Use This Skill

Use this skill when the user:

  • Wants to deploy serverless workloads on Kubernetes
  • Needs scale-to-zero autoscaling capabilities
  • Is implementing event-driven architectures
  • Needs traffic management (blue-green, canary, gradual rollout)
  • Works with CloudEvents or event routing
  • Mentions Knative Serving, Eventing, or Functions
  • Asks about Brokers, Triggers, Sources, or Sinks
  • Needs to configure networking layers (Kourier, Istio, Contour)

Quick Reference

Knative Service (Serving)

apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
  namespace: default
spec:
  template:
    metadata:
      annotations:
        # Autoscaling configuration
        autoscaling.knative.dev/class: kpa.autoscaling.knative.dev
        autoscaling.knative.dev/min-scale: "0"
        autoscaling.knative.dev/max-scale: "10"
        autoscaling.knative.dev/target: "100"  # concurrent requests
    spec:
      containers:
        - image: gcr.io/my-project/my-app:latest
          ports:
            - containerPort: 8080
          resources:
            requests:
              cpu: 100m
              memory: 128Mi
            limits:
              memory: 128Mi  # Memory limit = request (required)
          # NO CPU limits (causes throttling)

Traffic Splitting

apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
spec:
  template:
    # ... container spec
  traffic:
    # Blue-green: 100% to new or old
    - revisionName: my-service-00001
      percent: 90
    - revisionName: my-service-00002
      percent: 10
    # Or use latestRevision
    - latestRevision: true
      percent: 100

Tagged Revisions (Preview URLs)

traffic:
  - revisionName: my-service-00002
    percent: 0
    tag: staging  # Accessible at staging-my-service.example.com
  - latestRevision: true
    percent: 100
    tag: production

Broker and Trigger (Eventing)

# Create a Broker
apiVersion: eventing.knative.dev/v1
kind: Broker
metadata:
  name: default
  namespace: default
---
# Create a Trigger to route events
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
  name: my-trigger
  namespace: default
spec:
  broker: default
  filter:
    attributes:
      type: dev.knative.example
      source: /my/source
  subscriber:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: my-service

Event Source Example (PingSource)

apiVersion: sources.knative.dev/v1
kind: PingSource
metadata:
  name: cron-job
spec:
  schedule: "*/1 * * * *"  # Every minute
  contentType: application/json
  data: '{"message": "Hello from cron"}'
  sink:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: event-display

Installation

Prerequisites

  • Kubernetes cluster v1.28+
  • kubectl configured
  • Cluster admin permissions

Method 1: YAML Install (Recommended for GitOps)

# Install Knative Serving CRDs and Core
kubectl apply -f https://github.com/knative/serving/releases/download/knative-v1.20.0/serving-crds.yaml
kubectl apply -f https://github.com/knative/serving/releases/download/knative-v1.20.0/serving-core.yaml

# Install Networking Layer (choose one)
# Option A: Kourier (lightweight, recommended for most cases)
kubectl apply -f https://github.com/knative/net-kourier/releases/download/knative-v1.20.0/kourier.yaml
kubectl patch configmap/config-network \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{"ingress-class":"kourier.ingress.networking.knative.dev"}}'

# Option B: Istio (for service mesh requirements)
kubectl apply -f https://github.com/knative/net-istio/releases/download/knative-v1.20.0/net-istio.yaml

# Install Knative Eventing
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/eventing-crds.yaml
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/eventing-core.yaml

# Install In-Memory Channel (dev only) or Kafka Channel (production)
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/in-memory-channel.yaml

# Install MT-Channel-Based Broker
kubectl apply -f https://github.com/knative/eventing/releases/download/knative-v1.20.0/mt-channel-broker.yaml

Method 2: Knative Operator

# Install the Operator
kubectl apply -f https://github.com/knative/operator/releases/download/knative-v1.20.0/operator.yaml

# Deploy Knative Serving
apiVersion: operator.knative.dev/v1beta1
kind: KnativeServing
metadata:
  name: knative-serving
  namespace: knative-serving
spec:
  ingress:
    kourier:
      enabled: true
  config:
    network:
      ingress-class: kourier.ingress.networking.knative.dev

---
# Deploy Knative Eventing
apiVersion: operator.knative.dev/v1beta1
kind: KnativeEventing
metadata:
  name: knative-eventing
  namespace: knative-eventing

Configure DNS

# Get the External IP of the ingress
kubectl get svc kourier -n kourier-system

# Option A: Real DNS (production)
# Create A record: *.knative.example.com -> EXTERNAL-IP

# Option B: Magic DNS with sslip.io (development)
kubectl patch configmap/config-domain \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{"<EXTERNAL-IP>.sslip.io":""}}'

# Option C: Default domain (internal only)
kubectl patch configmap/config-domain \
  --namespace knative-serving \
  --type merge \
  --patch '{"data":{"example.com":""}}'

Autoscaling

Autoscaler Classes

ClassKeyScale to ZeroMetrics
KPA (default)kpa.autoscaling.knative.devYesConcurrency, RPS
HPAhpa.autoscaling.knative.devNoCPU, Memory

Autoscaling Annotations

metadata:
  annotations:
    # Autoscaler class
    autoscaling.knative.dev/class: kpa.autoscaling.knative.dev

    # Scale bounds
    autoscaling.knative.dev/min-scale: "1"    # Prevent scale-to-zero
    autoscaling.knative.dev/max-scale: "100"
    autoscaling.knative.dev/initial-scale: "3"

    # Scaling metric (KPA)
    autoscaling.knative.dev/metric: concurrency  # or rps
    autoscaling.knative.dev/target: "100"        # target per pod

    # Scale-down behavior
    autoscaling.knative.dev/scale-down-delay: "5m"
    autoscaling.knative.dev/scale-to-zero-pod-retention-period: "1m"

    # Window for averaging metrics
    autoscaling.knative.dev/window: "60s"

Concurrency Limits

spec:
  template:
    spec:
      containerConcurrency: 100  # Hard limit per pod (0 = unlimited)

Networking

Networking Layer Comparison

LayerProsConsUse Case
KourierLightweight, fast, simpleLimited featuresMost deployments
IstioFull service mesh, mTLSHeavy, complexEnterprise, security-critical
ContourEnvoy-based, good performanceMedium complexityHigh-traffic apps

TLS Configuration

# Using cert-manager (recommended)
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: my-service
  annotations:
    # Auto-TLS with cert-manager
    networking.knative.dev/certificate-class: cert-manager
spec:
  # ... template spec

Custom Domain Mapping

apiVersion: serving.knative.dev/v1beta1
kind: DomainMapping
metadata:
  name: api.example.com
  namespace: default
spec:
  ref:
    kind: Service
    name: my-service
    apiVersion: serving.knative.dev/v1

Eventing Patterns

Event Source Types

SourceDescriptionUse Case
PingSourceCron-based eventsScheduled tasks
ApiServerSourceK8s API eventsCluster monitoring
KafkaSourceKafka messagesStream processing
GitHubSourceGitHub webhooksCI/CD triggers
ContainerSourceCustom containerAny external system

Channel Types

ChannelPersistenceUse Case
InMemoryChannelNoDevelopment only
KafkaChannelYesProduction
NATSChannelConfigurableHigh throughput

Sequence (Chained Processing)

apiVersion: flows.knative.dev/v1
kind: Sequence
metadata:
  name: my-sequence
spec:
  channelTemplate:
    apiVersion: messaging.knative.dev/v1
    kind: InMemoryChannel
  steps:
    - ref:
        apiVersion: serving.knative.dev/v1
        kind: Service
        name: step-1
    - ref:
        apiVersion: serving.knative.dev/v1
        kind: Service
        name: step-2
  reply:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: final-handler

Parallel (Fan-out)

apiVersion: flows.knative.dev/v1
kind: Parallel
metadata:
  name: my-parallel
spec:
  channelTemplate:
    apiVersion: messaging.knative.dev/v1
    kind: InMemoryChannel
  branches:
    - subscriber:
        ref:
          apiVersion: serving.knative.dev/v1
          kind: Service
          name: handler-a
    - subscriber:
        ref:
          apiVersion: serving.knative.dev/v1
          kind: Service
          name: handler-b

Knative Functions

CLI Installation

# macOS
brew install knative/client/func

# Linux
curl -sL https://github.com/knative/func/releases/latest/download/func_linux_amd64 -o func
chmod +x func && sudo mv func /usr/local/bin/

Function Lifecycle

# Create a new function
func create -l python my-function
cd my-function

# Build the function
func build

# Deploy to cluster
func deploy

# Invoke locally
func invoke

# Invoke remote
func invoke --target=remote

Supported Languages

LanguageTemplateRuntime
GogoNative binary
Node.jsnodeNode.js 18+
PythonpythonPython 3.9+
QuarkusquarkusGraalVM/JVM
RustrustNative binary
TypeScripttypescriptNode.js

Function Configuration (func.yaml)

specVersion: 0.36.0
name: my-function
runtime: python
registry: docker.io/myuser
image: docker.io/myuser/my-function:latest
build:
  builder: pack
  buildpacks:
    - paketo-buildpacks/python
deploy:
  namespace: default
  annotations:
    autoscaling.knative.dev/min-scale: "1"
  env:
    - name: MY_VAR
      value: my-value
  volumes:
    - secret: my-secret
      path: /secrets

Best Practices

Resource Configuration

ResourceRequirementNotes
CPU requestsRequiredSet based on actual usage
CPU limitsFORBIDDENCauses throttling
Memory requestsRequiredMatch your app needs
Memory limitsRequiredMust equal requests
resources:
  requests:
    cpu: 100m
    memory: 128Mi
  limits:
    memory: 128Mi  # Same as request
    # NO cpu limit!

Probes Configuration

spec:
  containers:
    - image: my-app
      readinessProbe:
        httpGet:
          path: /health
          port: 8080
        initialDelaySeconds: 5
        periodSeconds: 10
      # Liveness probe optional for serverless
      # (Knative handles pod lifecycle)

Cold Start Optimization

  1. Keep minimum replicas: Set min-scale: "1" for latency-critical services
  2. Optimize container image: Use distroless/alpine base images
  3. Lazy initialization: Defer heavy initialization until first request
  4. Connection pooling: Pre-warm database connections

Production Checklist

  • Use KafkaChannel instead of InMemoryChannel
  • Configure proper resource requests/limits
  • Set up TLS with cert-manager
  • Configure custom domain
  • Set appropriate min/max scale values
  • Enable dead letter sink for Triggers
  • Configure monitoring (Prometheus metrics)
  • Set up proper RBAC

Troubleshooting

Common Issues

SymptomCauseSolution
Service not accessibleDNS not configuredConfigure domain mapping or use sslip.io
Pods not scaling upActivator overloadedIncrease activator replicas
Slow cold startsLarge image or slow initOptimize image, use min-scale: "1"
Events not deliveredBroker misconfiguredCheck Broker/Trigger status
503 errorsService scalingCheck activator logs, increase scale
Certificate errorscert-manager issueCheck ClusterIssuer and Certificate status

Diagnostic Commands

# Check Knative Serving status
kubectl get ksvc -A
kubectl describe ksvc <service-name>

# Check revisions
kubectl get revisions -A
kubectl describe revision <revision-name>

# Check routes
kubectl get routes -A

# Check Knative Eventing status
kubectl get brokers -A
kubectl get triggers -A
kubectl get sources -A

# Check event delivery
kubectl get subscriptions -A

# View activator logs
kubectl logs -n knative-serving -l app=activator -c activator

# View controller logs
kubectl logs -n knative-serving -l app=controller

# Check networking layer (Kourier)
kubectl logs -n kourier-system -l app=3scale-kourier-gateway

Debug Event Flow

# Deploy event-display service for debugging
kubectl apply -f - <<EOF
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: event-display
spec:
  template:
    spec:
      containers:
        - image: gcr.io/knative-releases/knative.dev/eventing/cmd/event_display
EOF

# Create a trigger to route all events
kubectl apply -f - <<EOF
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
  name: debug-trigger
spec:
  broker: default
  subscriber:
    ref:
      apiVersion: serving.knative.dev/v1
      kind: Service
      name: event-display
EOF

# Watch events
kubectl logs -l serving.knative.dev/service=event-display -c user-container -f

Integration with ArgoCD

ApplicationSet for Knative Services

apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
  name: knative-services
spec:
  generators:
    - git:
        repoURL: https://github.com/org/repo.git
        revision: HEAD
        directories:
          - path: knative-services/*
  template:
    metadata:
      name: '{{path.basename}}'
      annotations:
        # Disable SSA if using Jobs
        argocd.argoproj.io/compare-options: ServerSideDiff=false
    spec:
      project: default
      source:
        repoURL: https://github.com/org/repo.git
        targetRevision: HEAD
        path: '{{path}}'
      destination:
        server: https://kubernetes.default.svc
        namespace: default
      syncPolicy:
        automated:
          prune: true
          selfHeal: true

Health Checks for Knative Resources

ArgoCD automatically recognizes Knative resources. Custom health checks:

# In argocd-cm ConfigMap
data:
  resource.customizations.health.serving.knative.dev_Service: |
    hs = {}
    if obj.status ~= nil then
      if obj.status.conditions ~= nil then
        for _, condition in ipairs(obj.status.conditions) do
          if condition.type == "Ready" and condition.status == "True" then
            hs.status = "Healthy"
            hs.message = "Service is ready"
            return hs
          end
        end
      end
    end
    hs.status = "Progressing"
    hs.message = "Waiting for service to be ready"
    return hs

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.32%
按下载量换算99

OpenCode

22.72%
按下载量换算74

Gemini CLI

17.33%
按下载量换算56

Antigravity

11.46%
按下载量换算37

Codex

8.19%
按下载量换算27

Cursor

3.54%
按下载量换算12

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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