istio-traffic-management

29.9k

wshobson

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

Istio Traffic Management

18.0k

sickn33

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience controls.

canary-deployment-setup

1.5k

jeremylongshore

Configure canary deployment setup operations. Auto-activating skill for ML Deployment. Triggers on: canary deployment setup, canary deployment setup Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "canary deployment setup", "canary setup", "deploy canary ment setup".

k8s-deploy

840

rohitg00

Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management.

k8s-rollouts

840

rohitg00

Progressive delivery with Argo Rollouts and Flagger. Use when implementing canary deployments, blue-green deployments, or traffic shifting strategies.

k8s-service-mesh

840

rohitg00

Manage Istio service mesh for traffic management, security, and observability. Use for traffic shifting, canary releases, mTLS, and service mesh troubleshooting.

seldon-model-deployer

376

a5c-ai

Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.

deployment-engineer

360

Dokhacgiakhoa

MASTER DEPLOY: CI/CD Pipelines, Docker, K8s, GitOps (Flux/ArgoCD), Progressive Delivery (Canary). Use for Infra setup, pipelines, and releases.

implementing-service-mesh

296

ancoleman

Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary deployments.

shift-right-testing

215

proffesor-for-testing

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.

qe-shift-right-testing

215

proffesor-for-testing

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.

deployment-pipeline-design

206

rsmdt

Pipeline design, deployment strategies (blue-green, canary, rolling), and CI/CD platform patterns. Use when designing pipelines, implementing deployments, configuring quality gates, or setting up automated release workflows. Covers GitHub Actions, GitLab CI, and platform-agnostic patterns.

canary-deployment

95

aj-geddes

Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.

deployment-automation

95

aj-geddes

Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.

feature-flag-system

95

aj-geddes

Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.

discover-deployment

76

rand

Automatically discover deployment and release skills when working with Netlify, Heroku, blue-green, canary, rolling deployment, or platform deployment. Activates for deployment development tasks.

Testing in Production Patterns

71

PramodDutta

Safe testing-in-production strategies including feature flags, shadow traffic, canary releases, dark launches, and observability-driven development.

Production Smoke Suite

71

PramodDutta

Build lightweight production smoke test suites that verify critical user paths, API health, and third-party integrations after every deployment.

Canary Deployment Testing

71

PramodDutta

Canary deployment validation testing including traffic splitting, metric comparison, automatic rollback triggers, and health score calculation.

deployment-engineer

39

404kidwiz

Expert Deployment Engineer specializing in CI/CD automation, containerization, and release management across diverse platforms. Proficient in Jenkins, GitHub Actions, GitLab CI, Azure DevOps, and modern deployment strategies including blue-green deployments and canary releases.

deployment-engineer

36

zenobi-us

Expert deployment engineer specializing in CI/CD pipelines, release automation, and deployment strategies. Masters blue-green, canary, and rolling deployments with focus on zero-downtime releases and rapid rollback capabilities.

CI/CD Pipeline

29

omer-metin

World-class continuous integration and deployment - GitHub Actions, GitLab CI, deployment strategies, and the battle scars from pipelines that broke production. Use when "ci/cd, cicd, pipeline, github actions, gitlab ci, circleci, jenkins, workflow, deployment, deploy, release, blue green, canary, rollback, build, test automation, continuous integration, continuous deployment, cicd, github-actions, gitlab-ci, deployment, automation, devops, pipelines, continuous-integration, continuous-deployment" mentioned.

feature-flags

27

cosmix

Feature flag patterns for controlled rollouts, A/B testing, kill switches, and runtime configuration. Use when implementing feature toggles, feature flags, gradual rollouts, canary releases, percentage rollouts, dark launches, user targeting, A/B tests, experiments, circuit breakers, emergency kill switches, model switching, or infrastructure flags.

release-coordinator

25

nahisaho

Coordinates multi-component releases, feature flags, versioning, and rollback strategies. Trigger terms: release management, release planning, release coordination, feature flags, canary deployment, progressive rollout, release notes, rollback strategy, release train, deployment coordination, versioning, changelog, release approval, deployment checklist. Manages complex release workflows: - Multi-component release coordination - Feature flag strategy and management - Versioning and changelog generation - Canary and blue-green deployments - Progressive rollout strategies - Rollback procedures - Release approval workflows - Post-release verification Use when: planning releases, coordinating multi-service deployments, managing feature flags, or generating release notes.

gitops-patterns

23

Tibsfox

Provides GitOps best practices for ArgoCD, Flux, Argo Rollouts, and progressive delivery strategies. Use when setting up GitOps workflows, configuring continuous delivery, managing Kubernetes deployments declaratively, or when user mentions 'gitops', 'argocd', 'flux', 'progressive delivery', 'reconciliation', 'argo rollouts', 'canary', 'sealed secrets'.

release-management

23

Tibsfox

Provides release management strategies including deployment patterns, version control, and rollback procedures. Use when planning releases, managing deployments, or when user mentions 'release', 'canary', 'blue-green', 'rollback', 'feature flag', 'release train', 'semantic versioning', 'changelog', 'migration'.

ArgoRollouts

20

julianobarbosa

Argo Rollouts progressive delivery controller for Kubernetes. USE WHEN user mentions rollouts, canary deployments, blue-green deployments, progressive delivery, traffic shifting, analysis templates, or Argo Rollouts. Provides deployment strategies, CLI commands, metrics analysis, and YAML examples.

knative

20

julianobarbosa

Knative serverless platform for Kubernetes. Use when deploying serverless workloads, configuring autoscaling (scale-to-zero), building event-driven architectures, managing traffic (blue-green, canary), routing CloudEvents, working with Brokers/Triggers/Sources, or using Knative Serving, Eventing, or Functions. Also covers installation, networking (Kourier/Istio/Contour), and troubleshooting.

Release Manager

17

daffy0208

Ship features safely with progressive rollouts, feature flags, and canary deployments. Use when deploying risky features or when you need gradual rollouts.

model-serving-kubernetes

10

BagelHole

Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.

blue-green-deploy

10

BagelHole

Configure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. Implement traffic shifting, health checks, and rollback procedures. Use when implementing production deployment strategies or zero-downtime releases.

openfeature

10

laurigates

OpenFeature vendor-agnostic feature flag SDK with standardized API across languages. Covers SDK installation, flag evaluation, providers, and hooks. Use when implementing feature flags, A/B testing, canary releases, or when user mentions OpenFeature, feature toggles, or progressive rollouts.

feature-flag-manager

9

TerminalSkills

When the user needs to implement feature flags, gradual rollouts, or experiment bucketing. Use when the user mentions "feature flag," "feature toggle," "gradual rollout," "canary release," "percentage rollout," "kill switch," "user bucketing," "experiment assignment," or "dark launch." Covers flag evaluation, deterministic user assignment, targeting rules, and flag lifecycle management. For experiment design, see ab-test-setup. For event tracking, see analytics-tracking.

gcp-cloud-run

9

TerminalSkills

Deploy serverless containers on Google Cloud Run. Build and push container images, configure auto-scaling from zero, split traffic between revisions for canary deployments, and set up custom domains with managed TLS.

self-test-skill-invocation

7

konflux-ci

Use when user asks to "test skill invocation framework" or mentions "canary skill test". This is a self-test skill to verify the test framework correctly loads and invokes skills.

nextjs-canary-docs

6

jasonz-ncc42

Local Next.js documentation reference (canary branch). Use when asked about Next.js features, App Router, Server Components, routing, data fetching, rendering, caching, styling, optimizations, configuration, or Next.js APIs.

istio-traffic-management

5

agent-skills-hub

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

devops-cicd

5

sunnypatneedi

Build robust CI/CD pipelines with GitHub Actions, Docker containers, infrastructure as code, deployment strategies (blue-green, canary), and monitoring. Automate everything from commit to production.

canary-setup

4

toolkit-ai

Interactive setup workflow for configuring the Magnet MCP server to use the canary environment (project-specific, magnet-app directory only). Use when user says "canary setup", "use canary", "test on canary", "configure canary MCP", or "set up canary environment".

k8s-gitops

4

kcns008

GitOps workflows and CI/CD pipeline integration for Kubernetes and OpenShift. Use this skill when: (1) Setting up ArgoCD or Flux for GitOps deployment (2) Creating CI/CD pipelines for K8s workloads (GitHub Actions, GitLab CI, Tekton) (3) Implementing progressive delivery (Canary, Blue-Green, A/B testing) (4) Configuring Kustomize overlays for multi-environment deployments (5) Creating Helm charts or managing Helm releases (6) Setting up image automation and promotion workflows (7) Implementing policy-as-code (Kyverno, OPA Gatekeeper) (8) Secret management in GitOps (Sealed Secrets, External Secrets, SOPS) (9) Multi-cluster GitOps configurations (10) OpenShift Pipelines (Tekton) and GitOps Operator setup

istio-traffic-management

4

ngxtm

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilie...

mcp-uninstall

4

toolkit-ai

Remove magnet-local and/or magnet-canary MCP server configurations from project and global locations. Use when user says "uninstall mcp", "remove mcp", "delete mcp config", or "clean up mcp".

pentest-data-exfil-tester

3

0x-Professor

Test egress and DLP controls using synthetic canary data across authorized exfiltration channels.

setup-service-mesh

2

pjt222

Deploy and configure a service mesh (Istio or Linkerd) to enable secure service-to-service communication, traffic management, observability, and policy enforcement in Kubernetes clusters. Covers installation, mTLS configuration, traffic routing, circuit breaking, and integration with monitoring tools. Use when microservices need encrypted service-to-service communication, fine-grained traffic control for canary or A/B deployments, observability across all service interactions without application changes, or consistent circuit breaking and retry policies.

implementing-honeypot-for-ransomware-detection

2

mukul975

Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage. Configures canary tokens embedded in strategic file locations that trigger alerts when ransomware attempts encryption, uses honeypot network shares that mimic high-value targets, and deploys Thinkst Canary appliances for comprehensive deception-based detection. Activates for requests involving ransomware honeypots, canary files, deception technology for ransomware, or early ransomware alerting.

configure-ingress-networking

2

pjt222

Configure Kubernetes Ingress networking with NGINX Ingress Controller, cert-manager for automated TLS certificate management, path-based routing, rate limiting, and multi-domain hosting with SSL termination and load balancing. Use when exposing multiple Kubernetes services via a single load balancer, implementing path-based or host-based routing, automating TLS certificate issuance with Let's Encrypt, or setting up blue-green and canary deployments with traffic splitting.

run-ab-test-models

2

pjt222

Design and execute A/B tests for ML models in production using traffic splitting, statistical significance testing, and canary/shadow deployment strategies. Measure performance differences and make data-driven decisions about model rollout. Use when validating a new model version before full rollout, comparing candidate models trained with different algorithms, measuring business metric impact of model changes, or when regulatory requirements mandate gradual rollout.

setup-service-mesh

2

pjt222

Deploy and configure a service mesh (Istio or Linkerd) to enable secure service-to-service communication, traffic management, observability, and policy enforcement in Kubernetes clusters. Covers installation, mTLS configuration, traffic routing, circuit breaking, and integration with monitoring tools. Use when microservices need encrypted service-to-service communication, fine-grained traffic control for canary or A/B deployments, observability across all service interactions without application changes, or consistent circuit breaking and retry policies.