Kubernetes
Kubernetes 编排
mtls-configuration
EngineerWithAI
Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.
deployment-pipeline-design
EngineerWithAI
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
Project Analyzer
quqi-ai
这个一个专门用来详细分析java项目的skill，方便新入职人员以及刚接手项目的开发者提供帮助。
pyside6-qml-architecture
DS-codi
Use this skill when creating a new PySide6 + QML desktop application with MVC architecture, setting up project structure, implementing the application bootstrap / DI container, or understanding how the MVC layers connect. Covers project scaffolding, entry points, singleton application class, service locator, signal registry, and lifecycle management.
pyside6-qml-models-services
DS-codi
Use this skill when creating domain models with Qt signal support, implementing the repository pattern for data persistence, building service classes for external interactions, designing the central signal registry, or working with application state management. Covers BaseModel, model serialization, database repositories, service patterns, signal definitions, and the ApplicationState singleton.
istio-traffic-management
EngineerWithAI
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.
microservices-patterns
EngineerWithAI
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
javascript-testing-patterns
atalovesyou
Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows.
registry
frames-engineering
Pay-per-call API gateway for AI agents. 8 services available via x402 — no API keys, no subscriptions.
multi-cloud-architecture
EngineerWithAI
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
Rails Development Environment Skill
arlenagreer
For detailed troubleshooting, see references/troubleshooting.md.
service-mesh-observability
EngineerWithAI
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
AIRS Integration
fabioc-aloha
"Practical application of AIRS psychometric assessment for AI readiness, reliance calibration, and adoption optimization"
databricks-asset-bundles
vivekgana
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
devops-deployer
ajianaz
Comprehensive DevOps and deployment workflow that orchestrates infrastructure automation, CI/CD pipelines, container orchestration, and cloud deployment. Handles everything from infrastructure as code and pipeline setup to monitoring, scaling, and disaster recovery.
cloud-run-deployment
Agentient
Deploy and manage Google Cloud Run services with traffic management and scaling. PROACTIVELY activate for: (1) deploying containers to Cloud Run, (2) configuring blue-green or canary deployments, (3) managing traffic splits and rollbacks. Triggers: "cloud run", "deploy", "traffic split"
gcp-services
Agentient
Configure GCP IAM, Secret Manager, and VPC networking with security best practices. PROACTIVELY activate for: (1) setting up service accounts and IAM permissions, (2) managing secrets in Secret Manager, (3) configuring VPC and firewall rules. Triggers: "iam", "secret manager", "vpc"
masumi
masumi-network
"Build AI agents with decentralized payments, identity, and marketplace integration on Masumi Network (Cardano blockchain). Make no mistake - use this skill when working with: (1) Monetizing AI agents with automated payments, (2) Enabling Agent-to-Agent (A2A) autonomous payments, (3) Registering agents in decentralized registry, (4) Listing agents on Sokosumi marketplace, (5) Implementing blockchain-based decision logging, (6) Adding verifiable credentials and DIDs to agents, (7) Setting up Masumi Payment Service nodes, (8) Integrating MIP-003 Agentic Service API, (9) Working with CrewAI, AutoGen, PhiData, LangGraph or custom frameworks, (10) Troubleshooting payment detection or registry issues, (11) Cardano smart contract integration for AI services. Framework-agnostic, self-hosted, and MiCA compliant."
backend-architect
dmonteroh
"Guides backend architecture for operable services and APIs, covering boundaries, contracts, reliability, integration patterns, and rollout safety. Use when designing or changing backend services/APIs and their operability plans."
android-workflow-beta
hitoshura25
Generate GitHub Actions workflow for beta testing track deployment
gitops-workflows
liauw-media
"GitOps deployment patterns with ArgoCD and Flux. Use when implementing Git-based infrastructure management, continuous deployment, or declarative operations."
testing-anti-patterns
liauw-media
"Use to avoid critical testing mistakes. Five Iron Laws: Never test mock behavior, Never add test-only methods, Never mock without understanding, Always integration test, Always test error paths."
policy-as-code
liauw-media
"Policy as Code with OPA, Kyverno, and Checkov. Use when implementing governance, compliance automation, or security policies for infrastructure and Kubernetes."
aiconfigurator
tylertitsworth
"NVIDIA AIConfigurator — optimal LLM serving configuration for disaggregated/aggregated deployments, parallelism selection (TP/PP/EP/DP), quantization, and MOE planning. Use when planning model deployment topology on NVIDIA GPUs."