بنقرة واحدة
agent-skill-router
يحتوي agent-skill-router على 1,313 من skills المجمعة من paulpas، مع تغطية مهنية على مستوى المستودع وصفحات skill داخل الموقع.
Skills في هذا المستودع
Implements v1 ConfigMap manifests for injecting configuration data into pods via environment variables, volume mounts, and command-line arguments.
Implements apps/v1 Deployment YAML manifests with rolling update strategies, replica scaling, and rollback procedures for stateless application workloads.
Implements networking.k8s.io/v1 Ingress resources with HTTP/HTTPS routing, TLS termination, path-based routing, and ingress controller configuration.
Implements Istio service mesh patterns (sidecar injection, traffic splitting, circuit breaking, retries, and mTLS) for advanced traffic management and zero-downtime deployments in Kubernetes.
Implements networking.k8s.io/v1 NetworkPolicy resources with ingress and egress rules, pod selector targeting, and network segmentation for microservice isolation.
Implements v1 PersistentVolume, StorageClass, and PersistentVolumeClaim manifests with static/dynamic provisioning, access modes, and reclaim policies for Kubernetes storage.
Implements rbac.authorization.k8s.io/v1 Role, ClusterRole, RoleBinding, and ClusterRoleBinding manifests with least privilege access control for Kubernetes resources.
Implements apps/v1 StatefulSet manifests with stable network identities, ordered pod lifecycle, and persistent volume claim automation for stateful workloads.
Automates garbage collection of unused Kubernetes resources using Kyverno v2 ClusterCleanupPolicy and CleanupPolicy with cron scheduling and conditional deletion.
Manages Kyverno policy exemptions using PolicyException v2, rule-level exclude settings, and serviceAccount exemptions for controlled policy bypass.
Validates container images from approved registries with allowed tags using Kyverno verifyImages rules and image digest mutation to prevent unapproved or latest-tagged images.
Enforces required labels on Pods and Namespaces using Kyverno validate rules with pattern matching and CEL expressions for compliance tracking.
Mutates Kubernetes resources at admission using patchStrategicMerge, patchesJson6902, and set operations to inject labels, sidecars, and default configurations.
Generates default-deny and allowlist NetworkPolicy resources for Kubernetes namespaces using Kyverno generate rules to enforce network segmentation and zero-trust isolation.
Implements Kyverno podSecurity rules to enforce the Kubernetes Pod Security Standards baseline profile across namespaces in a cluster.
Enforces Kubernetes Pod Security Standards restricted profile using Kyverno podSecurity rules to prevent privileged containers, enforce runAsNonRoot, and require capability drops.
Implements Kyverno generate rules to automatically create or modify Kubernetes resources (ResourceQuota, LimitRange, NetworkPolicy) on namespace creation.
Manages PolicyReport overrides using Kyverno's failureActionOverrides, report configuration, and CEL-based conditions to customize compliance reporting per resource.
Validates Kubernetes pod resource requests and limits using Kyverno ClusterPolicy rules to enforce namespace quota compliance and prevent resource starvation.
Validates Kubernetes Secrets meet security requirements by checking secret types, enforcing labeling standards, and preventing legacy service-account-token usage.
Run a strict maintainability-first code review focused on file size limits, code structure, spaghetti detection, and code judo restructuring to prevent structural decay.
Configures Corosync Cluster Engine v3.x messaging layer including totem protocol, quorum models, nodelist management, knet/udpu transports, and security for Pacemaker HA clusters.
Manages Pacemaker HA clusters with pcs and crmsh for resource provisioning, constraints, STONITH fencing, quorum configuration, and cluster lifecycle operations on two-node and multi-node setups.
Implements three-tier replication architecture (DRBD+AI, ZFS+AI, AI-only rsync) for Progress OpenEdge 12.x databases without OER license.
Implements best practices for applying the Model Context Protocol (MCP) in AI/LLM environments, facilitating effective management of servers, clients, tools, resources, and prompts.
Implements the Singleton design pattern ensuring a class has only one instance while providing a global point of access to it.
Implements the Strategy design pattern allowing the definition of a family of algorithms, encapsulating each one, and making them interchangeable.
Implements the Open/Closed Principle (OCP) from SOLID design principles, allowing classes to be open for extension but closed for modification.
Implements the Single Responsibility Principle (SRP) from SOLID, ensuring a class has one reason to change.
Integrates LangChain/LangGraph for building LLM-powered agents and applications in Python, facilitating advanced logic and workflows.
Provides a thorough overview of software architectural patterns, including layers, microservices, event-driven architectures, and more.
Implements AWS DynamoDB functionalities, showcasing data modeling, queries, and performance optimization using the AWS SDK.
Implements best practices for designing GraphQL APIs, focusing on schema design, query optimization, and resolver implementation.
Implements best practices for Java/Kotlin applications using Spring Boot, leveraging Maven/Gradle, JVM tuning, and Jakarta EE patterns.
Explores essential software engineering principles for C/C++, focusing on memory management techniques, CMake usage, RAII, and concurrency primitives to build robust applications.
Implements microservices architecture patterns, including service discovery, inter-service communication, and data management techniques.
Implements event-driven architecture, detailing event sourcing, message brokers, and consumer strategies for handling events efficiently.
Guides the implementation of hexagonal (ports and adapters) architecture, focusing on best practices for decoupling business logic from external concerns.
Implements strategies for designing, developing, and deploying microservices architecture. Offers guidance on best practices, patterns, and anti-patterns for microservices.
Guides the design and implementation of monolithic architecture, focusing on best practices and pitfalls in monolithic systems.