自動化安裝 Kubernetes 叢集的 AI Agent Skill

Apache Kafka architecture expert for cluster design, capacity planning, and high availability. Use when designing Kafka clusters, choosing partition strategies, or sizing brokers for production workloads.

Kubernetes deployment expert for Apache Kafka using Helm, Strimzi, and Confluent operators. Use when deploying Kafka on K8s, configuring StatefulSets, or choosing between Kafka operators for production.

Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment

Comprehensive guide to Apache Kafka for real-time data streaming including topics, producers, consumers, stream processing, and production best practices

kamailio-config

Kanban Agent role. USE WHEN user says /kanban-agent OR wants to work on assigned kanban tasks as an agent.

Manage Kapso workflows, AI agents, functions, and databases. Edit workflow graphs, configure triggers, manage executions, create functions, and perform database CRUD. Use when building automations, editing workflows, or managing project data.

Kubernetes node autoscaling and cost optimization with Karpenter. Use when implementing node provisioning, spot instance management, cluster right-sizing, node consolidation, or reducing compute costs. Covers NodePool configuration, EC2NodeClass setup, disruption budgets, spot/on-demand mix strategies, multi-architecture support, and capacity-type selection.

Create emotionally compelling murder mystery narratives using Danpyeonsun methodology and K-drama storytelling principles. Designs 3-act dramatic structures, complex morally-gray characters, bittersweet endings, and scene-by-scene emotional beats. Use when writing scenarios for detective games, designing murder mystery plots, or creating K-drama style narratives with moral complexity.

Structure stories around essential emotional moments using Rodriguez's approach integrated with elemental genres. Use when plotting feels mechanical, when emotional beats need defining, or when building stories from vivid scenes rather than plot outlines.

Use when implementing signup flow, login flow, team sharing, key derivation with Argon2, AES encryption operations, or RSA/ECC key management for KeyArc cryptographic workflows.

Use when implementing client-side encryption, master key derivation, vault key management, secret storage, or any cryptographic operation for KeyArc. Ensures server never sees plaintext secrets or passwords.

Creates and bootstraps Knowledge Graph projects from video transcripts. Extracts entities (people, organizations, concepts) and relationships into searchable graphs. Use when users want to build a knowledge graph, extract entities, analyze connections between people/organizations, or select Option 5 after transcription.

Helps users discover patterns and insights in their Knowledge Graphs.

Эксперт AWS Kinesis. Используй для stream processing, real-time data и Kinesis patterns.

Implements frontend forms and actions in Kirby (contact forms, file uploads, email with attachments, creating pages from frontend). Use when handling user input or building submission flows.

Exposes Kirby content to headless clients using the API, KQL, and JSON representations. Use when building API endpoints, KQL queries, or headless frontends.

Secures Kirby sites with access restriction, user roles, permissions, and protected downloads. Use when implementing login/role-based access, permissions, or file protection.

Simulates live updates between Knack backend and Vercel dashboards. Enables near-real-time synchronization of HTI operational data without constant...

Deploy AI agents as serverless workloads using Knative Serving, enabling automatic scale-to-zero and request-based autoscaling.

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

Build frameworks from scattered insights across all braindumps and notes

Designs and builds knowledge graphs to represent entities, relationships, and semantic connections, with query patterns for Neo4j, RDF, and property graphs.

Patterns for ingesting knowledge into vector databases and RAG systems

Extracts knowledge from Amp threads and updates project docs. Use when asked to document recent work, sync docs after an epic, summarize what changed, or update AGENTS.md from thread history.

Kolmogorov Codex Quest

Kommo CRM API via curl. Use this skill for managing leads, contacts, companies, tasks, and sales pipelines.

Use this Skill when working in the Connect monorepo and needing to extract app code into proper Nx libraries.

Implements event-driven architecture with Watermill pub/sub (RabbitMQ/AMQP/message queue) for go-kratos microservices. Creates publisher/subscriber wrappers, event handlers, worker services with context propagation (request_id, correlation_id), and RabbitMQ/AMQP integration. Use when implementing pub/sub patterns, creating message queues, adding event handlers, building worker services for async processing, or setting up background jobs.

Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns

Manage manifests, Helm charts, autoscaling, and disruption budgets.

Kubernetes deployment strategies and workload patterns for production-grade applications. Use when deploying to Kubernetes, implementing rollout strategies, or designing cloud-native application architectures.

Expert-level Kubernetes cluster management, deployment strategies, networking, and production operations

Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.

Deploy and manage Kubernetes applications with Helm charts. Covers K8s manifests, kubectl, Kustomize, RBAC, and container orchestration. Use for container deployments, microservices, and cloud-native applications.

Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations

Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails

kubesearch

Use when finding new AI agent skills, discovering capabilities, installing skills from GitHub, searching skill marketplaces, or expanding what Claude can do - like Neo downloading martial arts in The Matrix

L-Space Skill: The Library of All Libraries

L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration

Lambda Calculus Skill

Clerk for reserve reduction, trespass, survey errors, and railway takings; use when processing the Land_Reduction_Trespass queue.

Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.

Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

Complete guide for building agents and workflows in LangConfig. Use when users need help configuring nodes, connecting agents, setting up tools, or designing multi-agent systems within the LangConfig platform.

Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts metrics for monitoring, navigates trace details for investigation, and handles authentication. Use when documenting workflows, creating compliance screenshots, monitoring dashboard metrics, or investigating traces visually. MUST use Playwright MCP tools (mcp__playwright__*) for browser automation.

Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state schemas, reducers, node functions, edge types (normal, conditional), and graph compilation.