MCP server integration for Kafka operations with Claude Desktop and SpecWeave. Use when configuring Kafka MCP servers, connecting Claude to Kafka topics, or choosing between MCP…
Score 70/100
Kafka monitoring and observability expert for Prometheus, Grafana, and JMX metrics. Use when setting up Kafka monitoring, configuring alerting rules, or building performance…
Score 70/100
Kafka operations expert for deployment, monitoring, and tooling. Kubernetes (Strimzi, Confluent), Terraform IaC, Prometheus/Grafana observability, and CLI tools (kcat, kafkactl).
Score 70/100
Patterns Apache Kafka — topics, partitions, consumer groups, exactly-once semantics et Kafka Streams.
Score 70/100
Kafka Producer Consumer - Auto-activating skill for Backend Development. Triggers on: kafka producer consumer, kafka producer consumer Part of the Backend Development skill…
Score 70/100
Implement type-safe Kafka producers for event streaming with msgspec serialization. Use when building async/await producers that publish domain events (orders, transactions, etc.)…
Score 70/100
Design and manage Kafka message schemas with type safety and schema evolution. Use when defining event schemas, creating schema validators, managing versions, and generating…
Score 70/100
Extracts and transforms Avro/Protobuf schemas from Confluent Schema Registry using the REST API. Generates TypeScript interfaces, JSON Schema, and data contract documentation from…
Score 70/100
Validates Avro, Protobuf, and JSON Schema compatibility against Confluent Schema Registry using the REST API.
Score 70/100
Set up Apache Kafka for event streaming - Strimzi for local Kubernetes, Redpanda Cloud for production. Use when configuring event-driven messaging for Phase 5. (project)
Score 70/100
Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment
Score 70/100
Kafka Stream Processor - Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category.
Score 70/100
Comprehensive guide to Apache Kafka for real-time data streaming including topics, producers, consumers, stream processing, and production best practices
Score 70/100
Kafka Streams topology design expert. Covers KStream vs KTable vs GlobalKTable, topology patterns, stream operations (filter, map, flatMap, branch), joins, windowing strategies,…
Score 70/100
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation.
Score 70/100
Deploy containerized web applications to any Linux server using Kamal. Use when users need to deploy, configure, debug, or manage Kamal deployments including initial setup,…
Score 70/100
Kamal is an open-source deployment tool by Basecamp that deploys containerized web applications anywhere — from bare metal to cloud VMs — with zero downtime using Docker and SSH.
Score 70/100
Rust formal verification using Kani model checker. Use when verifying Rust code for memory safety, undefined behavior, panics, arithmetic overflows, or custom correctness…
Score 70/100
Generates Karma test runner configurations for browser-based JavaScript testing. Works with Jasmine, Mocha, or QUnit.
Score 70/100
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions,…
Score 70/100
Guidelines to improve coding style and avoid common pitfalls. Use when writing, reviewing, or refactoring any kind of code.
Score 70/100
Kubernetes node autoscaling and cost optimization with Karpenter. Use when implementing node provisioning, spot instance management, cluster right-sizing, node consolidation, or…
Score 70/100
Use when listing KB entries, documenting codebase topics, or before exploring unfamiliar parts of the codebase.
Score 70/100
Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis.
Score 70/100
Guide for developing KDE Plasma widgets (Plasmoids) with Python backend and QML UI, including metadata configuration, installation, and KDE Store distribution.
Score 70/100
Expert assistant for Keboola data platform. Builds working data pipelines, not just advice. Use for: data extraction, transformation, validation, orchestration, dashboard creation.
Score 70/100
Author, debug, and operate Kelos resources (Task, Workspace, AgentConfig, TaskSpawner) on Kubernetes. Use when working with Kelos CRDs or the kelos CLI.
Score 70/100
Kessoku compile-time DI with parallel initialization for Go. Use when writing or debugging kessoku providers/injectors, enabling async dependencies, migrating from google/wire, or…
Score 70/100
Use when the user asks to invoke, delegate to, or collaborate with Codex on any task. Also use PROACTIVELY when an independent, non-Claude perspective from Codex would add value —…
Score 70/100
KeyBERT is a minimal and easy-to-use Python library that leverages BERT embeddings and cosine similarity to extract keywords and keyphrases from documents.
Score 70/100
Builds content APIs with KeystoneJS, the Node.js headless CMS with GraphQL. Use when creating admin UIs and APIs with automatic CRUD operations, relationships, access control, and…
Score 70/100
KeystoneJS is a powerful open-source headless CMS for Node.js that auto-generates a GraphQL API and React-based Admin UI from your schema definition.
Score 70/100
Azure Key Vault + CSI Driver integration for Kubernetes secrets management. Use when creating SecretProviderClass resources, mounting secrets from Key Vault, troubleshooting 403…
Score 70/100
Use when users need help with kube-hetzner configuration, debugging, or questions - acts as an intelligent assistant with live repo access
Score 70/100
Generate professional engineering documentation from KiCad projects — Hardware Design Descriptions (HDD), CE Technical Files, Interface Control Documents (ICD), Design Review…
Score 70/100
Use this agent when you need to review Rails code changes with an extremely high quality bar. Applies Kieran's strict Rails conventions and taste preferences.
Score 70/100
Expert KillBill administrator for managing billing, subscriptions, invoices, and overdue states. Provides ready-to-use commands via Traefik DNS for tenant management, catalog…
Score 70/100
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
Score 70/100
Diagnoses Kirby rendering/runtime issues using MCP runtime rendering, dump traces, and template/snippet/controller indexes.
Score 70/100
Improves Kirby performance and media delivery (cache tuning, CDN, responsive images, lazy loading). Use when optimizing page speed, caching, or image handling.
Score 70/100
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification.
Score 70/100
Configure and control kitty terminal emulator using kitten commands, kitty.conf settings, remote control, and session automation.
Score 70/100
Table-driven testing patterns using @kitz/test. Triggers on creating test cases, parameterized tests, or when writing .test.ts files.
Score 70/100
Type assertion patterns using @kitz/assert. Triggers on type-level tests, .test-d.ts files, or when asserting TypeScript types.
Score 70/100
Configure CI/CD pipelines for Klaviyo integrations with GitHub Actions. Use when setting up automated testing, configuring CI secrets, or integrating Klaviyo SDK tests into your…
Score 70/100
Diagnose and fix common Klaviyo API errors and exceptions. Use when encountering Klaviyo 4xx/5xx errors, debugging failed requests, or troubleshooting SDK integration issues.
Score 70/100
Collect Klaviyo debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
Score 70/100
Deploy Klaviyo integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Klaviyo-powered applications to production, configuring platform-specific secrets, or…
Score 70/100
Create a minimal working Klaviyo example with real API calls. Use when starting a new Klaviyo integration, testing your setup, or learning basic profile creation and event…
Score 70/100
Configure Klaviyo local development with hot reload, mocking, and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast…
Score 70/100
Configure Klaviyo across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment API keys, or…
Score 70/100
Optimize Klaviyo API performance with caching, batching, and pagination tuning. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Score 70/100
Execute Klaviyo production deployment checklist and validation procedures. Use when deploying Klaviyo integrations to production, preparing for launch, or implementing go-live…
Score 70/100
Implement Klaviyo rate limiting, backoff, and request queuing patterns. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for Klaviyo.
Score 70/100
Implement Klaviyo reference architecture with best-practice project layout. Use when designing new Klaviyo integrations, reviewing project structure, or establishing architecture…
Score 70/100
Integrate Kling AI video generation into CI/CD pipelines. Use when automating video content in GitHub Actions or GitLab CI.
Score 70/100
Set up logging and debugging for Kling AI API integrations. Use when troubleshooting video generation or building observability.
Score 70/100
Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup.
Score 70/100
Track and monitor Kling AI video generation task status. Use when building dashboards, tracking batch jobs, or debugging stuck tasks.
Score 70/100
Production readiness checklist for Kling AI integrations. Use before going live or during deployment review.
Score 70/100