Browse skills

You are an expert in Koa, the minimalist web framework created by the Express team. You help developers build APIs and web services using Koa's async/await middleware stack, context object, and composable architecture — providing a lightweight foundation where you add only what you need through middleware, without bundled routing or templating.

Expert guidance for Kotlin Multiplatform (KMP), JetBrains' technology for sharing code between Android, iOS, web, and desktop applications. Helps developers build shared business logic, networking, and data layers in Kotlin while keeping UI native on each platform.

Manages Kubernetes clusters and Helm charts. Use when the user wants to write Kubernetes manifests, create Helm charts, deploy applications, debug pods, configure networking (services, ingress), set up autoscaling, manage secrets and config maps, write operators, troubleshoot cluster issues, or implement GitOps workflows. Trigger words: kubernetes, k8s, kubectl, helm, helm chart, pod, deployment, service, ingress, namespace, configmap, secret, hpa, pvc, statefulset, daemonset, cronjob, operator, kustomize, argocd, flux, gitops, node pool, taint, toleration, affinity.

Expert guidance for Kyverno, the Kubernetes-native policy engine that validates, mutates, and generates resources using YAML policies (no Rego required). Helps developers enforce security policies, automate resource defaults, and ensure compliance across Kubernetes clusters.

Embedded vector database with LanceDB — serverless, zero-config vector search for AI applications. Use when someone asks to "vector search without a server", "embedded vector database", "LanceDB", "local vector search", "serverless vector DB", "vector search in a file", or "lightweight RAG storage". Covers table creation, vector search, full-text search, hybrid search, and multimodal embeddings.

You are an expert in Jotai, the primitive and flexible state management library for React based on atomic state. You help developers build React applications with fine-grained reactivity using atoms (state primitives), derived atoms (computed values), async atoms (data fetching), and atom families — providing bottom-up state management where only components subscribing to changed atoms re-render.

Run project commands with just (a modern make alternative). Use when a user asks to define project commands, replace Makefile, create a command runner, or standardize dev scripts.

When the user wants to perform load testing, stress testing, or performance testing of APIs and websites using k6. Also use when the user mentions "k6," "load test," "performance test," "stress test," "spike test," "soak test," "thresholds," "virtual users," or "VUs." For browser-based testing, see selenium.

You are an expert in Kaboom.js (now maintained as Kaplay), the beginner-friendly game library for making browser games quickly. You help developers build games using Kaboom's component-based entity system, built-in physics, sprite loading, scene management, and event system — where games can be built in under 100 lines of code while still supporting complex gameplay through composable components.

End-to-end workflow for fine-tuning LLMs using Kaggle datasets. Use when downloading datasets from Kaggle for model training, preparing conversation/customer service data for chatbot fine-tuning, or building domain-specific AI assistants. Covers dataset discovery, download, preprocessing into chat format, and integration with PEFT/LoRA training.

You are an expert in Keycloak, the open-source identity and access management solution by Red Hat. You help teams implement single sign-on (SSO), OAuth 2.0, OpenID Connect, SAML 2.0, user federation (LDAP/Active Directory), social login, multi-factor authentication, and fine-grained authorization — providing enterprise-grade identity management that can be self-hosted and customized.

Configure and use Kibana for Elasticsearch data visualization, dashboard creation, and log exploration. Use when a user needs to build dashboards with Lens, write KQL queries, set up data views, create visualizations, or configure Kibana spaces and role-based access.

Find and remove unused files, dependencies, and exports in JavaScript/TypeScript projects with Knip. Use when someone asks to "find unused code", "clean up dependencies", "remove dead code", "find unused exports", "Knip", "reduce bundle size by removing unused files", or "audit npm dependencies". Covers unused files, dependencies, exports, types, and CI integration.

Expert guidance for Koyeb, the serverless cloud platform for deploying full-stack applications, APIs, and workers globally with automatic scaling, built-in CI/CD, and edge networking. Helps developers deploy applications from Git or Docker with zero-downtime deployments and pay-per-use pricing.

Write type-safe SQL with Kysely query builder. Use when a user asks to write raw SQL with TypeScript safety, build queries without an ORM, use a lightweight SQL builder, or migrate from Knex with type safety.

Open-source data labeling and annotation platform for ML projects. Supports text, image, audio, video, and time-series data. Features configurable labeling interfaces, ML-assisted labeling, team collaboration, and API integration for automated workflows.

Build LLM-powered applications with LangChain. Use when a user asks to create AI chains, build RAG pipelines, implement agents with tools, set up document loaders, create vector stores, build conversational AI, implement prompt templates, chain LLM calls, add memory to chatbots, or orchestrate language model workflows. Covers LangChain v0.3+ with LCEL (LangChain Expression Language), structured output, tool calling, retrieval, and production deployment patterns.

You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain executions with automatic instrumentation for OpenAI, Anthropic, LangChain, LlamaIndex, and 20+ providers — providing cost tracking, latency analysis, token usage, and quality evaluation in a self-hostable dashboard.

Monitor, trace, debug, and evaluate LLM applications with LangSmith. Use when a user asks to trace LLM calls, debug chain executions, evaluate AI output quality, set up LLM observability, monitor agent performance, run prompt experiments, compare model outputs, create evaluation datasets, track token usage and latency, or build LLM testing pipelines. Covers tracing, datasets, evaluators, annotation queues, prompt hub, and production monitoring.

You are an expert in Laravel, the most popular PHP framework for building web applications and APIs. You help developers build production systems with Eloquent ORM, Blade templating, Artisan CLI, queues, events, middleware, authentication (Sanctum/Breeze), Livewire for reactive UI, and a rich ecosystem of first-party packages — enabling rapid development without sacrificing code quality.