Extract API request/response schema from Korean Public Data Portal (data.go.kr) documentation pages and generate structured JSON representation

Context-efficient codebase exploration using AST analysis. Use when exploring Kosmos architecture, understanding code structure, or preparing documentation for AI programmers. Triggers: xray, map structure, skeleton, interface, architecture, explore kosmos, warm start, token budget, context compression.

Use when building Kotlin applications requiring coroutines, multiplatform development, or Android with Compose. Invoke for Flow API, KMP projects, Ktor servers, DSL design, sealed classes.

Kotlin testing with JUnit 5, MockK, Spring test slices, and Testcontainers. Provides mocking patterns, test slice selection, and TDD workflow for Spring Boot + Kotlin. Use when writing tests for Kotlin/Spring code, setting up test infrastructure, or debugging test failures.

Use a structured workflow with three interconnected documents (main specification, open issues, and log) to plan, track, and document complex implementations, ensuring clarity and continuity. Use when you detect the presence of LOG.md and OPEN_ISSUES_OVERVIEW.md files.

Identifies and cleans up outdated Kubernetes deployments based on namespace patterns and application version age. Discovers deployments, analyzes release dates from annotations, performs cleanup actions, and notifies stakeholders.

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.

Use when deploying or managing Kubernetes workloads requiring cluster configuration, security hardening, or troubleshooting. Invoke for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization.

Troubleshoot and manage Kubernetes clusters, including resource inspection, debugging, pod logs, events, and cluster operations. Use when the user needs to diagnose issues, inspect workloads, analyze pod failures, or perform Kubernetes cluster operations.

Kumo development assistant for MySQL database management tool. Use when working on Kumo features, understanding architecture, writing tests, or navigating the codebase. Helps with React components, API endpoints, database features, and Electron app development.

Use when generating ConfigMaps and Secrets with Kustomize for Kubernetes configuration management.

Kubernetes native configuration management with Kustomize. Use for environment-specific configs, resource patching, manifest organization, multi-environment deployments, and GitOps workflows. Triggers: kustomize, kustomization, overlay, base, patch, strategic merge, json patch, json6902, configmap generator, secret generator, namespace, namePrefix, nameSuffix, commonLabels, commonAnnotations, component, transformer, replacement, multi-environment, dev/staging/prod configs, k8s manifest management.

This skill should be used when generating detailed experimental procedures from LA-Bench format JSONL files. It orchestrates multiple subagents to parse input data, fetch reference materials, generate procedures, validate outputs, refine results, and produce final formatted outputs. Triggered by requests to process LA-Bench data or generate experimental protocols from data/public_test.jsonl or data/private_test_input.jsonl files.

Orchestrate the complete LA-Bench experimental procedure generation workflow from JSONL input to validated output. This skill should be used when processing LA-Bench format experimental data to generate and validate detailed experimental procedures. It coordinates parsing, reference fetching, procedure generation, and quality validation with 10-point scoring.

Monitor protocol-wide KPIs, identify TVL trends, generate executive summaries, and flag at-risk vaults for the internal operations team. Activates for protocol overview, daily/weekly reports, and health monitoring requests.

Use lancer CLI for LanceDB semantic and multi-modal search with document ingestion, vector embeddings, and MCP server integration for knowledge retrieval.

This skill provides a clean session-ending protocol for software development work. "Landing the plane" ensures that when a coding session ends, all work is properly committed, tested, tracked in the i

Senior landing page designer specializing in high-converting pages for SaaS, apps, and services. Use when building landing pages, hero sections, pricing pages, or any conversion-focused marketing page. Always researches current best practices via Perplexity before designing. Includes AI slop detection and cleaning.

Comprehensive guide for creating effective landing pages using Next.js or React. This skill should be used when users request to create landing pages, marketing pages, or product pages that require the 11 essential elements for high-converting landing pages. Specifically designed for Next.js 14+ App Router with ShadCN UI components.

Foundational C programming patterns covering type system, memory management, pointers, arrays, preprocessor, compilation, concurrency (pthreads, mutexes, atomics), serialization (binary, JSON, struct packing), and testing (Unity, CMocka, Check). Complete 8/8 pillar coverage. Use when writing C code, understanding manual memory management, working with system-level programming, or needing guidance on which specialized C skill to use. This is the entry point for C development.

Foundational Clojure patterns covering functional programming, REPL-driven development, immutable data structures, and idiomatic code. Use when writing Clojure code, working with sequences and lazy evaluation, understanding macros, or needing guidance on functional programming patterns. This is the entry point for Clojure development.

Foundational C++ patterns covering core syntax, classes, templates, RAII, move semantics, and modern C++ features (C++11/14/17/20). Use when writing C++ code, understanding the type system, memory management, or needing guidance on which specialized C++ skill to use. This is the entry point for C++ development.

Foundational Cypher (Neo4j) patterns covering graph pattern matching, MATCH/CREATE/MERGE/DELETE operations, relationships, path patterns, aggregation, filtering, and common graph query patterns. Use when writing Cypher queries, modeling graph data, or needing guidance on graph database operations. This is the entry point for Cypher development.

Foundational Elixir patterns covering modules, pattern matching, processes, OTP behaviors (GenServer, Supervisor), Phoenix framework basics, and functional programming idioms. Use when writing Elixir code, building concurrent systems, working with Phoenix, or needing guidance on Elixir development patterns. This is the entry point for Elixir development.

Foundational Erlang patterns covering OTP behaviors, fault-tolerant systems, distributed computing, pattern matching, processes, and supervision trees. Use when writing Erlang code, building concurrent systems, working with OTP frameworks, or developing distributed fault-tolerant applications. This is the entry point for Erlang development.

Foundational Go patterns covering types, interfaces, goroutines, channels, and common idioms. Use when writing Go code, understanding Go's concurrency model, or needing guidance on which specialized Go skill to use. This is the entry point for Go development.

Go 1.23+ development specialist covering Chi, GORM, and concurrent programming patterns. Use when building high-performance microservices, CLI tools, or cloud-native applications.

Foundational Java patterns covering core syntax, object-oriented programming, generics, collections, streams, lambdas, and modern Java features. Use when writing Java code, understanding the type system, working with collections/streams, or needing guidance on which specialized Java skill to use. This is the entry point for Java development.

Kotlin-specific library development patterns. Use when creating Kotlin libraries, designing idiomatic Kotlin APIs with extension functions and DSLs, configuring Gradle Kotlin DSL (build.gradle.kts), managing multiplatform projects, testing with Kotest/JUnit, writing KDoc documentation, or publishing to Maven Central. Extends meta-library-dev with Kotlin tooling and ecosystem practices.

Foundational Objective-C patterns covering classes, protocols, categories, memory management (ARC/retain-release), blocks, GCD, and Foundation framework. Use when writing Objective-C code, working with Cocoa/Cocoa Touch APIs, bridging to Swift, or needing guidance on Apple platform development patterns. This is the entry point for Objective-C development.

Foundational Python patterns covering core syntax, idioms, type hints, testing, and modern tooling. Use when writing Python code, understanding Pythonic patterns, working with type hints, or needing guidance on which specialized Python skill to use. This is the entry point for Python development.

Foundational Roc patterns covering platform/application architecture, records, tags, pattern matching, abilities, and functional idioms. Use when writing Roc code, understanding the platform model, or needing guidance on which specialized Roc skill to use. This is the entry point for Roc development.

Foundational Rust patterns covering core syntax, traits, generics, lifetimes, and common idioms. Use when writing Rust code, understanding ownership basics, working with Option/Result, or needing guidance on which specialized Rust skill to use. This is the entry point for Rust development.

Foundational Scala patterns covering immutability, pattern matching, traits, case classes, for-comprehensions, and functional programming. Use when writing Scala code, understanding the type system, or needing guidance on which specialized Scala skill to use. This is the entry point for Scala development.

Scala-specific library development patterns. Use when creating Scala libraries, designing public APIs with immutability, configuring sbt/Mill build tools, managing cross-Scala version builds, publishing to Maven Central, and writing ScalaDoc. Extends lang-scala-dev with library-specific tooling and patterns.

Foundational SQL patterns for query writing, schema design, and dialect differences. Use when writing SQL queries, designing database schemas, understanding SQL syntax across PostgreSQL/MySQL/SQLite, or preparing SQL for conversion to other query languages. This is a meta-skill for SQL derivatives.

LangChain skill for building LLM orchestration, agents, RAG pipelines, tools, memory, callbacks, and deployment.

Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.

Replaces Phoenix observability with Langfuse Cloud (EU) traceability for pharmaceutical test generation. Adds @observe decorators to existing code, configures LlamaIndex callbacks, propagates GAMP-5 compliance attributes, and removes Phoenix dependencies. Use PROACTIVELY when implementing Task 2.3 (LangFuse setup), migrating observability systems, or ensuring ALCOA+ trace attribution. MUST BE USED for pharmaceutical compliance monitoring requiring persistent cloud storage.

Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to actual code implementation. Also use for designing agent workflows or learning LangGraph patterns. This is a comprehensive guide for building AI agents with LangGraph, covering core concepts, architecture patterns, memory management, tool integration, and advanced features.

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Guidelines and workflow for working on Laravel 11 or Laravel 12 applications across common stacks (API-only or full-stack), including optional Docker Compose/Sail, Inertia + React, Livewire, Vue, Blade, Tailwind v4, Fortify, Wayfinder, PHPUnit, Pint, and Laravel Boost MCP tools. Use when implementing features, fixing bugs, or making UI/backend changes while following project-specific instructions (AGENTS.md, docs/).

Expert guidance for building Laravel 12 applications following best practices, modern conventions, and the streamlined Laravel 12 architecture. Use this skill when creating Laravel projects, working with Eloquent models, building APIs, implementing authentication, writing tests, or any Laravel development task.

Use when implementing user authentication, API tokens, social login, or authorization. Covers Sanctum, Passport, Socialite, Fortify, policies, and gates for Laravel 12.

Integrate Stripe and Paddle payments with Laravel Cashier. Use when implementing subscriptions, invoices, payment methods, webhooks, or billing portals.

Create Blade templates with components, slots, layouts, and directives. Use when building views, reusable components, or templating.

Laravel Cashier (Stripe) - Subscription billing and payment processing

Data Transfer Objects using Spatie Laravel Data. Use when handling data transfer, API requests/responses, or when user mentions DTOs, data objects, Spatie Data, formatters, transformers, or structured data handling.

Laravel Dusk - Browser automation and testing API for Laravel applications. Use when writing browser tests, automating UI testing, testing JavaScript interactions, or implementing end-to-end tests in Laravel.