Design

Use when Python code runs slowly, needs profiling, requires async/await patterns, or needs concurrent execution - covers profiling tools, optimization patterns, and asyncio; measure before optimizing (plugin:python@dot-claude)

A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.

Domain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history, science, arts, and general. Use when researcher or writer agents need domain-adapted behavior.

Comprehensive test suite generation with edge case coverage using PAL MCP. Use for creating tests, improving coverage, or identifying untested paths. Triggers on test generation requests, coverage improvement, or testing strategy.

This skill provides guidance for implementing robust Qdrant vector database integration with RAG (Retrieval Augmented Generation) systems, including proper async client handling, error management, and performance optimization.

Expert guidance on typography, color theory, layout, UI/UX patterns, and converting design to CSS/Tailwind.

Generate Turborepo configuration files for monorepo build orchestration. Triggers on "create turbo config", "generate turborepo configuration", "turbo setup", "monorepo build config".

Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices for Anthropic models

Creates minimal working prototypes for quick idea validation. Single-file when possible, includes test data, ready to demo immediately. Use when user says "prototype", "MVP", "proof of concept", "quick demo".

Fetch the latest, docs-grounded API details and best practices for a library/framework using Context7 MCP tools `resolve-library-id` and `get-library-docs`. Use when a user asks for “最新用法/最新寫法/最佳實務/latest usage/current best practice/latest API” of a package, or asks how to implement a feature with a library and wants the newest docs-based guidance.

Translate code comments, documentation, and UI strings between multiple languages. Use when internationalizing applications or translating technical documentation.

Dokploy 셀프호스팅 PaaS 플랫폼의 전체 관리 스킬. SSH 및 API를 통한 서버 관리,애플리케이션 배포, Docker Compose/Swarm 관리, 데이터베이스(PostgreSQL, MySQL, MongoDB, Redis) 관리,Traefik 리버스 프록시 설정, SSL 인증서(Let's Encrypt, Cloudflare Origin CA), 도메인 설정,볼륨 백업/복원, 컨테이너 모니터링, 서버 문제 해결 및 디버깅을 지원합니다.이 스킬 사용 시점:(1) "Dokploy", "dokploy" 언급 시(2) 애플리케이션 배포/재배포 요청(3) Docker Compose 또는 Swarm 관련 작업(4) 도메인 설정, SSL 인증서, HTTPS 설정(5) Traefik 설정 확인/수정, 502 에러, 도메인 접속 문제(6) 데이터베이스 생성, 백업, 복원(7) 볼륨 백업/복원, S3 연동(8) 컨테이너 로그 확인, 서버 상태 점검(9) 서버 유지보수, Dokploy 업데이트(10) 빌드 타입 선택 (Nixpacks, Dockerfile, Buildpack)

Implement comprehensive input validation with server-side security, client-side UX feedback, sanitization, and consistent error messages. Use this skill when validating user input in forms, API endpoints, or data processing. When writing validation rules for data types, formats, ranges, or required fields. When sanitizing input to prevent injection attacks (SQL, XSS, command injection). When providing field-specific error messages to users. When implementing validation at system boundaries like API endpoints or background jobs.

Unified UI development combining Anthropic's frontend-design plugin (anti-AI-slop aesthetics) with CIPS mobile-responsive-ui (dvh units, touch targets, testing protocol). Produces distinctive, production-grade, responsive interfaces.

Diagnose and fix maturin build issues for PyO3 Python bindings. Use when encountering problems with maturin develop, missing Python exports, module registration errors, or type stub generation issues. Particularly useful when new PyO3 methods compile but don't appear in Python.

AI agent and chatbot patterns including personas, pipelines, and messaging integrations. Use when building conversational agents, creating AI personas, designing insight pipelines, or integrating with Slack/Kakao platforms.

System diagnostics using GASP (General AI Specialized Process monitor). Use when user asks about Linux system performance, requests system checks, mentions GASP, asks to diagnose hosts, or says things like "check my system" or "what's wrong with [hostname]". Can actively fetch GASP metrics from hosts via HTTP or interpret provided JSON output.

Load the full content of a previous Claude Code conversation into current context. Use when user asks to "load conversation <uuid>" or "show me conversation <uuid>" or references loading/viewing a past conversation by its ID.

セキュアな開発・運用のための実装指針、機密情報管理、通信の確保、入力値検証、依存ライブラリ管理のガイドラインを定義する。セキュリティ実装時、認証・認可実装時、API開発時、またはユーザーがセキュリティ、機密情報、暗号化、XSS対策、SQL injection、脆弱性管理に言及した際に使用する。

Dataclass patterns including frozen dataclasses, slots, immutability, and value objects. Activated when designing data classes or value types.