AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Transforms vague requirements into actionable technical designs through structured exploration and trade-off analysis.
Converts math homework PDFs and screenshots into precise, character-perfect LaTeX code using automated transcription and verification.
Configures the SourceMonitor engine using a comprehensive Domain Specific Language (DSL) for data fetching, scraping, and retention.
Automates the initialization and configuration of your project environment to optimize AI-assisted development with Claude Code.
Implements secure token-based authentication and route guards for TanStack Router and TanStack Start client-side applications.
Automates pre-ship branch validation and completion workflows including merging, PR creation, and workspace cleanup.
Optimizes website load times and Core Web Vitals through asset minification, critical path analysis, and efficient resource delivery.
Decomposes complex codebase questions into parallel sub-agent tasks to generate cited research reports.
Implements production-grade UI animations and interactive motion effects using the Framer Motion library for React.
Implements domain-driven unit testing patterns for .NET using NUnit and EF Core InMemory databases to validate complex business logic.
Evaluates code review feedback against objective programming principles to help developers determine whether to accept, reject, or negotiate suggestions.
Streamlines the resolution of code review findings by analyzing git diffs and applying tiered fixes with minimal overhead.
Orchestrates a specialized team of AI agents to enforce architectural standards, security gates, and development workflows for the GoGoJap ecosystem.
Automates the creation of git-flow feature branches including state validation, branch switching, and standardized naming.
Generates structured API integration documentation from backend codebases designed specifically for consumption by frontend AI agents.
Initiates the HEAD analytic framework by refining raw problem statements into three distinct, actionable analytical perspectives.
Implements a robust data persistence layer using Entity Framework Core and Hexagonal Architecture for .NET applications.
Conducts systematic repository investigations and generates detailed technical documentation including UML diagrams and architecture reports.
Integrates the Serena Model Context Protocol into any software project to enable advanced semantic code navigation and symbol-aware editing.
Implements responsive, accessible, and theme-aware UI patterns following strict mobile-first design standards.
Analyzes your codebase to identify technical debt, including dead code, structural duplication, and stale documentation.
Conducts systematic root cause investigations using evidence gathering and hypothesis-based testing to resolve complex software errors.
Enforces a strict Red-Green-Refactor development workflow to ensure high test coverage and clean code architecture.
Enforces Test-Driven Development and systematic planning through interactive MCQs and persistent project state tracking.
Performs comprehensive infrastructure-as-code reviews covering CI/CD pipelines, database migrations, and cloud observability.
Manages a personalized roster of expert AI personas to provide domain-specific advice and decision-making feedback.
Validates software changes through automated test execution, acceptance criteria verification, and regression detection to ensure high-quality code delivery.
Establishes a standardized evaluation framework for AI agents to measure performance and prevent quality regressions.
Generates type-safe Pydantic Settings configurations with YAML support for robust Python application management.
Optimizes codebases by safely removing dead code, consolidating duplicates, and archiving stale files with mandatory verification gates.
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