AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Solves complex technical problems through a multi-tiered reasoning system and integrated codebase intelligence.
Builds scalable GitLab CI/CD pipelines using multi-stage workflows, optimized caching strategies, and secure deployment patterns.
Orchestrates specialized Claude Code agent teams by automatically selecting optimal skills, generating dependency graphs, and managing the full multi-agent development lifecycle.
Validates business ideas and stress-tests assumptions through skeptical, realistic dialogue and structured documentation.
Transforms business ideas into lean, actionable MVP application briefs through ruthless scope-cutting and critical dialogue.
Exposes operational blind spots and stress-tests business workflows through challenging, skeptical dialogue.
Orchestrates specialized autonomous subagents to handle complex research, coding, and analysis tasks in parallel background workflows.
Corrects spelling and grammatical errors across multiple files while strictly preserving original formatting and technical structure.
Evaluates and scores Claude's previous response to identify weaknesses and generate higher-quality, refined versions of your answers.
Automates the generation and intelligent updating of project-specific CLAUDE.md files using advanced MCP reasoning.
Accelerates the creation of scalable backend systems with automated API scaffolding, database optimization, and comprehensive performance testing tools.
Generates museum-grade visual art and design documents based on custom-crafted aesthetic philosophies.
Streamlines the creation of full-stack dashboard features in the Orient monorepo by providing standardized patterns for services, API routes, and React components.
Optimizes Claude's memory management by suggesting manual context compaction at logical task boundaries instead of arbitrary intervals.
Implements comprehensive unit and E2E tests with automated execution and intelligent error-fixing capabilities.
Streamlines application development and complex problem-solving through token-efficient, structured thought patterns and memory-aware analysis.
Conducts deep technical analysis and generates structured research reports using advanced thinking modes and codebase-aware MCP integration.
Executes complex development plans using coordinated subagents to implement features from spec-driven task graphs.
Performs automated pull request analysis, security scanning, and quality checks across multiple programming languages including Python, TypeScript, and Go.
Generates and synchronizes feature-specific documentation while keeping the project README and cross-links up to date.
Provides expert guidance and a comprehensive reference for Shopify's Liquid templating language to build dynamic e-commerce themes.
Optimizes React and Next.js applications using high-performance engineering guidelines and implementation patterns from Vercel.
Extracts and organizes technical trading documentation and articles from mql5.com for research and training data collection.
Resolves TypeScript and build errors incrementally through automated error parsing, contextual analysis, and verification cycles.
Optimizes MongoDB data models using 30 high-impact rules to prevent performance bottlenecks and cost issues.
Optimizes React and Next.js application performance using Vercel Engineering's proven patterns and 57 core optimization rules.
Conducts deep technical research using real-world GitHub implementations and high-quality web documentation to provide evidence-based recommendations.
Provides a comprehensive template for standardizing full-stack project architecture, coding patterns, and deployment workflows.
Optimizes MongoDB performance by implementing expert indexing strategies, efficient query patterns, and high-performance aggregation pipelines.
Provides a comprehensive framework and command reference for executing and writing tests across the Orient AI agent platform monorepo.
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