모든 Claude 스킬 탐색

AI Search Optimization (GEO)

Audits websites for Generative Engine Optimization to improve visibility and citations in AI search engines like ChatGPT, Perplexity, and Gemini.

Skill Development Template

Provides a minimal boilerplate and standardized skeleton for rapidly creating custom Claude Code skills.

Designing Tests

Streamlines the creation and optimization of comprehensive testing strategies across unit, integration, and E2E layers.

Classification Model Builder

Builds and evaluates robust supervised learning classification models with automated preprocessing and performance reporting.

SQL Optimization Patterns

Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data retrieval patterns.

CQRS Architecture Implementation

Implements Command Query Responsibility Segregation patterns to build scalable, high-performance backend systems with decoupled read and write models.

Airflow DAG Patterns

Builds production-ready Apache Airflow pipelines using industry-standard patterns for orchestration, error handling, and automated testing.

SLO Implementation & SRE Framework

Defines and implements measurable reliability targets using SLIs, SLOs, and error budgets to optimize service performance and innovation velocity.

Documentation Standards & Criteria

Establishes standardized criteria and templates for technical documentation including PRDs, ADRs, Design Docs, and Work Plans.

AI Subagent Workflow Orchestrator

Orchestrates complex multi-agent development workflows by coordinating specialized subagents through requirement analysis, architectural design, and autonomous implementation phases.

Integration & E2E Testing Architect

Standardizes integration and end-to-end test design using behavior-first principles and ROI-driven selection criteria.

AI SDK Multi-Agent Orchestrator

Orchestrates sophisticated multi-agent systems and intelligent task routing using the Vercel AI SDK v5.

Data Quality Frameworks

Implements robust data validation and quality checks using Great Expectations, dbt tests, and formalized data contracts to ensure reliable pipelines.

Code Simplifier

Reduces technical debt and improves maintainability by applying KISS principles to overly complex source code.

ML Model Evaluation Suite

Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and deployment readiness.

Vector Index Tuning

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory-to-recall trade-offs.

NCBI Gene Database

Queries the NCBI Gene database to retrieve comprehensive genetic information, including sequences, functional annotations, and biological pathways.

Learning Analyzer

Identifies performance trends and optimization opportunities by analyzing structured development data from your workflows.

Stripe Payment Integration

Implements secure, PCI-compliant Stripe payment processing for checkouts, subscriptions, and automated webhooks.

Database Migration & Schema Evolution

Manages complex database migrations, schema transformations, and zero-downtime deployment strategies across multiple ORMs.

GDPR Data Handling & Compliance

Implements GDPR-compliant data processing workflows, consent management systems, and privacy-by-design patterns for modern applications.

AI Discovery Expert

Optimizes web content and technical documentation for high visibility and citation in AI-powered search engines like Perplexity, ChatGPT, and Gemini.

Bash Defensive Patterns

Implements production-grade defensive Bash programming techniques to ensure shell script reliability, safety, and fault tolerance.

Unity ECS Patterns

Implements high-performance game logic using Unity's Data-Oriented Technology Stack (DOTS), Job System, and Burst Compiler.

Aura Frog Workflow Fast-Track

Accelerates the development lifecycle by automatically executing TDD phases and quality gates from pre-approved technical specifications.

TypeScript Frontend Testing

Implements standardized frontend testing workflows using Vitest, React Testing Library, and MSW to ensure high-quality TypeScript applications.

ML Dataset Splitter

Automates the partitioning of data into training, validation, and testing sets to streamline machine learning model development.

Dependency Upgrade Manager

Manages complex software dependency transitions through compatibility analysis, staged rollouts, and automated validation.

Angular Framework Migration

Guides the modernization of legacy AngularJS applications to modern Angular using hybrid strategies and incremental component rewriting.

Spark Optimization

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.