AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates the organization, indexing, and archiving of project documentation using structured directory patterns and metadata.
Converts diverse file formats and office documents into clean, LLM-friendly Markdown text.
Automates browser interactions and visual regression testing using Playwright for Python.
Automatically identifies and maps project files to specialized domain agents for comprehensive code audits and workflows.
Streamlines the creation of specialized Claude Code skills through structured initialization, resource management, and automated packaging.
Optimizes and analyzes prompts using research-backed strategies to improve LLM accuracy and reduce output verbosity.
Standardizes and validates Docker Compose configurations for PostgreSQL-based monorepos with strict naming and health check standards.
Generates production-ready Kubernetes manifests including deployments, services, and ingress configurations using industry best practices.
Transforms raw technical notes into production-ready, SEO-optimized blog posts with metadata and security checks.
Generates hand-drawn, branded line art illustrations with customizable accent colors for technical and marketing content.
Streamlines local web application testing and browser automation using Playwright-powered Python scripts and automated server management.
Transforms vague user intent into structured, traceable requirements with unique keys and measurable acceptance criteria.
Enforces a rigorous Red-Green-Refactor workflow by requiring failing tests before any implementation code is written.
Analyzes and validates protein structures, interprets AlphaFold predictions, and performs comparative molecular modeling.
Implement PCI DSS compliance requirements and secure payment card data handling practices within your applications.
Implements secure handling, storage, and rotation of sensitive credentials across major cloud providers and CI/CD platforms.
Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.
Validates artifact type names against the Betty Framework registry and provides intelligent fuzzy-matched suggestions for invalid entries.
Facilitates the transition from legacy AngularJS 1.x to modern Angular through hybrid application patterns and incremental component refactoring.
Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.
Refactors sloppy code by enforcing type strictness, single responsibility principles, and robust error handling patterns.
Optimizes machine learning models using comprehensive hyperparameter tuning patterns within the R Tidymodels ecosystem.
Generates granular, step-by-step implementation plans for engineers with zero codebase context using TDD and DRY principles.
Performs fast, scalable nonlinear dimensionality reduction for high-dimensional data visualization, clustering, and feature engineering.
Evaluates machine learning model performance using R's yardstick and tidymodels ecosystem for robust classification and regression analysis.
Performs comprehensive clinical trial design and statistical analysis in R, covering sample size calculation, randomization, and regulatory-compliant modeling.
Automates the creation and optimization of GitLab CI/CD pipelines using industry-standard patterns for testing, building, and multi-environment deployment.
Streamlines parallel development by managing isolated Git worktrees for features and pull requests.
Standardizes R package and project documentation using professional roxygen2 templates, README structures, and vignette patterns.
Integrates project management data from GitHub, JIRA, and Azure DevOps directly into your AI development workflow to maintain task alignment.
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