AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Optimizes application caching strategies by analyzing hit rates, TTL configurations, and key designs for improved system performance.
Automates the scanning and ingestion of feature documentation to build a comprehensive mental model for development.
Generates production-ready auto-scaling policies and configurations to optimize application performance and resource utilization.
Orchestrates autonomous software development workflows by managing tasks and system status within the Sugar environment.
Generates comprehensive security audit reports and compliance assessments to identify vulnerabilities and prioritize system remediation.
Provides comprehensive Python tools for astronomical data analysis, including celestial coordinates, physical units, and FITS file manipulation.
Standardizes repository workflows for AGILab development, environment management, and AI engineering application deployment.
Generates comprehensive environment setup guides by automatically analyzing repository structure and configuration files.
Integrates Google Gemini CLI to provide automated plan reviews, implementation checks, and research validation during coding tasks.
Audits UI code against industry-standard design principles and accessibility guidelines to ensure high-quality user experiences.
Transforms product requirements into professional UI/UX design solutions and detailed technical specifications.
Generates realistic, schema-compliant test data for software development, database population, and automated testing scenarios.
Generates production-ready database schemas, SQL scripts, and ER diagrams compatible with DrawDB.
Enforces a disciplined task management and time-tracking workflow by integrating Taskwarrior and Timewarrior into every Claude Code development cycle.
Analyzes project dependencies to identify security vulnerabilities, outdated packages, and license compliance issues across multiple package managers.
Analyzes database query patterns to recommend optimal indexing strategies for improved performance and storage efficiency.
Accesses the National Library of Medicine's PubMed database for advanced biomedical literature search and programmatic data retrieval.
Implements standardized error handling, HTTP status codes, and consistent response formats for production-grade APIs.
Automates the design and implementation of database table partitioning strategies to optimize performance and scalability.
Powers AI-driven drug discovery using PyTorch for molecular property prediction, protein modeling, and chemical retrosynthesis.
Transforms product requirements into production-ready technical architectures, technology stacks, and deployment strategies.
Facilitates high-quality, constructive code reviews to identify bugs and foster team knowledge sharing.
Architects resilient, cloud-agnostic systems across AWS, Azure, and GCP using a comprehensive service comparison and decision framework.
Automates the creation of distributable Python packages using modern standards and professional project structures.
Implements professional-grade Python testing suites using pytest, advanced mocking, and test-driven development best practices.
Creates and manages production-ready Grafana dashboards for real-time system and application observability.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Retrieves relevant past episodes and patterns from episodic memory to inform AI decision-making and task execution.
Configures Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.
Builds high-performance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search for grounded AI applications.
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