AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Performs transcription factor footprinting and differential binding detection on ATAC-seq data using the TOBIAS framework.
Identifies and calls chromatin loops from Hi-C data files in .mcool, .cool, or .hic formats for genomic visualization and analysis.
Assesses, analyzes, and improves the quality, performance, and compliance of other Claude Code Skills.
Provides reusable patterns and templates for developing consistent Claude Code skills and hooks.
Facilitates the creation and optimization of specialized capabilities for Claude Code through standardized architecture and development workflows.
Automates story point estimation for JIRA tickets by analyzing technical complexity and benchmarking against historical team data.
Orchestrates the development of the Quest Keeper AI ecosystem by coordinating the Tauri frontend, RPG-MCP backend, and project documentation.
Validates JIRA tickets against team standards to ensure they are well-defined and ready for development.
Accesses and interprets the official HyperFleet architecture documentation to provide authoritative guidance on design patterns, versioning, and system principles.
Opens and previews local files using the operating system's native default applications for seamless document and asset viewing.
Converts project specifications into structured implementation plans and actionable task databases within Notion.
Guides the creation, review, and optimization of specialized Claude Code skills through best practices, design patterns, and efficient resource management.
Automatically classifies repository files into commands, agents, skills, and documentation using structure and content analysis.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.
Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.
Simplifies cross-platform file system operations and path manipulations for Clojure and Babashka environments.
Automates GitHub Actions workflows and CI/CD pipelines using AI swarm coordination for intelligent, self-organizing repository management.
Orchestrates end-to-end product management tasks including specification writing, research synthesis, and roadmap prioritization.
Extracts key findings, decisions, and technical lessons from divergent Git branches by analyzing iteration journals.
Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.
Applies fundamental visual design laws and Gestalt psychology to create professional, intuitive, and balanced user interfaces.
Automates systematic data profiling and exploration across multiple SQL database dialects.
Compares two autonomy branches to evaluate divergent technical approaches, metrics, and experimental outcomes.
Provides instant npm package name suggestions and autocompletion using the NPMS.io API.
Establishes a structured framework for tracking and optimizing long-term, open-ended objectives within your project.
Provides a standardized framework and guidance for developing, optimizing, and deploying custom Claude Code Skills.
Automates pull request reviews using a multi-agent swarm to provide specialized feedback on security, performance, and code quality.
Implements and validates UI designs according to Apple's official Human Interface Guidelines across iOS, macOS, watchOS, and tvOS.
Parallelizes Claude sessions by forking the current conversation into a new tmux or screen window for experimental branching.
Safely removes specialized autonomy worktree directories while preserving git branches and commit history.
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