AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Optimizes project-specific CLAUDE.md files to improve AI context efficiency and task accuracy following Anthropic's official guidelines.
Streamlines molecular machine learning workflows for drug discovery, property prediction, and materials science using graph neural networks.
Automates the process of splitting large code changes into logical, atomic commits using granular hunk-level staging.
Identifies whether a project utilizes the Jujutsu (jj) version control system to ensure the correct command-line tools are used during development.
Identifies and analyzes target audience segments to build data-driven Go-To-Market strategies.
Transforms academic papers from LaTeX or PDF into interactive websites, presentation videos, and professional conference posters.
Manages QCOW2 virtual machines using libvirt and cloud-init for isolated Bazzite AI development environments.
Converts academic research papers into interactive websites, professional presentation videos, and print-ready conference posters automatically.
Facilitates automated protein testing and validation through cloud-based laboratory services and sequence optimization tools.
Predicts 3D binding poses for protein-ligand complexes using state-of-the-art diffusion-based deep learning.
Performs autonomous gap analysis for technical selections and competitive audits to identify root causes and develop robust improvement strategies.
Automates post-pull request workflows by performing autonomous code cleanup, CI troubleshooting, and generating detailed reviewer explanations.
Processes and analyzes astronomical data using the Astropy library for coordinate transformations, cosmology, and FITS file management.
Manages, designs, and optimizes MongoDB and PostgreSQL databases through schema modeling, query generation, and performance tuning.
Audits and optimizes Deno and TypeScript packages for high-quality scores and seamless publishing on the JavaScript Registry (JSR).
Analyzes codebase health across structural integrity, security vulnerabilities, performance bottlenecks, and code stability metrics.
Executes and troubleshoots comprehensive test suites for DBHub, specializing in database integration tests and Testcontainers orchestration.
Integrates Pinecone's managed vector database into your AI workflows to enable high-performance RAG, semantic search, and recommendation systems.
Manages and prunes Git worktrees and branches used by parallel Claude Code workers to maintain repository hygiene.
Facilitates professional-grade astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Processes digital pathology whole slide images (WSI) for tissue detection, tile extraction, and deep learning dataset preparation.
Performs advanced molecular manipulation, chemical property calculation, and 3D coordinate generation for cheminformatics workflows.
Spawns autonomous Claude instances in isolated git worktrees to execute development tasks in parallel without interrupting your current workflow.
Manages parallel Claude Code instances using Git worktrees to streamline multi-tasking and branch management.
Streamlines the implementation and optimization of Pinecone vector databases for production-grade RAG and semantic search applications.
Simplifies the development and deployment of machine learning models for clinical data and healthcare applications.
Launches a terminal user interface (TUI) to monitor parallel Claude Code worker progress and status in real-time.
Predicts 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models for structure-based drug design.
Streamlines renewal negotiations by managing pricing guardrails, approval workflows, and contract documentation.
Automates the resolution of GitHub issues by spawning autonomous Claude workers in dedicated git worktrees.
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