AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Administers the Harness platform, including delegates, RBAC, connectors, secrets, and governance policies.
Queries your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed documentation answers.
Enforces a rigorous, evidence-based root cause analysis process before attempting any code fixes or patches.
Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData framework.
Provides a comprehensive suite of 100+ molecular featurizers for converting chemical structures into machine learning-ready numerical representations.
Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and sophisticated semantic search patterns.
Integrates Model Context Protocol (MCP) servers into Claude Code plugins to provide structured access to external tools and services.
Automates the creation, analysis, and scaffolding of comprehensive test suites for modern web and mobile applications.
Generates interactive, publication-quality scientific and statistical charts using Plotly Express and Graph Objects.
Processes whole slide images (WSI) for digital pathology by automating tissue detection and tile extraction for machine learning pipelines.
Automates protein testing and validation by connecting computational designs to cloud-based laboratory experiments and optimization tools.
Manipulates, analyzes, and visualizes phylogenetic trees with advanced support for evolutionary event detection and NCBI taxonomy integration.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using the Python statsmodels library.
Builds low-latency, production-grade voice applications using real-time APIs, advanced synthesis, and streaming transcription services.
Implements advanced prompt design techniques to maximize LLM performance, reliability, and token efficiency across all interactions.
Implements robust saga patterns for managing distributed transactions and long-running business processes across microservices.
Processes and analyzes high-throughput sequencing data (NGS) to generate publication-quality visualizations and quality control metrics.
Architects resilient, production-ready automation workflows by evaluating tech stacks and choosing between visual low-code and custom code solutions.
Automates Keycloak OIDC integration with Harness pipelines and Amazon EKS infrastructure using realm-as-code patterns.
Simplifies molecular cheminformatics workflows by providing a Pythonic wrapper around RDKit with sensible defaults and parallel processing.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Analyzes and processes physiological signals including ECG, EEG, and EDA using the comprehensive NeuroKit2 Python library.
Automates laboratory workflows and hardware control through a unified, hardware-agnostic Python interface.
Facilitates molecular machine learning and drug discovery workflows using the DeepChem toolkit.
Manages comprehensive quality document control and regulatory compliance for medical device organizations using systematic change management and configuration control.
Ensures project integrity through a comprehensive five-gate pipeline covering linting, types, tests, security, and browser audits.
Deploys applications to AWS EKS via Harness CD using Native Helm, Kubernetes manifests, and advanced GitOps strategies.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
Provides comprehensive guidance for video and audio encoding, conversion, and complex multimedia processing workflows.
Performs robust differential gene expression analysis for bulk RNA-seq data using the Python implementation of DESeq2.
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