AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates the generation of production-ready load balancer configurations for cloud providers and on-premise servers.
Develops, tests, and deploys clinical machine learning models using electronic health records and physiological data.
Facilitates structured multi-perspective deliberations using a panel of AI archetypes to provide diverse insights on complex decisions.
Identifies high-opportunity Amazon keyword gaps by comparing brand performance against competitors and category benchmarks using SimilarWeb data.
Accesses comprehensive pharmacogenomics data, clinical guidelines, and gene-drug interactions for precision medicine applications.
Streamlines the creation and configuration of production-grade AI agents using the Google Agent Development Kit (ADK) and Vertex AI.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Searches and retrieves Lucidchart and Lucidspark documents directly within the Claude interface using keyword-based queries.
Accesses and analyzes global public statistical data from the Data Commons knowledge graph directly within your AI workflow.
Implements robust multi-agent systems using coordinator patterns, specialized sub-agents, and deterministic workflows.
Queries NCBI ClinVar for genetic variant clinical significance and provides tools for pathogenicity interpretation and genomic data annotation.
Processes and analyzes high-throughput sequencing data including BAM, VCF, and FASTA files using the htslib Python interface.
Access and analyze transcription factor binding profiles from the JASPAR database to predict binding sites and interpret regulatory variants.
Performs advanced astronomical data analysis and astrophysical calculations using the core Astropy library.
Automates the end-to-end workflow of committing changes, pushing bookmarks, and creating GitHub pull requests using the Jujutsu VCS.
Shares Lucidchart and Lucidspark documents with team members or external collaborators through links and direct email access.
Automates the process of committing changes, pushing bookmarks, and opening GitHub pull requests using the Jujutsu version control system.
Integrates microscopy data management via the OMERO Python API for advanced image analysis and scientific workflow automation.
Generates interactive, SimilarWeb-branded HTML dashboards and visual reports for Amazon marketplace intelligence data.
Monitors and analyzes Amazon brand-level performance metrics, sales trends, and search share of voice using SimilarWeb Shopper Intelligence.
Equips AI agents with the specialized knowledge and command patterns required to manage Jujutsu (jj) version control repositories efficiently.
Accesses UniProt's comprehensive protein sequence and functional information via REST API for bioinformatic analysis and data retrieval.
Automates the creation and management of isolated Jujutsu workspaces for efficient parallel feature development.
Applies the SECI-GRAI framework to guide human-AI knowledge creation, conversion, and collaboration cycles.
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations (SHAP) across various model architectures.
Analyzes Amazon competitor performance, search share of voice, and sales benchmarks using SimilarWeb Shopper Intelligence data.
Provides comprehensive geospatial science capabilities for remote sensing, GIS analysis, and Earth observation workflows.
Standardizes the visual identity and technical rendering specifications for the Zero-Day Attack cyberpunk board game.
Accesses structured experimental data and deep insights from full-text scientific papers via the BGPT MCP server.
Generates professional Lucidchart and Lucidspark diagrams directly from code, system architectures, or text descriptions.
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