AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Qualifies sales opportunities using the POWERFUL framework to identify deal gaps and accelerate pipeline velocity.
Coordinates multiple specialized AI agents using a central supervisor pattern within LangGraph workflows.
Simplifies end-to-end browser testing and UI automation for Laravel applications using expressive syntax and stable selectors.
Performs robust differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Performs advanced biological computation and molecular biology workflows using the Biopython toolkit.
Facilitates end-to-end testing and browser automation for local web applications using Python Playwright scripts and server management utilities.
Generates high-converting, personalized cold call scripts using a proven 5-step framework to improve prospecting outcomes.
Transforms academic papers into interactive websites, professional presentation videos, and print-ready conference posters.
Manipulates, analyzes, and visualizes phylogenetic trees with support for evolutionary event detection and NCBI taxonomy integration.
Validates and troubleshoots GA4 implementations using real-time DebugView monitoring and event verification workflows.
Queries and analyzes global clinical trial data from the ClinicalTrials.gov API v2 for medical research and patient matching.
Generates long-running autonomous coding agents based on Anthropic best practices for persistent, 24/7 project development.
Develops modern Shopify themes using Online Store 2.0 architecture, JSON templates, and modular Liquid sections.
Generates robust, browserless Karibu unit tests for Vaadin views to ensure server-side UI logic integrity.
Builds, fits, and validates Bayesian statistical models using PyMC and ArviZ for probabilistic programming.
Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, foods, and regulatory actions for safety research and analysis.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variants, SNP-trait associations, and comprehensive genomic summary statistics.
Implements advanced survival analysis and time-to-event modeling using the scikit-survival library in Python.
Generates publication-quality statistical graphics and exploratory data visualizations using the Seaborn Python library.
Analyzes Glide applications to identify performance bottlenecks, optimize data structures, and improve user experience through non-destructive audits.
Simplifies mass spectrometry data processing and analysis within Python-based proteomics and metabolomics workflows.
Automates the software versioning process by handling version bumps, Git staging, commits, and release tagging.
Generates structured JSON manifests to document changes, commands, and verification results for traceable delivery chains.
Provides AI-ready datasets, benchmarks, and molecular oracles for drug discovery and therapeutic machine learning.
Queries and interprets NCBI ClinVar genetic variant data to provide clinical significance classifications and genomic annotations.
Provides comprehensive guidance on Google Analytics 4 event architecture, naming conventions, and parameter configuration for precise data collection.
Enforces a memory-first retrieval process to leverage persistent project knowledge before exploring code or answering queries.
Orchestrates and automates multi-step development workflows with integrated task tracking and backlog synchronization.
Enables high-performance analysis and visualization of tabular datasets with billions of rows using lazy, out-of-core DataFrames.
Evaluates research rigor, methodology, and statistical validity to critically analyze scientific claims and evidence quality.
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