AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Configures and troubleshoots GPG commit signing across Windows, macOS, and Linux to ensure secure, verified Git contributions.
Explains complex enterprise architecture frameworks and patterns in practical, developer-focused terms.
Optimizes prompt engineering by matching task complexity to the most efficient prompt level using a structured seven-tier framework.
Configures standardized test validation commands and feedback loops for any software project type.
Configures and manages secure tool execution policies for Gemini CLI using TOML-based rules and priority tiers.
Builds custom Gemini CLI slash commands using TOML syntax to automate repetitive workflows and inject project-specific context.
Simplifies the selection, installation, and configuration of graphical Git interfaces across Windows, macOS, and Linux.
Coordinates multi-repository synchronization, architecture management, and package alignment using AI swarm orchestration.
Automates the synchronization of AI expertise files with real-world codebase changes to prevent mental model drift.
Standardizes and automates the creation of personalized 30/60/90-day onboarding plans and scalable department-wide programs.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Implements a distributed evolutionary memory system using Merkle-DAG timelines and holographic encoding for multi-agent consensus.
Implements multi-layered data validation and Shannon validation gates to eliminate bugs structurally across every system layer.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Leverages Google Gemini API to process and analyze audio, video, images, and documents directly within Claude.
Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Orchestrates complex development workflows by breaking work into small, parallelizable tasks executed by specialized subagents with clean context.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Optimizes documentation lookup and error resolution by using targeted search patterns instead of loading entire contexts.
Integrates Google's Gemini models into the Claude Code workflow to handle massive context windows and multimodal file processing.
Automates Nx generator execution with a focus on workspace-specific plugins and standard monorepo scaffolding.
Ensures code reliability and output accuracy through real-time truth scoring, automated quality checks, and intelligent rollbacks.
Evaluates AI alignment and protocol adherence through the Joseph Cognitive Baseline v2.1 test suite.
Implements production-grade frontend interfaces across React, Vue, Svelte, and Angular using modern performance patterns and state management.
Automates life sciences R&D workflows by integrating with the Benchling platform for registry, inventory, and lab notebook management.
Streamlines Python development using industry-standard tools for static analysis, automated testing, and IDE integration.
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