AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Identifies performance degradation in CI/CD pipelines by comparing real-time metrics against historical baselines and thresholds.
Optimizes LimaCharlie deployments by reducing operational costs, tuning query performance, and implementing efficient resource management strategies.
Validates security scan results by performing reachability analysis and generating proof-of-concept exploits to confirm real-world exploitability.
Composes multiple Claude Code skills into integrated, automated workflows to orchestrate complex multi-step processes.
Implements industry-standard authentication and authorization patterns including JWT, OAuth2, and RBAC to secure web applications and APIs.
Implements production-ready architectural patterns for building scalable Express and Fastify backend services with TypeScript.
Automates workflow integrations by creating custom hooks for Task Orchestrator cascade events and MCP tools.
Implement distributed tracing with Jaeger and Tempo to monitor microservices performance and visualize request flows across complex systems.
Automates the creation and management of production-ready Helm charts for Kubernetes applications.
Generates production-ready GitHub Actions workflows for automated testing, containerization, and multi-cloud deployment.
Implements robust secrets management and security best practices for CI/CD pipelines and cloud infrastructure.
Implements comprehensive testing strategies and quality assurance workflows using frameworks like JUnit, MockK, and Jest.
Monitors and troubleshoots GitHub Actions CI/CD workflows to ensure pipeline stability and fast issue resolution.
Streamlines backend development with Kotlin and Spring Boot by providing standardized API patterns, database integration, and robust testing strategies.
Implements PCI DSS security standards for cardholder data protection and secure payment processing.
Architects multi-stage CI/CD pipelines featuring automated approval gates, secure deployment strategies, and robust orchestration patterns.
Streamlines molecular machine learning workflows for drug discovery, property prediction, and materials science using the DeepChem library.
Generates visually engaging, research-backed slide decks for conferences, seminars, and academic presentations using AI.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring across diverse environments.
Implements high-performance persistent memory systems for AI agents to enable long-term context retention and autonomous pattern learning.
Analyzes and describes recent macOS screenshots to help resolve visual issues or explain on-screen content within Claude Code.
Configures and manages multiple Conda environment locations across different research group storage allocations on the UF HiPerGator supercomputer.
Organizes scientific research repositories by decoupling core code from experimental data and notebook outputs.
Resolves CuPy runtime compilation errors on Windows by correctly configuring CUDA NVRTC paths.
Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to establish measurable reliability targets and error budgets.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy Python library.
Streamlines academic research by automating literature searches, metadata extraction, and BibTeX citation formatting.
Generates high-quality technical documentation including READMEs, API references, tutorials, and architecture decision records.
Organizes Claude Code skills into a shared Git submodule to enable cross-project reuse and domain-specific isolation.
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