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。
Navigates the operational physics of consciousness using four foundational Sanskrit principles to resolve complex patterns and drive breakthroughs.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to establish measurable reliability targets and error budgets.
Designs resilient multi-cloud architectures by comparing services and implementing cross-platform patterns across AWS, Azure, and GCP.
Generates structured implementation roadmaps and technical documentation with context-aware phases and verification criteria.
Designs and evaluates multi-cloud architectures by selecting and integrating optimal services across AWS, Azure, and GCP.
Implements scalable, production-ready Node.js backend architectures using Express and Fastify frameworks.
Designs secure, multi-stage CI/CD pipelines with automated approval gates and advanced deployment orchestration.
Queries and interprets NCBI ClinVar data to evaluate human genetic variant pathogenicity and clinical significance for genomic medicine.
Applies foundational Sanskrit principles to navigate the operational physics of consciousness and pattern recognition.
Designs multi-stage CI/CD pipelines featuring approval gates, security checks, and advanced deployment orchestration patterns.
Architect robust multi-stage CI/CD pipelines with integrated approval gates, security checks, and advanced deployment orchestration.
Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.
Queries and interprets NCBI ClinVar data for human genetic variant pathogenicity and clinical significance.
Facilitates real-time collaborative coding sessions with AI through specialized driver, navigator, and mentoring modes.
Automates collaborative coding workflows with AI-driven driver/navigator roles, real-time quality monitoring, and integrated TDD patterns.
Automates the migration of codebases and prompts from Claude Sonnet and Opus 4.1 to the latest Opus 4.5 model.
Implements comprehensive Sentry v8 error tracking and performance monitoring across backend services and cron jobs.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Migrates codebases and prompts from earlier Claude models to the Opus 4.5 architecture across all major cloud platforms.
Facilitates collaborative AI-assisted pair programming sessions with intelligent role management and real-time code verification.
Interfaces with NCBI ClinVar to query, interpret, and process human genetic variant clinical significance data for genomic medicine.
Enables secure, read-only access to MongoDB databases for schema exploration, data retrieval, and performance analysis.
Facilitates sophisticated human-AI collaboration through automated role management, real-time code verification, and diverse development modes.
Organizes files and folders intelligently by understanding context, finding duplicates, and automating digital workspace cleanup.
Generates ultra-granular, test-driven implementation plans that enable developers to execute complex tasks with zero prior codebase context.
Accesses and interprets the NCBI ClinVar archive to identify genomic variant clinical significance and pathogenicity classifications.
Automates the creation of high-quality, standardized component documentation for the SEED Design System using Rootage YAML specs.
Integrates Sentry v8 error tracking and performance monitoring into Node.js services to ensure comprehensive system observability.
Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.
Standardizes the creation and organization of Claude Code plugins through structured directory layouts and manifest configurations.
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