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。
Synchronizes SpecWeave development increments with JIRA projects by mapping technical specifications to epics, stories, and subtasks.
Orchestrates the SpecWeave autonomous development lifecycle by enforcing spec-driven workflows, increment discipline, and automated living documentation.
Optimizes mobile development by streamlining Expo project configuration, EAS build pipelines, and over-the-air update strategies.
Orchestrates complex programming tasks by analyzing available specialized skills and generating structured, multi-step execution plans.
Reduces token usage by up to 80% through intelligent intent analysis and surgical removal of irrelevant context from Claude's workspace.
Manages complex task structures and project workflows using advanced beads (bd) operations.
Implements comprehensive defense-in-depth security for Kubernetes clusters using industry-standard policies and access controls.
Optimizes your development workspace by intelligently archiving old, completed, and inactive Specweave increments to keep your project organized.
Implements comprehensive request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and service dependencies.
Provides expert guidance on software architecture patterns, system design tradeoffs, and implementation strategies.
Automates the creation and management of production-grade Grafana dashboards for real-time system and application observability.
Detects unusual patterns and outliers in data using statistical methods and machine learning algorithms integrated with the SpecWeave workflow.
Builds, configures, and deploys high-performance Docusaurus documentation sites with advanced MDX, versioning, and internationalization support.
Enforces rigorous evidence-based verification before marking any coding task, bug fix, or build as complete.
Streamlines the process of packaging, versioning, and distributing Claude Code plugins across npm, GitHub, and official marketplaces.
Provisions budget-friendly infrastructure on Hetzner Cloud using Terraform and Pulumi for production-ready SaaS deployments.
Automates the release process for Python packages, including version bumping, changelog generation, and publishing to PyPI.
Automates the end-to-end feature engineering process for machine learning pipelines, from data quality assessment to production-ready transformations.
Organizes development specifications and synchronizes tasks across complex multi-project Azure DevOps architectures.
Optimizes cloud expenditure across AWS, Azure, and GCP through advanced FinOps strategies and automated resource right-sizing.
Conducts comprehensive machine learning model evaluations with advanced metrics, statistical validation, and automated reporting.
Implements service reliability targets using SLIs, SLOs, and error budgets to balance innovation velocity with system stability.
Validates and automatically configures Jira projects and boards within your development environment.
Automates the detection of unintended UI changes across browsers and devices using screenshot comparison and pixel-diff analysis.
Provides expert guidance on Apache Kafka cluster design, capacity planning, and high-availability strategies for resilient event streaming.
Manages granular, task-level progress tracking and team collaboration directly within GitHub issues for AI-driven development.
Designs and implements high-performance event-driven stream processing topologies using Java and Kotlin.
Automatically identifies and suggests reopening relevant tasks or increments when issues are reported in recently completed work.
Executes lightning-fast status and progress commands directly via bash scripts to bypass LLM processing time and token costs.
Synchronizes semantic versioning across multiple repositories and microservices using intelligent release strategies and commit analysis.
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