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。
Automates the creation of comprehensive Markdown documentation for database master tables by analyzing schemas, CSV files, and source code.
Converts Jira issues, backlogs, and sprint data into structured, AI-readable Markdown format using Atlassian MCP.
Automates dependency optimization, security patching, and package lifecycle management for Node.js projects.
Manages GitHub pull request reviews, approvals, and feedback workflows using the gh CLI.
Orchestrates the lifecycle of AI tasks by establishing structured working directories, clear objectives, and persistent documentation for seamless project continuity.
Automatically audits and polishes generated code to ensure production-grade quality before it reaches the user.
Performs advanced data analysis and business intelligence using specialized SQL patterns for statistical and exploratory insights.
Facilitates guided brainstorming sessions to transform vague project concepts into structured, actionable feature descriptions.
Standardizes the creation and optimization of Claude Code plugins, skills, and commands using official best practices.
Automates iterative task completion and autonomous development loops within Claude Code using the compounder mechanism.
Optimizes Storybook development for desktop applications by providing platform-specific architectural patterns and IPC mocking for Tauri and Electron.
Guides structured, spec-driven development workflows to align requirements and design before writing code.
Converts PDF documents into structured Markdown format, preserving text hierarchies and complex table data.
Automates the creation of comprehensive design system documentation and component guidelines using Storybook and MDX.
Automates Amazon EKS cluster management, authentication token generation, and Kubernetes client integration using the AWS Boto3 SDK.
Generates optimized, modern Neo4j Cypher queries while ensuring compatibility with the latest syntax standards and performance patterns.
Optimizes Storybook component performance and bundle size using AI-powered analysis and automated code fixes.
Guides developers through a complete OpenSpec workflow cycle to master the structured explore-to-archive implementation methodology.
Generates modern React Server Components and Next.js 15 patterns including async data fetching, streaming, and Server Actions.
Generates publication-quality visual assets, component mockups, and style guides using advanced AI image models.
Streamlines updates and migrations for @lenne.tech/nest-server through structured migration guides, breaking change analysis, and automated workflows.
Implements modern AI patterns including streaming responses, tool calling, and structured outputs using the Vercel AI SDK.
Automates periodic message prompts and AI responses within your Claude conversation using standard cron expressions or millisecond intervals.
Automates intelligent visual regression testing for Storybook by using AI to distinguish between intentional design updates and actual UI bugs.
Automates the setup and optimization of Storybook 9 environments with framework detection and cross-platform support.
Automates the creation of isolated git worktrees and feature branches to enable parallel development workflows within Claude Code.
Implements universal coding standards and architectural patterns for TypeScript, JavaScript, React, and Node.js projects to ensure maintainable, high-quality code.
Automates the creation of comprehensive Storybook CSF 3.0 stories with integrated interaction and accessibility tests.
Implements Progressive Web App features in Next.js applications including offline support, service workers, and push notifications.
Automates the creation of all OpenSpec artifacts required for code implementation in a single, efficient sequence.
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