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。
Runs existing test suites automatically to detect code regressions and ensure project stability after implementation changes.
Executes and tracks development tasks from Todo to To Review while maintaining project quality standards and documentation.
Audits application entry points, initialization sequences, and graceful shutdown procedures to ensure production reliability.
Orchestrates the migration of prototype codebases into standardized Clean Architecture structures for .NET and React projects.
Fetches Kit (formerly ConvertKit) newsletter broadcasts to provide historical context and style references for content creation.
Automates Git hook configuration to enforce code quality and conventional commit standards before code is shared.
Generates production-ready .NET 10+ backend structures following Clean Architecture principles from entity definitions.
Configures robust testing frameworks, coverage thresholds, and sample test suites for TypeScript, .NET, and Python projects.
Generates AI-powered chapter summaries and timestamps for YouTube videos to enhance navigation and SEO.
Automates Docker container builds and deployments with comprehensive health checks and environment validation.
Standardizes backend infrastructure by automating the setup of logging, error handling, CORS, health checks, and API documentation for .NET and Python projects.
Downloads and saves Zoom meeting transcripts directly from recordings for automated documentation and analysis.
Audits codebases for race conditions, async/await patterns, and thread safety violations to ensure robust concurrent execution.
Synchronizes and updates Linear user stories automatically when Epic requirements or technical standards change.
Analyzes completed implementation tasks against DRY, KISS, YAGNI, and architectural principles to ensure production-ready code.
Researches industry standards and generates professional project documentation including pattern guides, API manuals, and Architecture Decision Records (ADRs).
Coordinates nine specialized AI workers to perform comprehensive codebase audits across security, architecture, and quality domains.
Automates dependency updates across multiple languages and package managers with security audits and build verification.
Automates the revision of tasks based on reviewer feedback to move them from To Rework back to To Review status.
Orchestrates the planning, creation, and reorganization of technical implementation tasks for software development stories.
Automates test execution and coverage reporting across multiple programming languages and frameworks.
Audits and optimizes code documentation quality to ensure comments explain rationale rather than obvious code behavior.
Transforms monolithic React codebases into scalable, component-based architectures using AST-driven analysis.
Executes and validates test-labeled tasks through the full implementation lifecycle using risk-based constraints and strict assertion principles.
Configures professional-grade linting and formatting stacks for TypeScript, Python, and .NET projects.
Audits codebases for architectural integrity, design pattern violations, and technical debt using industry-standard principles.
Identifies and prioritizes untested critical business logic across financial, security, and data-sensitive code paths.
Orchestrates a comprehensive, multi-dimensional audit of test suites to identify coverage gaps, eliminate redundant tests, and calculate risk-based value scores.
Identifies and audits unreachable code, unused variables, and legacy shims to reduce technical debt and codebase bloat.
Upgrades Node.js dependencies across npm, yarn, and pnpm while automatically handling breaking changes and migrations.
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