GitHub
analyzing-requirements
ユーザー要件を分析し、システム設計ドキュメント(DESIGN.md)を生成します。ユーザー要件が曖昧または不明確な場合、システムアーキテクチャの設計が必要な場合、大規模な機能開発の設計仕様が必要な場合、技術的実現可能性の...
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GitHub
ddd-modeling
ドメインエキスパートとの対話を通じてユビキタス言語（用語集）とドメインモデルを作成する。新規プロジェクト開始時のドメイン理解、既存システムのリファクタリング前のモデル整理、チーム内での用語統一が必要な場合に使用...
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GitHub
reviewing-skills
Claude Codeスキルを公式ベストプラクティスに基づいてレビューします。SKILL.mdファイルのレビュー、スキル品質のチェック、スキル構造の検証、改善提案が必要な場合に使用します。「このスキルをレビューして」「スキル品質...
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GitHub
planning-tasks
承認済みの設計書（DESIGN.md）からTDD準拠のTODO.mdを作成します。analyzing-requirementsスキルで設計が完了・承認された後に使用します。developingスキルで実装できる形式のタスクリストを生成します。
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GitHub
swarm
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance. Use for complex features, large refactors, or multi-step tasks. Supports behavioral constraints, parallel workers, and p...
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GitHub
log-analyzer
智能日志分析工具，帮助快速定位应用错误和性能瓶颈
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GitHub
data-optimizer-pro
智能数据优化工具，自动清理和优化项目文件
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GitHub
network-analysis
Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational structures
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GitHub
performance-testing
Design and execute performance tests to measure response times, throughput, and resource utilization. Use for performance test, load test, JMeter, k6, benchmark, latency testing, and scalability analysis.
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GitHub
prometheus-monitoring
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building obse...
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GitHub
code-documentation
Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentat...
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GitHub
css-architecture
Organize CSS using BEM, SMACSS, and CSS-in-JS patterns. Use when building scalable, maintainable styling systems with proper naming conventions.
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GitHub
reactive-programming
Implement reactive programming patterns using RxJS, streams, observables, and backpressure handling. Use when building event-driven UIs, handling async data streams, or managing complex data flows.
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GitHub
neural-network-design
Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow
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GitHub
server-side-rendering
Implement server-side rendering with template engines, view layers, and dynamic content generation. Use when building server-rendered applications, implementing MVC architectures, and generating HTML on the ser...
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GitHub
webhook-integration
Implement secure webhook systems for event-driven integrations, including signature verification, retry logic, and delivery guarantees. Use when building third-party integrations, event notifications, or real-t...
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GitHub
data-cleaning-pipeline
Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
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GitHub
continuous-testing
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
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GitHub
event-sourcing
Implement event sourcing and CQRS patterns using event stores, aggregates, and projections. Use when building audit trails, temporal queries, or systems requiring full history.
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GitHub
memory-leak-detection
Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
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GitHub
container-registry-management
Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.
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GitHub
ruby-rails-application
Develop Ruby on Rails applications with models, controllers, views, Active Record ORM, authentication, and RESTful routes. Use when building Rails applications, managing database relationships, and implementing...
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GitHub
kpi-dashboard-design
Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.
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GitHub
log-analysis
Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.