cleanddd-modeling
基于 cleanddd-requirements-analysis 结果输出 CleanDDD 建模蓝图,并在 only-danmuku 的 iterate/feature 目录交付 *_gen.json 建模元素与 *_update.sql DDL 变更脚本;用于将已拆解需求落为可生成代码的模型与数据库变更清...
Discover databases architecture patterns skills, compare source repositories and read the instructions for each workflow.
基于 cleanddd-requirements-analysis 结果输出 CleanDDD 建模蓝图,并在 only-danmuku 的 iterate/feature 目录交付 *_gen.json 建模元素与 *_update.sql DDL 变更脚本;用于将已拆解需求落为可生成代码的模型与数据库变更清...
在 only-danmuku 的 CleanDDD Kotlin 项目中编写或修改聚合/命令/查询/API 端点/事件/防腐层 Client/仓储/配置/测试时使用;遵循 代码实现规约.md 与 design/_gen + genDesign 的生成流程。
Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
React 19 architectural patterns, component design, and best practices
Designs functional architecture and detailed specifications for PHP/CakePHP applications based on analyzed requirements
Software design patterns for architecture, components, databases, and APIs
PHP security best practices and patterns for preventing common vulnerabilities
Safe, repeatable deployment strategies for applications across environments. Use when setting up deployment pipelines, deploying to production, planning deployment strategies, implementing rollback procedures,...
Infrastructure as Code (IaC) practices for provisioning and managing cloud resources. Use when provisioning cloud resources, managing infrastructure changes, setting up environments, disaster recovery planning,...
Architecture Decision Records (ADR) for documenting significant architectural decisions with context, rationale, and consequences. Use when making technology choices, defining system boundaries, establishing pa...
Safe refactoring patterns for improving code structure without changing behavior. Use when simplifying code, eliminating duplication, improving readability, or restructuring for maintainability.
Comprehensive observability strategy including metrics, logs, traces, and alerting. Use when setting up new applications, debugging production issues, performance optimization, SLA/SLO definition, incident resp...
Continuous Integration and Continuous Deployment best practices. Use when setting up automated build pipelines, test automation, deployment workflows, or improving release processes.
Systematic evaluation of software architecture across scalability, maintainability, security, performance, reliability, and cost dimensions. Use when designing systems, reviewing technical approaches, evaluatin...
Triages plan complexity to avoid heavyweight execution for trivial changes
Debug and fix Taskcluster task failures
システムアーキテクチャと技術スタック設計を支援します。モノリス/マイクロサービス判定、クラウドアーキテクチャ、スケーラビリティ設計を提供します。大規模システムの設計、技術アーキテクチャの決定が必要な場合に使用し...
Use when user asks about N+1 queries, performance optimization, query optimization, reduce API calls, improve render performance, fix slow code, optimize database, or reduce bundle size. Provides guidance on id...
Guides SDD artifact implementation for NEW and EXISTING projects. Use for DDD glossary, context map, domain models, ADRs, user stories with acceptance criteria. For existing projects, supports gap analysis, cod...
Alibaba Cloud architecture patterns and best practices. Use when designing, deploying, or reviewing infrastructure on Alibaba Cloud including ECS, ACK, Function Compute, and OSS.
Microsoft Azure architecture patterns and best practices. Use when designing, deploying, or reviewing Azure infrastructure including AKS, App Service, Functions, CosmosDB, and Entra ID.
Use when implementing validation or safety checks. Multi-layer validation approach prevents bugs through redundant safeguards. Makes bugs structurally impossible.
GitOps deployment patterns with ArgoCD and Flux. Use when implementing Git-based infrastructure management, continuous deployment, or declarative operations.
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.