websocket-patterns
Advanced WebSocket patterns for real-time bidirectional communication in web applications.
发现 测试与安全 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Advanced WebSocket patterns for real-time bidirectional communication in web applications.
Comprehensive runbooks and playbooks for on-call incident response
Defining clear ownership models and escalation procedures to ensure incidents are handled by the right people at the right time.
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
How to organize and index documentation for humans and AI: taxonomy, metadata, cross-linking, freshness reviews, and automated index generation
Comprehensive onboarding documentation to get new developers productive quickly with clear guides, checklists, and resources.
Comprehensive guide to database transactions, ACID properties, isolation levels, locking, and distributed transactions.
Rapid assessment and initial response processes for production incidents
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Architecture patterns and strategies for multi-cloud deployments to avoid vendor lock-in.
Comprehensive guide to identifying, visualizing, and managing dependencies in complex projects to reduce risks and enable coordination
Implementing distributed transactions across microservices using the Saga pattern with choreography and orchestration approaches.
Implementing and optimizing database connection pools for high-performance applications.
Environment standards for development, staging, and production: parity principles, data and access policies, configuration boundaries, and deployment controls
Operational patterns for multi-tenant systems: tenant-safe debugging and monitoring, per-tenant maintenance and migrations, fairness controls, and compliance-aware access
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
Structured process for reviewing and validating architectural decisions before implementation to catch issues early.
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
Generator สำหรับสร้าง database migration files พร้อม up/down scripts, validation และ rollback safety
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。