发现 testing security architecture patterns 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。
AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate g...
AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation header...
AI-powered CI Gatekeeper Agent that enforces observability standards in CI/CD pipelines. Use when: (1) Generating GitHub Actions/Jenkins pipelines for observability gates, (2) Configuring progressive enforcemen...
AI-powered Signal Factory Core for processing observability signals and maintaining the knowledge graph. Use when: (1) Developing Signal Engines (Freshness, Drift, Contract, DQ, Volume, Anomaly), (2) Configurin...
File size limits, decomposition patterns, and component architecture. Load before creating any new files. (project)
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
Complete guide for creating, publishing, and consuming events in the DeLoNET home network's 33GOD agentic developer pipeline. Built on RabbitMQ with strict type safety via Pydantic, async Python (aio-pika), Fas...
Meta-skill that orchestrates other skills into intelligent, self-coordinating workflows. Use when complex tasks require multiple skills working together, need automated skill routing based on task analysis, wan...
Spot patterns appearing in 3+ domains to find universal principles
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"
Local-first codebase search with lexical-first BM25 (89.9% Recall@5), multi-hop research, and built-in project memory. Use for architecture analysis, dependency mapping, code research, and finding patterns acro...
Analyze system-wide impact of changes before making them. Use before modifying shared utilities, changing APIs, or refactoring core functionality.
Copilot agent for cloud architecture design, AWS/Azure/GCP configuration, IaC code generation (Terraform/Bicep), and cost optimization Trigger terms: cloud architecture, AWS, Azure, GCP, cloud infrastructure,...
AI agent supporting REST/GraphQL/gRPC API design, OpenAPI specification generation, and API best practices Trigger terms: API design, REST API, GraphQL, OpenAPI, API specification, endpoint design, API contrac...
Copilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeli...
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Copilot agent that assists with architecture design, C4 model diagrams, ADR creation, and tradeoff analysis Trigger terms: architecture, system design, C4 model, ADR, architecture decision, design patterns, co...
Copilot agent that assists with CI/CD pipeline creation, infrastructure automation, Docker/Kubernetes deployment, and DevOps best practices Trigger terms: CI/CD, DevOps, pipeline, Docker, Kubernetes, deploymen...
.NET Software Engineer persona using TDD and Domain Driven Design
JavaScript and TypeScript best practices inspired by DHH's philosophy - writing elegant, maintainable, and expressive code
Best practices for creating clear, comprehensive, and maintainable documentation for code, APIs, and systems
React best practices and patterns for building maintainable, performant applications with modern React features
Best practices for writing Architecture Decision Records (ADRs) that document significant technical decisions with comprehensive context, examples, and rationale
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。