severity-levels
Comprehensive guide to incident severity classification and response requirements
浏览 AmnadTaowsoam 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
417收录技能的仓库 Stars 合计
223仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Comprehensive guide to incident severity classification and response requirements
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stakeholders.
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
Organization-wide REST/GraphQL API conventions: URL and naming rules, versioning, pagination/filtering, status codes, authentication headers, and compatibility guidance
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
See the main Incident Triage skill for comprehensive triage workflows and procedures.
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
Comprehensive guide to offline and online evaluation strategies including A/B testing, shadow mode, canary deployments, and bridging offline-online metrics
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development
See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
Implementing fast feedback loops with hot reload, live reload, and rapid iteration to maximize developer productivity.
Architecture and implementation strategies for consumption-based billing models in SaaS products.
SSOT blueprint for creating consistent services: folder structure, required endpoints, dependency conventions, interface contracts, docs/testing/security/observability requirements
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
Systematic approach to testing system resilience through controlled failure injection and experimentation
Comprehensive guide to creating operational runbooks including incident response, deployment procedures, troubleshooting guides, and on-call playbooks
Standardize and package logs, metrics, and traces into services by default using a lightweight stack and shared instrumentation with dashboards and alerting
Comprehensive guide to preventing PII and secrets from appearing in logs through redaction strategies, safe logging practices, and automated filtering.
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
Comprehensive guide to delivery governance including quality gates, standards, compliance, and balancing governance with agility
Implementing Command Query Responsibility Segregation for separating read and write operations in distributed systems.
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
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。