发现 devops cicd 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。
Expert guidance for Azure DevOps CLI (az devops) - automation, pipelines, repos, boards, and artifacts management. Use when working with Azure DevOps, managing pipelines, creating work items, or when user menti...
WhaleFall(鲸落) 全局版本更新/发版同步工作流. 用于 bump 版本号(语义化 MAJOR.MINOR.PATCH)、消除 APP_VERSION/pyproject/env/uv.lock/部署脚本/健康检查/页脚/错误页/README/CHANGELOG/About 时间轴的版本漂移,并提供自检脚...
Expert in authoring Gherkin-compliant behavior specifications (Given, When, Then). Use when defining executable scenarios for feature specifications or acceptance tests.
Author safe, modern, and observable GitHub Actions workflow YAMLs for Node.js and GitHub CLI automation.
Park Golf Platform 문제 해결 가이드. 배포 오류, Cloud Run 오류, Terraform 오류, 빌드 실패 진단 및 해결 방법 안내. "오류", "에러", "실패", "안됨", "문제" 관련 질문 시 사용합니다.
Park Golf Platform 배포 가이드. 인프라 구성, 서비스 배포, 앱 배포 순서와 방법 안내. "배포", "deploy", "인프라", "Cloud Run", "Firebase" 관련 질문 시 사용합니다.
Protocol for agents to autonomously detect skill gaps and maintain documentation health.
Standardized release processes including versioning, changelog generation, and deployment automation.
Secure storage, rotation, and access control for secrets, credentials, and sensitive configuration.
Implementing GitOps workflows for Kubernetes deployments using ArgoCD.
Generator สำหรับสร้าง microservice ใหม่พร้อม structure, config, Docker, CI/CD, และ boilerplate code ครบชุด
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
Comprehensive guide to regression benchmarks for AI systems including test suite creation, CI/CD integration, and continuous benchmarking strategies
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
Automated code quality enforcement through linting, formatting, and type checking to maintain consistent, error-free codebases.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Comprehensive guide to identifying, visualizing, and managing dependencies in complex projects to reduce risks and enable coordination
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
Automated scripts for common repository tasks including setup, cleanup, dependency updates, and maintenance.
Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
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。