发现 工具与集成 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。
This skill should be used when creating Docker containers for Claude Code sandboxing, configuring isolated development environments, setting up Docker volumes and persistence, configuring port forwarding for sa...
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.
Workflow for auditing security vulnerabilities using Trunk (Trivy and OSV-scanner). Use when checking for project vulnerabilities, hard-coded secrets, or repairing security flaws.
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
Using runtime switches to enable or disable features without deploying new code, decoupling deployment from release and enabling gradual rollouts, A/B testing, and emergency feature disabling.
Comprehensive guide to safe agent deployment strategies including canary releases, feature flags, kill switches, and automated rollback mechanisms
Standardized development environment configuration including tools, IDE settings, and automation for consistent developer experience.
Plan, implement, and debug frontend tests: unit/integration/E2E/visual/a11y. Use for Playwright MCP browser automation, Vitest/Jest/RTL, flaky test triage, CI stabilization, and canvas/WebGL games (Phaser) need...
Deploying new version alongside existing version, switching traffic to new version after validation, enabling instant rollback by switching back to old version for zero-downtime deployments.
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Comprehensive guide for ML model versioning and management strategies, including model registries, metadata tracking, and deployment workflows.
Language-aware build orchestration that detects project language and runs appropriate build pipeline
Infrastructure as Code for IoT environments using Terraform, Ansible, and GitOps for scalable, reproducible infrastructure
Implement Software/Model Bill of Materials (SBOM/MBOM) for AI systems, vulnerability management, adversarial attack defense, and trusted AI pipelines to secure the AI supply chain from training to deployment.
Gradually rolling out new versions to a subset of users, monitoring for issues, and expanding the rollout if everything looks healthy to minimize risk and enable fast rollback.
Review architecture compliance before execution
Comprehensive guide to regression benchmarks for AI systems including test suite creation, CI/CD integration, and continuous benchmarking strategies
This skill should be used when the user asks to "run ralph", "set up ralph", "create a PRD workflow", "use ralph-orchestrator", "autonomous coding loop", "hat-based agents", or mentions ralph tasks, ralph prese...
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。