advanced-iac-for-iot
Infrastructure as Code for IoT environments using Terraform, Ansible, and GitOps for scalable, reproducible infrastructure
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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...
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)
Centralized repository for managing ML model lifecycle, versions, artifacts, and deployment metadata at enterprise scale
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
Performs systematic code review checking for correctness, maintainability, security, and best practices. Activates when user requests review, before creating PRs, or when significant code changes are ready. Ens...
Conventions for service configuration and environment variables: naming, precedence, validation at startup, secrets handling, environment detection, and documentation patterns
Use when working with Docker containers, creating Dockerfile configurations, writing docker-compose files, setting up CI/CD pipelines with GitHub Actions, or managing infrastructure deployments.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Checklist gate สำหรับ production release ครอบคลุม testing, documentation, rollback plan, และ stakeholder sign-off
Automating building, testing, and deploying mobile applications using GitHub Actions, Fastlane automation, code signing, and App Store submission automation.
n8n v2.0 workflow design patterns and best practices. Use when building new workflows, debugging IF/Merge issues, fixing execution order problems, or modernizing legacy workflows. Covers conditional logic, para...
Multicloud architecture, engineering, and development across AWS, Azure, GCP, OCI, and Alicloud. Use for cloud architecture design, SDK/API debugging (Go, Python, etc.), IaC development (Terraform, Pulumi, Clou...
Comprehensive GitLab API reference and interaction guide.
GitHub Spec-Kit integration for constitution-based spec-driven development. 7-phase workflow. Triggers: "spec-kit", "speckit", "constitution", "specify", ".specify/", "规格驱动开发", "需求规格".
n8n Workflow Operations - List, trigger, create, deploy workflows. Full lifecycle via MCP Hub or Direct API.
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
Automated code review workflow using OpenAI Codex CLI. This skill should be used when the user requests code to be reviewed using Codex CLI, or when implementing features that should be validated with automated...
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
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。