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SkillsMP는 tosin2013/rhel-devops-skills-cli에서 16개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 16개 중 16개를 표시합니다.
AI assistance for building RHDP Catalog Items using the Field-Sourced Content Template — a self-service GitOps platform with Helm and Ansible deployment patterns. Use when creating demos or labs for Red Hat Demo Platform.
원문 언어: 영어
Project onboarding assistant that reads onboard.yml manifests to install prerequisites, configure environments, and validate deployment readiness for AgnosticD workshops, demos, and validated patterns. Use when a user clones a project and asks for help…
원문 언어: 영어
AI assistance for Showroom — the RHDP lab guide and terminal system. Use when creating Antora-based lab content, configuring Showroom deployment on OpenShift (terminal types, VNC, multi-user), or integrating Showroom with AgnosticD or Field-Sourced Content.
원문 언어: 영어
AI assistance for verifying that a deployed workshop or demo environment is ready for students. Use when a developer provides OpenShift credentials or bastion access and asks whether students can start the lab. Adapts to OCP, RHEL VM, AAP, and hybrid…
원문 언어: 영어
AI assistance for architecting, sizing, provisioning, and validating an AgnosticD deployment where Showroom runs on a dedicated hub cluster and students each get their own SNO or compact OpenShift cluster. Covers student count input (default 2), cloud…
원문 언어: 영어
Audit projects against RHEL DevOps standards — AgnosticD configs, onboard.yml manifests, deployed environments, and project structure. Produces structured PASS/WARN/FAIL reports with prioritized remediation plans containing executable commands. A meta-auditor…
원문 언어: 영어
AI assistance for validating an AgnosticD v2 deployment end-to-end — verifying provisioning completed cleanly, all workloads are running, agnosticd_user_info data is flowing, and the stop/start/status lifecycle works. Use after agd provision completes, before…
원문 언어: 영어
AI assistance for AgnosticD v2 — the Ansible Agnostic Deployer for provisioning infrastructure and deploying workloads on AWS, Azure, OpenStack, and OpenShift. Use when working with the agd CLI, catalog items, configs, or deployment workflows.
원문 언어: 영어
AI assistance for Patternizer — a CLI tool that bootstraps Git repositories containing Helm charts into ready-to-use Validated Patterns for OpenShift. Use when initializing, upgrading, or working with Validated Patterns.
원문 언어: 영어
AI assistance for resolving open research questions in the skill catalog. Use when a user wants to answer a (RESEARCH NEEDED — RQ-N) question, fetch upstream documentation and write findings permanently into the affected skill files, or propagate research…
원문 언어: 영어
AI assistance for validating a Validated Pattern deployment end-to-end — verifying VP Operator installation, ArgoCD Application convergence, secrets delivery via Vault and ESO, and imperative job completion. Use after pattern.sh make install or VP Operator…
원문 언어: 영어
AI assistance for validating the health of an already-running Validated Pattern deployment — checking ArgoCD Application convergence, secrets delivery, and job completion without re-installing. Use when the pattern was deployed by automation or by someone…
원문 언어: 영어
AI assistance for auditing and improving existing Validated Pattern repos against VP Operator requirements and Sandbox/Tested/Maintained tier criteria. Use when a developer has run `patternizer init` and needs to know what to fill in, or when preparing a…
원문 언어: 영어
AI assistance for auditing a Validated Pattern against VP tier requirements (Community/Sandbox, Tested, Maintained) and guiding submission to validatedpatterns/docs. Use after vp-deploy-validator reports HEALTHY and the pattern deploys fully without user…
원문 언어: 영어
AI assistance for auditing and improving existing AgnosticD v2 configs and workload roles against RHDP best practices. Use when a developer has an existing deployment and wants to improve it, fix validation failures, or prepare it for RHDP submission — not…
원문 언어: 영어
AI-as-student module testing — reads a workshop module (AsciiDoc or markdown), executes each student step against a live environment, verifies expected outcomes, classifies failures, and produces a step-by-step pass/fail report. Use when a developer asks to…
원문 언어: 영어