rhdh-openshift-ai-connector

Use when installing, configuring, or troubleshooting OpenShift AI Connector for Red Hat Developer Hub to accelerate AI development. Covers AI asset mapping (InferenceService to Component, Model Registry to Resource, API specs, TechDocs model cards), RBAC setup, sidecar containers, dynamic plugin installation, metadata enrichment, and diagnostic procedures. Do NOT use for model serving itself (use rhoai-model-serving-platform). Do NOT use for RHDH installation or Git integration.

Ir a la instalación

Repositorio: adnan-drina/rhoai3-coding-demo
Última actividad en el origen: 6 de julio de 2026 a las 19:14
Idioma detectado de SKILL.md: inglés
Estrellas: 3
Forks: 2

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/adnan-drina/rhoai3-coding-demo --skill rhdh-openshift-ai-connector

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

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3 archivos

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Volver a la búsqueda Volver a la instalación

paved-road-m1

Use at M1 ANALYZE as the kind index. Pin only --skill paved-road-m1. Follow steps.json in order (skill_view subskills; native kanban_attach.py). Happy-path terminator is kanban_request_review, not kanban_complete. kanban_block for external/platform (MaaS 500, missing key, GPU). Do not pin derive-legacy-boot3, scan-with-mta, and inventory-legacy-surface on the card. Do not use for M2 PLAN, M3, or M4.

2026-08-29

paved-road-m2

Use at M2 PLAN as the kind index. Pin only --skill paved-road-m2. Follow steps.json in order (skill_view speckit-specify then plan/tasks, plan-migration-partition producer, check-spec-readiness, native check-partition-coverage.py and assert-m2-speckit-conformance.py, k4_convert.py, k4_mint.py). Happy-path terminator is kanban_request_review, not kanban_complete. kanban_block for external/platform (MaaS 500, missing key, GPU). Do not pin plan-migration-partition and check-spec-readiness on the card. Do not use for M1, M3, or M4.

2026-08-29

check-spec-readiness

Before kanban_create — lint SDD specs, story bodies (typed BODY_* codes), and partition coverage (HTTP 1:1 via story.endpoints as METHOD /path, dest_file 1:N with supersede; refuse invented HTTP paths vs inventory; K4 dest_file round-trip REFUSE dest-9 Application.java/GreetingResource.java; refuse AC HTTP tokens that diverge from endpoints; refuse mvn test whose pom parent has no test-toolchain claim). Do not use to mint Kanban children or assemble M3 bodies (K4 converter is .hermes/kernel/k4_convert.py).

2026-08-28

Ver todos los de este repositorio

name	rhdh-openshift-ai-connector
metadata	{"author":"rhoai3-coding-demo","version":"1.0.0","platform-family":"rhdh","platform-baseline":"repo","ocp-baseline":"repo","skill-group":"Developer Hub"}
description	Use when installing, configuring, or troubleshooting OpenShift AI Connector for Red Hat Developer Hub to accelerate AI development. Covers AI asset mapping (InferenceService to Component, Model Registry to Resource, API specs, TechDocs model cards), RBAC setup, sidecar containers, dynamic plugin installation, metadata enrichment, and diagnostic procedures. Do NOT use for model serving itself (use rhoai-model-serving-platform). Do NOT use for RHDH installation or Git integration.