osmo-user

Name: osmo-user
Author: nvidia/osmo

About osmo-user

Drive OSMO through its CLI or a connected MCP for cloud-robotics compute on behalf of an end user: check resources, submit/monitor/debug/explain workflows, fetch logs and Grafana/Kubernetes links, inspect direct data storage, manage workflow apps, and set workflow credentials. Use whenever the user asks about OSMO pools, quota, GPUs, or nodes, or about submitting, listing, querying, monitoring, or troubleshooting workflows — including failed, PENDING, queued, stuck, or image-pull-blocked workflows, or when they ask to inspect or transfer direct storage URIs such as `s3://...`. Use when the request explicitly mentions OSMO or the `osmo` CLI, or otherwise provides unambiguous OSMO context such as an OSMO pool, quota, workflow ID, or storage URI. Do not trigger solely from the word "workflow," which is ambiguous across host environments. Do not use for Kubernetes admin, server-side `osmo config` changes, OSMO install/deploy, non-OSMO compute, or general NVIDIA hardware questions.

Install

Copy the command and run it in a terminal.

$npx skills add https://nvidia/osmo --skill osmo-user

After installing, type/osmo-userin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

evals/

.gitignore

config.yml

evals.json

evals/files/fixtures/app_ok/

app_create_response.txt

evals/files/fixtures/default/

app_info_response.txt

app_list_response.txt

app_show_response.txt

app_spec_response.yaml

app_submit_response.txt

credential_list_response.txt

credential_set_response.txt

data_check_response.txt

data_download_response.txt

pool_list.json

profile_list.json

resource_list.json

workflow_events_badimage.txt

workflow_events_oom.txt

workflow_events_pending.txt

workflow_events_private_image.txt

workflow_list.json

workflow_logs_badimage.txt

workflow_logs_private_image.txt

workflow_logs_single_task.txt

workflow_logs_tool.txt

workflow_query_app_run.json

workflow_query_badimage.json

workflow_query_oom.json

workflow_query_pending.json

workflow_query_private_image.json

Comments

Markdown supported

Details

Author: nvidia/osmo
Category: Cloud & DevOps
Installs: 75

Report

More skills

All skills

lark-apps

open.feishu.cn

743.6k

Develop and host Miaoda (Spark/Miaoda) apps: app creation, local full-stack development, cloud generation and iteration, creative design (UI mockups / interactive prototypes / wireframes / landing pages / dashboards / slide decks / visual exploration), integration of AI-related capabilities, Feishu platform capabilities, or other external capabilities; log/Trace/monitoring metric/PV/UV queries; environment variable management; app collaborators and collaboration permissions; app roles and members; and automation triggers (scheduled / record changes / Webhook / Feishu approvals). Use when users want to develop or create a system, tool, platform, or app; develop locally or in the cloud, modify, deploy, publish, launch, or get a shareable link; create a page or website with HTML and deploy it to Miaoda; design, create a mockup, prototype, wireframe, PPT, deck, or visual exploration; or mention Miaoda/Spark/Miaoda apps (links like `/app/app_xxx` or `/page/<token>`, runtime domains like *.aiforce.cloud), app databases, app file storage, open API Keys, visibility, app collaborators/developer permissions, app roles/role members, production logs, API request volume, error volume, latency, traffic, environment variables, or setting up automation tasks, scheduled triggers, or approval-triggered automation for Miaoda apps. Not for regular cloud drive file uploads (lark-drive), Feishu document editing (lark-doc), or native slide creation (lark-slides).

wizard

github.com/mattpocock

580.6k

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

azure-prepare

github.com/microsoft

574.6k

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

azure-ai

github.com/microsoft

573.9k

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.