Skills for “cloud”
80 skills match · 315 ms
…logs, JSON/CSV dumps, media, large documents) in Google Cloud Storage (GCS) using the Open Knowledge Format (OKF). Beyond basic retrieval, agents can creatively apply this skill to a broad spectrum of search and…
Use this skill to configure Education Cloud domains (Student Success, Recruitment & Admissions, Academic Operations, Alumni Relations, Student Management, or Mentoring) through conversational setup. Triggers when a user…
…OR maintain an institutional hierarchy for Education Cloud by parsing organizational structure from a PDF, URL, text, or CSV. On a first run it creates System, Campus, College, and Department Account records…
Run streamed Unitree G1 cloud-navigation demos in Isaac Sim with guarded gantry release. Use for demo, destination, Mission Control, or cleanup requests.
Audits the security posture of a CockroachDB cluster (Cloud or self-hosted) across network, authentication, authorization, encryption, audit logging, and backup dimensions. Use when assessing cluster security readiness,…
…up, create, or generate an academic calendar for Education Cloud orgs. Creates Academic Year, Academic Terms (semester/quarter/trimester), Academic Sessions, registration windows, and add/drop deadlines from natural…
…Learning and LearningCourse records in Education Cloud. Triggers when a user wants to import courses, parse course catalog documents, or set up a course catalog for an academic term. Handles multi-source data…
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling…
Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS…
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host…
Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it…
…real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls…
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including…
Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate…
Zilliz Cloud onboarding and usage assistant. Helps users understand Zilliz Cloud, choose the right plan, estimate costs, write code, debug issues, and adopt new features like Functions, Volumes, and Global Clusters. Use…
Use this skill to run the full end-to-end Life Sciences Cloud setup workflow for field sales rep in sequence. Trigger when the user says 'set up Life Sciences Cloud end to end', 'run the full LSC setup', 'orchestrate…
THE skill for creating a Data Cloud / Data Governance access policy — authors and deploys a PolicyRuleDefinitionSet + PolicyRuleDefinition pair (CRUD) covering OLS, FLS, RLS, masking/transform, and…
…export pipeline to push promotion measures into Data Cloud (Data 360) for Trade Promotion Effectiveness (TPE) dashboards. Use when a customer or admin wants to set up the RTR export for Data Cloud measures,…
…user's app on a remote iOS/Android simulator hosted on EAS cloud. Read before running any `eas simulator:*` commands - it has the current syntax for this experimental API. Use whenever the user needs a simulator they…
…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…