AI tools for “cloud”
287 results (tools & skills) · 148 ms
Run a Planning data-slice export against Oracle EPM Cloud (Planning / EPBCS) and materialize as a Spark DataFrame in an AIDP notebook. Use when the user mentions EPM Cloud, EPBCS, Hyperion Planning, planning app, MDX…
…Use when the user mentions Salesforce, SFDC, Sales Cloud, Service Cloud, Account, Opportunity, Lead, sObject, SOQL. Auth is host/port + user/password.…
Design and create AEM Workflow models on AEM as a Cloud Service. Use when creating workflow models via the Workflow Model Editor or content package XML, defining step types (PROCESS, PARTICIPANT, DYNAMIC_PARTICIPANT,…
Single entry point for all AEM as a Cloud Service Workflow skills. Covers workflow model design, custom process step and participant chooser development, launcher configuration, workflow triggering, and production…
Debug AEM Workflow issues on AEM as a Cloud Service — stuck workflows, failed steps, missing Inbox tasks, launcher failures, stale instances, thread pool exhaustion, queue backlogs, purge failures, and permissions…
…Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, Cloud SQL to RDS, GKE to EKS, Cloud Run to Fargate, App Engine to Elastic Beanstalk, or OpenAI/Gemini/agentic workloads to Bedrock. Discovery uses the…
…own gbrain over MCP so other devices, desktop apps and cloud agents can reach it. `gbrain mcp expose` installs and signs in Tailscale, publishes the running `gbrain serve --http` on the tailnet (HTTPS, tailnet-only…
No description in the SKILL.md.
No description in the SKILL.md.
No description in the SKILL.md.
Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.
Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.
Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.
Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.
No description in the SKILL.md.
…应用（链接形如 `/app/app_xxx` 或 `/page/<token>`，运行时域名形如 *.aiforce.cloud）、应用数据库、应用文件存储、开放 API…
…stages, deploy on push (`prisma git connect`, `prisma/cloud-deploy-action`), `prisma service` logs, versions, rollback, or custom domains, `project env`, `PRISMA_SERVICE_TOKEN`, regions, 504s, sleeping instances,…
No description in the SKILL.md.
…a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production…
…including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the…