AI tools for “infrastructure”
117 results (tools & skills) · 191 ms
…templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code. Use when setting up CI/CD pipelines, configuring deployments, or managing infrastructure for DataRobot application…
Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services, databases, and buckets, deploy code, configure infrastructure as code, environments and variables, manage…
…Docker containers", "monitor my Kubernetes cluster", "send infrastructure metrics to Logfire", "watch my database/Postgres/Redis/MongoDB/Kafka", "collect cloud metrics" (AWS/GCP), or mentions the OpenTelemetry…
…LangChain, LangGraph, CrewAI, AutoGen, and Google ADK. For infrastructure-only monitoring (hosts, Docker, Kubernetes, databases, or cloud metrics with no app-code changes), use `logfire-infrastructure`. For evaluating…
Catalyst Zoho MCP — manage Catalyst infrastructure (tables, buckets, cache) via CatalystbyZoho_* MCP tools using natural language. Trigger on 'Zoho MCP', 'MCP tools', 'catalyst MCP', 'CatalystbyZoho', 'create table with…
…generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing infrastructure from CloudFormation, CDK, or Terraform code.…
…often funded by credits, asks what a pull request or other infrastructure-as-code change (Terraform, AWS CDK, or AWS CloudFormation) will add to that bill before apply, or wants that cost on every pull request,…
…IDs, Regions) for deployment. - Provisioning supported infrastructure like BigQuery datasets/tables, Dataform resources, or DTS resources via deployment.yaml. Do not use when: - Resources already exist. - Managing…
…to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO…
…or validates the profile, then runs Clarify, and needs no infrastructure skill installed. This release stops after Clarify: it does not design, estimate, generate artifacts, or rewrite code. To rewrite SDK calls to…
…APIs, databases, CDNs) by analyzing billing exports and infrastructure code, then ranks savings by dollars and effort with exact fixes and risks. Use when the user asks to reduce cloud costs, review a cloud bill,…
…deploy or host a sales funnel or landing page on your own infrastructure, to self-host a ClickFunnels alternative cheaply, or to let an agent create and edit funnels…
…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…
…that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy,…
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF…
…for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check…
…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…
Swarmauri is Composable Intelligence infrastructure: a contract-first Python ecosystem for tools, agents, models, parsers, middleware, storage, cryptography, signing, certificates, identity, tokens, transports,…
NEXT QUERY 2026 is PhoenixAI's free online Data + AI Infrastructure Summit on November 4, 2026. Two tracks on lakehouse architecture, real-time analytics, and AI agent workloads.
Trusted AI for critical infrastructure to deliver secure, explainable agents across cloud, on-prem, and edge with rapid time to impact.