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Found 72 Skills
Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.
Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.
Build and deploy agentic finance applications on the Alva platform. Access 250+ financial data sources (crypto, equities, macro, on-chain, social), run cloud-side analytics, backtest trading strategies, and release interactive playbooks -- all from your AI agents.
Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building HTTP/queue/event-triggered Functions, Durable orchestrations, containerized Functions, CI/CD, or Dapr/OpenAI integrations, and other Azure Functions related development tasks. Not for Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
Manages server-side build/runtime via `.taubyte/build.sh` and `.taubyte/config.yaml`; env vars live in build.sh only. Website build.sh is stack-specific (Vite vs CRA/React, etc.). Documents GitHub → webhook vs Dream inject (push-all / push-specific).
Master Taubyte workflow skill. Enforces strict order with Dream-by-default routing, scope routing, context logging, and verification.
Use when user asks about pipeline status, CI build status, triggering a build, streaming pipeline logs, terminating a job, or checking if a pipeline passed or failed. Use pipelines-cli, NOT acli.
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
Google Cloud Platform CLI (gcloud, gcloud storage, bq). Use when: managing GCP resources, deploying to Cloud Run/Cloud Functions/GKE/App Engine, working with Cloud Storage, BigQuery, IAM, Compute Engine, Cloud SQL, Pub/Sub, Secret Manager, Artifact Registry, Cloud Build, Cloud Scheduler, Cloud Tasks, Vertex AI, VPC/networking, DNS, logging/monitoring, or any GCP service. Also covers: authentication, project/config management, CI/CD integration, serverless deployments, container registry, docker push to GCP, managing secrets, Workload Identity Federation, and infrastructure automation.
Operate Railway infrastructure: create projects, provision services and databases, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, and query Railway docs. Use this skill whenever the user mentions Railway, deployments, services, environments, build failures, or infrastructure operations, even if they don't say "Railway" explicitly.
Expert in Terraform infrastructure-as-code with cloud deployment patterns
Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when authoring Bicep/ARM templates, using template specs, deployment stacks, CI/CD pipelines, or ARM REST/CLI, and other Azure Resource Manager related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Graph (use azure-resource-graph), Azure Portal (use azure-portal), Azure Blueprints (use azure-blueprints).