Skill UI

Generates production-ready CI/CD configurations for GitHub Actions, GitLab CI, and Jenkins, covering testing, security, build, and deployment stages to automate software delivery pipelines and multi-environment releases.

Creates production-ready GitOps workflows for ArgoCD or Flux, producing manifests, repository layout guidance, and deployment instructions tailored to the user’s infrastructure so Kubernetes clusters stay in sync with Git.

Build production-ready GraphQL servers with SDL-first or code-first schemas, resolvers using DataLoader batching, field-level authorization, query complexity guards, and WebSocket subscriptions for realtime APIs.

Generates reusable Terraform modules based on user specifications by invoking the terraform-module-builder plugin to produce production-ready configurations that include documentation, security safeguards, and scalable patterns whenever an infrastructure-as-code structure is requested.

A comprehensive guide to implementing reliable, scalable, and resilient background job processing in Node.js/TypeScript using BullMQ and Redis. Covers advanced patterns such as delayed jobs, repeatable scheduling, job dependencies (flows), rate limiting, robust error handling, and graceful worker shutdown, ensuring production-grade async execution.

Automated Frontend Development assistant that guides bundle size analysis, optimization best practices, and production-ready code/config setup for React, Vue, CSS, and performance workflows.

This mandatory guide provides comprehensive patterns and best practices for building production-ready MCP (Micro-Cloud Platform) servers using the mcp-use framework. It covers the entire development lifecycle, including project scaffolding, core architecture, implementing backend tools and resources, and integrating advanced authentication methods (OAuth, Auth0, Keycloak, etc.). It is essential reading before creating or modifying any MCP server.

Use Clay advanced debugging playbook to gather evidence bundles, isolate failure layers, recreate minimal reproductions, and escalate complex race-condition or timing bugs with structured support artifacts.

Automates deployment of Clay-powered services to Vercel, Fly.io, Docker, or Cloud Run by configuring API credentials, secrets, webhooks, and health checks for production readiness.

Guided checklist for executing Clay integration deployments, covering pre-flight configuration, code quality, infrastructure, documentation, and controlled rollouts with monitoring and rollback steps for production launches.

Guides implementation of Clay reliability patterns—circuit breakers, idempotent retries, health tracking, and DLQs—to add resilience to production enrichment pipelines and prevent runaway costs in Clay integrations.

Provides production-ready Clay SDK patterns for TypeScript and Python, covering singletons, retries, structured error handling, and validation when building reliable Clay integrations.