Skill UI

Guides chaos engineering experiments by defining objectives, choosing tools such as Chaos Mesh, Gremlin, Toxiproxy, or AWS FIS, injecting failures, monitoring metrics, and recommending fixes to harden services and APIs.

This skill provides comprehensive management for the entire track lifecycle within a Conductor system. It allows users to perform critical operations such as archiving, restoring, deleting, renaming tracks, and cleaning up orphaned artifacts. Use it when managing track status across active, completed, or archived states to ensure data integrity and system organization.

This skill is designed to configure a Rails project workspace to function correctly within Conductor, a platform for parallel coding agents. It sets up the necessary scaffolding, including `conductor.json`, executable setup scripts, and server scripts. Additionally, it updates critical Rails configuration files (such as Sidekiq, Cable, and development environment settings) to ensure proper environment variable handling, Redis isolation, and port management for reliable parallel agent execution.

This skill provides a comprehensive, actionable overview of the Conductor project's status. It aggregates information from project plans, active tracks, and detailed specifications to display overall progress, identify next critical tasks, and flag potential blockers. Use it when you need a high-level dashboard view of project health and required actions.

Automates configuration reference generation within technical documentation, offering guidance, best practices, and production-ready code while validating outputs against standards to support API docs, user guides, architecture docs, and automation workflows.

Interactive wizard that walks through cloning the Everything Claude Code repo, guiding selective installation of skills and rules, validating targets, and optimizing files for user-level, project-level, or hybrid deployments while surfacing warnings for missing shared rules.

Generates production-ready auto-scaling configurations for apps and infrastructure, covering Kubernetes HPAs and scaling policies so you can handle load spikes, enforce high availability, and keep resource usage efficient.

Generate production-ready load balancer configurations for ALB, NLB, Nginx, or HAProxy based on requirements, and provide ready-to-deploy files for DevOps automation.

Automates Istio and Linkerd configuration for microservices, generating production-ready manifests and setup code tailored to your infrastructure, emphasizing security, observability, and traffic management best practices.

Handles Confluence page search, creation, updates, space listings, and comments through Atlassian MCP tools; enforces Markdown bodies, natural-language Rovo Search, and Cloud ID/URL detection before any operation.

Automated guidance for Confluence page generator tasks within enterprise workflows, delivering best-practice patterns plus production-ready code and configuration validation.

Assists ML Training workflows by automatically activating on confusion matrix generator requests, offering structured guidance, best-practice checks, and ready-to-use code snippets.