Skill UI

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

This skill provides expert guidance for Site Reliability Engineering (SRE) incident response. It covers rapid problem resolution, modern observability practices, and comprehensive incident management workflows. Use it for assessing severity, establishing command structures, stabilizing systems, investigating root causes using distributed tracing and metrics, communicating with stakeholders, and conducting blameless post-mortems to improve system resilience.

Comprehensive patterns for designing effective KPI dashboards that drive business decisions, covering frameworks, department metrics, layouts, and governance.

Master comprehensive evaluation strategies for LLM applications, covering automated metrics like BLEU and ROUGE, human evaluation dimensions, and LLM-as-Judge patterns. This skill helps measure performance, compare models, detect regressions, and validate prompt improvements. Includes Python implementation examples for metrics and evaluation suites.

This skill enables horizontal scaling of Large Language Model inference clusters on Kubernetes. It utilizes KEDA for event-driven autoscaling based on custom GPU metrics like request queues and cache usage. The guide covers deploying vLLM on GPU nodes, configuring Prometheus for monitoring, implementing spot instance strategies for cost efficiency, and setting up queue-based scaling for batch jobs. It ensures optimal resource utilization and cost management for high-traffic AI workloads.

Automated visual tuning: a vision or video model rates rendered variants in a loop. Render labeled variants into one artifact, ask the model to rate them and suggest better values, render suggestions, pick the best, repeat until good. Ideal for aesthetics, timing, layout, color grading, and other subjective visual parameters without numeric metrics.

A comprehensive automation toolkit for managing and executing Mailchimp email marketing workflows. It allows users to programmatically create, set content for, and send campaigns; manage entire audiences and lists; perform detailed subscriber lifecycle operations (add, update, segment); and analyze performance metrics. Ideal for marketing automation specialists and developers needing structured API access to Mailchimp. *Prerequisites include Rube MCP connectivity.*

Configure New Relic for full-stack observability: install infrastructure agents on Linux, Docker and Kubernetes, integrate APM agents for Node.js, Python, Java and Go, add custom events, metrics and spans, and write NRQL queries for dashboards and alerts.

This skill assists in implementing comprehensive monitoring solutions including metrics collection, distributed tracing, and log aggregation. It guides you in creating insightful dashboards for system health visibility, establishing alerting strategies, and defining SLOs to reduce MTTR and enable proactive issue detection in production environments.

This skill helps you design comprehensive SLO frameworks and establish meaningful SLIs for service reliability. It focuses on creating monitoring systems that balance reliability with feature velocity using error budget-based engineering practices. Ideal for defining reliability targets, building dashboards, and aligning technical metrics with business priorities.

Implement vendor-neutral observability using OpenTelemetry standards for traces, metrics, and logs. Configure collectors, set up Kubernetes deployments, and instrument Python services. Supports Prometheus, Jaeger, and Loki backends. Essential for unified monitoring in microservices and infrastructure environments.

API-first control plane for reply-aware cold outbound email workflows, managing inboxes, contacts, templates, sequences, approvals, pacing, webhooks, and delivery metrics for AI agents.