Skill UI

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

A comprehensive skill for managing AWS operational excellence, cost governance, and observability. It provides guidance on pre-deployment cost estimation (TCO), detailed spending analysis using Cost Explorer, setup of CloudWatch alarms, auditing activity via CloudTrail, and overall security posture assessment. Essential for optimizing cloud spending and ensuring reliable infrastructure.

This skill converts vague speed requests into a structured optimization process. It establishes a baseline, defines correctness gates, and iteratively tests variants against metrics like latency or cost. Each variant is benchmarked and validated before promotion, ensuring reproducible improvements without breaking functionality. Ideal for performance tuning, recursive optimization, and selecting the best implementation through measured tests.

Reads the active Claude Code session jsonl, tallies per-model token usage, computes USD cost using reference pricing, and persists a structured record to the cost-tracking AgentDB namespace for reporting and optimization.

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Use for running RFPs, analyzing tariffs, mitigating demand charges, assessing PPAs, building budgets, and responding to market volatility.

This comprehensive tool provides a deep audit of your entire marketing technology stack. It analyzes existing tools for functional gaps, redundancies, integration weaknesses, and cost inefficiencies. Use it when evaluating platform consolidation, planning digital transformation, or needing to optimize spend to maximize ROI and business growth.

This tool performs deep, multi-touch attribution analysis to calculate comprehensive Return on Investment (ROI), Return on Ad Spend (ROAS), and Customer Acquisition Cost (CAC) across all marketing channels. It supports various attribution models (e.g., linear, time-decay) and projects long-term value using LTV, providing data for budget optimization, executive reporting, and identifying efficiency gaps.

This workflow performs a comprehensive review against the Azure Well-Architected Framework (WAF) using your existing Infrastructure as Code (IaC) and deployed resources. It systematically checks the five pillars—Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency—identifying architectural risks, drift, and compliance gaps. Findings are automatically logged and converted into actionable GitHub issues for streamlined remediation.

This skill guides decision-making when resources (time, context, tools) are finite and the search space is infinite. It instructs the user to first establish a clear, explicit 'good enough' aspiration level. Once set, the process involves stopping at the first option that meets this threshold, preventing costly over-optimization and wasted effort.

Optimize multi-agent systems through coordinated profiling, workload distribution, and cost-aware orchestration. This skill helps improve agent performance, throughput, and reliability by identifying bottlenecks in workflows. It covers context window optimization, parallel execution strategies, and cost management for LLM usage. Suitable for engineering complex AI workflows requiring high efficiency and stability.

Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls. Covers LLM integration patterns, RAG architecture, scalable prompt engineering, trustworthy AI UX, and cost optimization strategies for sustainable AI implementation in production environments.

Expert guidance for building successful AI wrapper products that solve specific problems and generate revenue. Covers product strategy, prompt engineering, cost optimization, model selection, AI UX, and usage metering. Ideal for developers and entrepreneurs creating AI-powered SaaS tools.