Skill UI

This guide provides expert strategies for designing comprehensive SaaS pricing models and monetization strategies. It covers value-based pricing, selecting optimal value metrics (e.g., per user, per usage), structuring tiered plans (Good-Better-Best), and conducting market research using methods like Van Westendorp. Use this when optimizing revenue, designing packaging, or determining how to charge for a product or service.

This skill automatically routes subtasks to the most cost-effective Claude model (Haiku, Sonnet, or Opus) based on complexity. It logs real token usage and cost per session, and includes an A/B testing feature to validate model tier savings against your actual workload, ensuring accurate cost control.

A comprehensive skill for commercial teams, product marketers, and CMOs designing or revising product pricing. It helps determine the optimal pricing model (e.g., usage-based, subscription, value-based), calculates acceptable price ranges using Van Westendorp PSM data, and structures effective Good/Better/Best packaging tiers. It provides strategic direction and risk detection, recommending models and ranges rather than fixed numbers.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.

This tool generates comprehensive weekly telemetry reports for the Azure Backup MCP toolset. It queries live production data from Kusto, performing advanced error analysis and classifying failures into three categories: Customer error, Azure Service failure, or MCP Tool Bug. The report correlates usage metrics with merged PRs and releases, producing an Outlook-compatible HTML summary for assessing tool health and stability.

A lightweight, read-only utility that analyzes past skill usage from decision logs. It aggregates skill co-occurrence frequencies, tracks meta-skill usage statistics, and surfaces router fixture data. The resulting JSON summary is highly structured and ideal for downstream LLM consumption, enabling users to understand their workflow patterns and most frequently used skills over time.

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.

This tool traces the entire downstream dependency chain from a core semantic model to all connected reports and assets across multiple Fabric workspaces. Use it for crucial impact analysis before modifications, auditing model usage, or mapping cross-workspace data dependencies. It helps data stakeholders understand the full scope of influence a model has on the reporting layer.

Provides a structured, actionable review of Power BI reports across their entire lifecycle—from development to active use. The tool assesses report effectiveness, usage adoption, data performance (load times), and structural integrity. It generates a prioritized list of findings and concrete recommendations, helping users determine if reports are worth maintaining, optimizing, or retiring.

A comprehensive guide to the Tabular Editor 2 command-line interface (CLI). It provides essential syntax and usage examples for automating data model management. Key functions include deploying models to XMLA endpoints, executing inline C# scripts, running Best Practice Analyzer (BPA), validating schemas, and integrating model processes into CI/CD pipelines in Windows environments.

A comprehensive guide to writing idiomatic and efficient Elixir code. Covers advanced topics like Pattern Matching, the Pipe Operator, OTP process management, robust error handling using tagged tuples, and efficient collection usage (Streams and comprehensions). Essential reading for intermediate to advanced Elixir developers aiming for production-grade stability.