Skill UI

This guide serves as an expert resource for designing, optimizing, and measuring viral growth programs, including customer referral and affiliate schemes. It covers everything from identifying ideal trigger moments and selecting the best incentive structure (single-sided vs. double-sided) to setting up comprehensive launch checklists and tracking key metrics like LTV and CAC. Use this to turn existing customers into powerful growth engines.

This comprehensive guide provides expert knowledge on implementing structured data and schema markup using schema.org standards. Learn how to correctly use JSON-LD to help search engines understand your content, enabling rich results like star ratings, FAQs, and product details. It covers best practices, common schema types (Article, Product, FAQPage), and essential validation methods for maximizing search visibility.

This tool simulates the rigorous interrogation process of a SOC 2 Type II auditor, forcing readiness checks across six critical observation-period questions. It is designed for use at key audit checkpoints—including pre-observation, mid-cycle review, and pre-field-test—to proactively identify compliance gaps in areas like scope definition, control consistency, change management, and exception handling. Essential for maintaining continuous compliance and demonstrating operational maturity.

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

TokenWise is an advanced skill for Claude Code that automatically routes coding subtasks to the most cost-effective model (Haiku, Sonnet, or Opus). It logs every task's token usage and real cost, allowing users to audit spending and perform A/B tests to validate model tier efficiency, ensuring cost savings without sacrificing quality.

This guide provides a comprehensive framework for authoring new, structured AI agent skills. It details a three-phase workflow, including gathering requirements, drafting the main instructions (SKILL.md), and ensuring optimal structure. It emphasizes best practices for descriptions, scripting, and file splitting to improve agent reliability and usability.