Skill UI

This skill generates a comprehensive Technology Radar document following the ThoughtWorks format. It provides a structured framework for an engineering team to evaluate and categorize all significant technologies (tools, languages, platforms, techniques) into four quadrants (Adopt, Trial, Assess, Hold). It helps establish a shared, explicit technology strategy, detailing adoption rationales, decision trails, and maintenance processes for consistent engineering choices.

This skill generates a comprehensive technical debt register for any team or service. It guides users to input critical data points (e.g., business impact, effort, tech stack) and produces a structured report that categorizes debt (Architecture, Security, Testing, etc.). The output includes a calculated priority score and a quarterly debt reduction roadmap, enabling deliberate, business-aware engineering decision-making.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.

This skill automates end-to-end (E2E) functional testing for Android applications. It parses an XML specification defining a multi-step user 'journey.' The executor sequentially performs interactive UI actions (taps, swipes, text input) using ADB commands and verifies application states through assertions. It outputs a detailed, standardized JSON report, making it ideal for robust CI/CD integration and quality assurance.

Master the end-to-end process of creating Power BI paginated reports using the RDL format. This skill provides guidance on developing print-faithful, multi-page documents like invoices and statements. It covers initial requirements interviews, understanding the core RDL XML structure, best practices for validation, and the critical final rendering and publishing steps in the Power BI Service or Fabric.

Automatically generates a comprehensive, tabbed status page (artifact) for large-scale, multi-workstream projects. Ideal for tracking long-running initiatives like software migrations or major launches, providing a single source of truth covering background, plan, risks, and decisions. It generates a shareable, self-contained HTML page and supports delta reporting for easy updates.

This skill conducts deep, structured competitor analysis using Browserbase's advanced discovery and enrichment tools. It generates a comprehensive HTML report that includes market overviews, detailed per-competitor deep dives (covering marketing, social, news, and technical aspects), side-by-side feature/pricing matrices, and comparative mentions feeds. Ideal for market researchers, product managers, and strategists needing actionable competitive intelligence.

This skill scaffolds the necessary configurations for advanced engineering workflows. It guides the user through setting up the issue tracking system (GitHub, GitLab, or local markdown), defining the canonical triage label vocabulary, and establishing the domain documentation context (single or multi-context). It must be run once to initialize the repository for subsequent agent-driven development skills.

This methodology guides organizations through a comprehensive cybersecurity risk assessment using the NIST SP 800-30 framework. It systematically identifies threat sources, vulnerabilities, and potential threat events. By determining the likelihood and impact of these threats, the process calculates overall risk, resulting in a prioritized, defensible risk register. Essential for compliance (e.g., ISO 27001, HIPAA), system authorization, and strategic risk reporting.

This skill automates the entire phishing incident response workflow using the Splunk SOAR REST API. It parses suspicious email headers and bodies to extract artifacts (URLs, IPs, sender details), creates a structured incident container, triggers a comprehensive automated investigation playbook, and compiles a final verdict report for security teams.

This guide outlines a comprehensive workflow for detecting and preventing the exposure of sensitive AWS credentials (access keys, session tokens) within source code repositories, CI/CD pipelines, and configuration files. It utilizes TruffleHog for deep historical scanning and integrates git-secrets for robust pre-commit hooks, significantly reducing the risk of credential theft and unauthorized account access.

An AI assistant for generating and analyzing Chinese Bazi (Four Pillars) and Ziwei Dou Shu charts using precise algorithms, supporting individual analysis, cross-validation, and structured report generation.