Skill UI

This skill simulates security incidents using discussion-based tabletop exercises for Security Operations Center (SOC) teams. It is designed to test incident response procedures, evaluate cross-functional communication workflows (e.g., Legal, PR, Executive), and assess decision-making capabilities under pressure, all without touching production environments. Ideal for compliance validation, playbook refinement, and comprehensive team training.

A structured guide for SOC Tier 1 analysts to triage security alerts within Splunk Enterprise Security (ES). It provides a systematic workflow for classifying severity, investigating notable events, correlating evidence across diverse data sources (proxy, firewall, logs), and making clear disposition decisions (True Positive, False Positive) required for escalation or closure.

This skill applies principles of behavioral psychology and choice architecture to redesign user experience (UX) flows. It is used when a product's conversion friction is rooted in interaction design, not just copy. By auditing cognitive load, defining optimal default paths, and inserting strategic commitment points, it guides users toward desired actions ethically, maximizing commitment while preserving autonomy. Ideal for improving onboarding, checkout funnels, and complex decision-making sequences.

This tool guides the creation of actionable monitoring dashboards for observability platforms like Grafana and SigNoz. Instead of merely displaying raw metrics, it focuses on structuring data to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What changes occurred? And what action should be taken? It transforms raw metrics into decision-making tools.

This skill provides a comprehensive framework for measuring Go application performance. It guides users through writing robust benchmarks using `testing.B`, running tests with various flags (`-benchmem`, `-cpuprofile`), interpreting complex profiling data (pprof), statistically comparing results using tools like `benchstat`, and setting up CI regression detection. It is essential for deep performance analysis and making statistically sound optimization decisions.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.

A comprehensive framework for structuring meetings, defining metric reporting, and managing decision-making velocity in rapidly scaling companies. It addresses common growth pains like misalignment, ineffective leadership meetings, and slow planning cycles by establishing a five-level meeting architecture and weekly health dashboards. Ideal for companies transitioning from startup to enterprise stage.

This expert tool guides users through rigorous statistical analysis, specializing in A/B testing, hypothesis testing, and interpreting experimental results. It helps define sample sizes, executes appropriate tests (Z-test, T-test, Chi-square), and critically distinguishes between 'statistical significance' and 'practical significance' to ensure data-driven decision-making for product and business strategy.

A comprehensive academic advisor covering the entire university journey. It guides students through major selection, GPA management, graduate school applications (Chinese and Western systems), study abroad planning, and career transition. Methodology includes Socratic questioning and structured decision-making to help users make informed, autonomous academic choices.

This advanced tool utilizes the Digital Human DNA (DHDNA) framework to extract a comprehensive cognitive signature from any piece of text. It analyzes the author's unique thinking patterns, reasoning methods, decision-making styles, and core values across 12 detailed dimensions (e.g., Analytical Depth, Ethical Reasoning, Emotional Processing). It provides a structured profile, revealing the topology of the mind behind the writing, without judgment.

A comprehensive runbook for rapid incident response to Figma REST API failures. It guides users through quick triage (checking status, authentication, rate limits), decision-making based on error codes (403, 429, 500), applying immediate mitigation strategies (token rotation, fallback modes), and completing thorough postmortem documentation.

This specialized skill provides a robust framework for tracking and updating financial investment signals. It systematically assesses the impact of new market information—such as breaking news or price movements—on existing investment theses. The system determines if a signal is Strengthened, Weakened, Falsified, or Unchanged, providing a crucial layer of continuous signal validation for sophisticated financial decision-making.