Skill UI

This skill provides comprehensive observability tools for Groq API integrations. It instruments the client to track critical performance metrics such as Time to First Token (TTFT), total latency, token throughput, and estimated cost. Furthermore, it sets up Prometheus exporters and alert rules to monitor rate limit status and detect performance degradation in real-time, ensuring robust production monitoring.

An expert skill designed for writing, reviewing, and refactoring SwiftUI code for iOS and macOS. It provides deep insights into modern state management (@Observable), optimizing view composition, handling data flow, and improving performance. The skill also assists with interpreting Instruments traces and adhering to Apple's latest Human Interface Guidelines.

This advanced technique utilizes AFL++, a powerful fork of American Fuzzy Lop, to perform coverage-guided fuzzing on compiled binaries. It instruments targets and systematically mutates input data to explore deep, previously unreached code paths. Ideal for comprehensive security assessments, vulnerability discovery, and rigorous binary compatibility testing, it helps uncover crashes, memory corruption bugs, and security flaws.

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.

Provides comprehensive monitoring, metrics tracking, and alerting for all Figma API interactions. It instruments client calls to track key metrics like request latency, error rates, rate limit status, and cache performance. This solution ensures robust operational visibility, allowing developers to maintain high availability and stability for Figma integrations in production environments.

This skill produces comprehensive 360-degree feedback instruments or structured performance reports. It guides users through collecting multi-rater input across core competencies like leadership, communication, and execution. Ideal for performance reviews, professional development planning, and assessing employee impact. The output adheres to best practices, ensuring development-oriented and behaviorally anchored feedback.

This comprehensive guide details how to build a robust, ransomware-resilient backup architecture using the extended 3-2-1-1-0 methodology. It covers defining Recovery Point/Time Objectives (RPO/RTO), configuring multiple isolated copies (local, offsite, immutable/air-gapped), strictly isolating backup credentials, and automating regular restore testing. Essential for organizations requiring high cyber resilience against modern threats.

This guide provides expert principles for designing and auditing system-level experiments in computer architecture (e.g., for ASPLOS-level conferences). It details the proper usage of various instruments—from real silicon and FPGAs to cycle-level simulators and analytical models—ensuring that every claim is matched to a valid, stated error model. It emphasizes workload selection, establishing strong baselines, performing rigorous ablation studies, and honestly reporting measurement noise and limitations to maintain scientific credibility.

This guide outlines best practices for packaging research artifacts (prototypes, datasets, instruments, code) for academic review and permanent public release, particularly in HCI venues like CHI. It covers strategies for creating highly reviewable, anonymous submissions (e.g., claims maps, minimal demos) and establishing robust, licensed, permanent archives (e.g., DOIs, OSF), ensuring research reproducibility and auditability.

Provides comprehensive guidelines for researchers packaging and releasing artifacts (data, code, instruments) derived from real communities in CSCW research. It emphasizes ethical constraints, de-identification techniques (such as quote search and join attacks), and best practices for protecting studied communities' privacy, ensuring responsible sharing.

A comprehensive guide for advanced econometric techniques in causal inference, covering modern approaches for quasi-experimental designs such as staggered Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Double Machine Learning (DML). It details best practices, critical diagnostic tests (e.g., weak instruments, parallel trend checks, bias decomposition), and robust reporting standards required for high-impact economic research.