Skill UI

A comprehensive guide to modern React UI patterns. It covers best practices for managing application states, including determining when to use skeleton loaders vs. spinners, implementing robust error handling hierarchies (inline, toast, banner), and designing effective empty states. Essential for building high-quality, user-friendly components that handle asynchronous data gracefully.

A practical decision framework for determining whether to use regular expressions or Large Language Models (LLMs) when parsing structured text (e.g., forms, quizzes, invoices). It recommends starting with deterministic, low-cost regex for 95-98% of structured data, and only invoking expensive LLM calls for identifying and validating ambiguous edge cases, optimizing both cost and accuracy.

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

This skill detects covert data exfiltration occurring over DNS tunnels. It analyzes DNS query names by computing Shannon entropy, examining query length distributions, and identifying high subdomain cardinality. It is essential for security operations, incident response, and proactive threat hunting when suspicious or encoded DNS activity is suspected.

This skill guides comprehensive digital forensics investigations on compromised endpoints. It covers evidence collection (memory acquisition, disk imaging) and deep artifact analysis, including volatile data, MFT records, and prefetch files. Use it for incident response, legal evidence collection, and determining the scope of a breach by reconstructing attacker timelines.

A comprehensive guide for performing security assessments to identify various forms of sensitive data exposure, such as leaked API keys, PII in API responses, insecure client-side storage, and unprotected data transmission. This workflow covers scanning JavaScript files, analyzing API responses, verifying data encryption, and examining browser storage.

Provides comprehensive guidance on determining the optimal scaling strategy for Qdrant vector databases. Covers when to transition from vertical to horizontal scaling, how to select the right number of nodes and shards, and best practices for setting replication factors to ensure zero-downtime operation and fault tolerance. Also details proper shard management and common scaling pitfalls to avoid.

This guide helps users select and implement the optimal architecture pattern for Salesforce integrations. It compares three main approaches: simple Direct API polling, highly scalable Event-Driven using Change Data Capture (CDC), and complex Enterprise Middleware/iPaaS solutions. Use this when designing new integrations, planning data migration, or determining the best sync method based on data volume, latency, and complexity requirements.

This router serves as the main entry point for comprehensive injection testing. It helps security professionals classify dangerous input flows—such as XSS, SQLi, SSRF, XXE, etc.—by determining the final sink or interpreter (e.g., browser context, database, XML parser, shell). Use it when unsure which specific injection vector to prioritize.

A practical decision framework for determining whether to use regular expressions or Large Language Models (LLMs) when parsing structured text (e.g., forms, quizzes, invoices). It recommends starting with deterministic, low-cost regex for 95-98% of structured data, and only invoking expensive LLM calls for identifying and validating ambiguous edge cases, optimizing both cost and accuracy.

Generate executive-ready summaries of marketing performance, focusing on strategic business metrics like ROI, CAC, and LTV. This tool synthesizes complex data across single brands or entire portfolios into actionable, high-level insights. Use it when preparing board reports, assessing portfolio ROI, or determining strategic direction for C-suite decision-makers (CEO, CMO, Board).

This tool identifies, models, and optimizes compounding growth loops (e.g., viral, content, data, paid) within a business. By analyzing key metrics, calculating amplification factors, and determining cycle times, it pinpoints growth bottlenecks and proposes actionable strategies, ensuring sustainable and scalable business expansion.