Skill UI

A comprehensive guide for deploying and optimizing the Windsurf AI IDE across large, complex organizations (50+ developers). Covers critical enterprise topics including monorepo partitioning strategies, managing workspace performance degradation, central configuration distribution, credit budgeting models, and necessary network/IT infrastructure whitelisting for seamless large-scale adoption.

Automates detection and deep exploratory analysis across 200+ scientific data formats, assessing quality, extracting metadata, and recommending visualizations while generating markdown reports that guide downstream workflows and highlight structure and distributions.

Seaborn is a powerful Python library for creating publication-quality statistical graphics. It is designed for dataset-oriented plotting, making it ideal for exploratory data analysis, multivariate analysis, and visualizing complex relationships, distributions, and comparisons with minimal code. It builds upon Matplotlib, offering high-level interfaces for functions like scatterplots, heatmaps, and pair plots.

This skill manages the strategic distribution of a single core idea across various social media platforms, including X, LinkedIn, Threads, and Bluesky. Instead of simply cross-posting the same content, it uses advanced content adaptation techniques to adjust the tone, format, and focus for each specific platform. This ensures the message remains consistent while optimizing for native platform constraints, preventing duplication and maximizing engagement.

Designs content-led go-to-market systems that reverse-engineer distribution, repurpose pillar content, and track attribution so every post, video, or newsletter feeds measurable revenue and pipeline growth.

This skill provides structured methods for detecting credential stuffing attacks by analyzing authentication logs. It focuses on identifying complex patterns such as login velocity anomalies, high IP diversity, password spray techniques, and suspicious geographical distributions of failed logins. It is essential for SOC analysts conducting threat hunting or building robust detection rules against account takeover attempts.

This skill establishes normal network communication patterns by analyzing historical NetFlow/IPFIX data. Utilizing Python pandas, it computes hourly/daily volume distributions, per-host statistics, and top-talker profiles. Anomalies are detected using sophisticated statistical methods like z-score and IQR, allowing SOC analysts to quickly identify deviations such as data exfiltration spikes, persistent beaconing, or unusual port usage.

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.

Automates deep packet inspection using tshark and pyshark on PCAP files. This tool is designed for cybersecurity professionals to perform structured network forensics, compute protocol distribution, detect suspicious activity (like port scans, beaconing, and data exfiltration), extract critical IOCs (IPs, domains, URLs), and identify advanced threats such as DNS tunneling patterns. Ideal for incident response and security auditing.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.

This skill guides the entire video content lifecycle, from initial strategy development to multi-platform distribution. Use it to define YouTube channel positioning, write viral short-form scripts (Reels, TikTok), or systematically repurpose long-form assets like podcasts and blogs into comprehensive video pipelines for maximum reach and authority building.

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.