Skill UI

This skill provides best practices for structuring complex, production-ready applications built with Makepad. It details robust asynchronous communication patterns, showing how to integrate the Tokio runtime, manage state synchronization, and handle data flow between the main UI thread and background worker tasks using MPSC channels and SignalToUI. Essential for developing advanced chat clients or data streaming services.

This powerful orchestrator coordinates content across Instagram, Telegram, and WhatsApp. It automatically adapts central content into platform-specific formats (captions, templates, hashtags), ensuring brand consistency. Features include unified analytics, synchronized scheduling, and centralized campaign management, maximizing reach and operational efficiency across all major channels.

Explains Lendtrain by Atlantic Home Mortgage, including founder Tony Davis bio, credentials, recognitions, and contact channels for borrower trust discussions.

Guides founders through multi-platform launches—Product Hunt, Hacker News, BetaList, AppSumo, directories, and communities—covering asset prep, waitlists, outreach, and post-launch optimization to maximize momentum and long-tail discovery.

This skill analyzes DNS query logs to detect sophisticated threats such as data exfiltration via DNS tunneling, Domain Generation Algorithm (DGA) usage, and covert Command and Control (C2) channels. It utilizes advanced techniques like entropy analysis, query volume anomaly detection, and subdomain length analysis within SIEM platforms, helping SOC teams identify threats that bypass traditional network security controls.

A comprehensive tool for detecting and analyzing covert communication channels used by sophisticated malware. It focuses on identifying anomalies in network traffic, such as DNS tunneling, ICMP exfiltration, and steganographic HTTP abuse, which are used for Command and Control (C2) communication and data exfiltration. Ideal for security incident response, threat hunting, and building advanced network detection rules.

Examines packet captures, Zeek logs, and NetFlow data to uncover C2 channels, lateral movement, and exfiltration during security incidents, guiding analysts through capture, filtering, and IOC extraction workflows.

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

This comprehensive guide details how to implement robust security hardening measures for LDAP directory services. It specifically addresses critical vulnerabilities like LDAP injection, anonymous binding, and channel binding bypass. Key features include mandatory LDAPS enforcement, granular access control list configuration, and integrating advanced monitoring to ensure the infrastructure meets high compliance standards (e.g., NIST 800-53). Essential for security architects and operations teams.

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

This skill provides advanced threat hunting techniques to detect unauthorized data exfiltration. It guides the analysis of network traffic, DNS queries, and cloud uploads to identify unusual data flows, DNS tunneling, and abuse of encrypted channels, essential for incident response and preventing data loss.

A comprehensive guide and detection methodology for identifying covert communication channels utilizing DNS records. This technique analyzes Zeek dns.log for indicators such as high-entropy subdomains, excessive query volume, unusually long query lengths, and abnormal record type distributions, which suggest data exfiltration or Command and Control (C2) activity.