Skill UI

A comprehensive collection of six expert-level, structured workflows designed to elevate AI assistance from ad-hoc querying to repeatable, production-grade engineering practices. Users can evaluate prompts, design RAG architectures, plan context budgets, run security audits, build eval harnesses, and coach product strategy.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

This comprehensive guide details the professional workflow for performing digital forensic analysis on disk images using Autopsy and The Sleuth Kit. It covers environment setup, data source ingestion, recovering deleted files, extracting critical metadata (EXIF, MFT timestamps), and performing advanced keyword searches to build a complete investigative timeline and detailed case report.

A comprehensive guide and workflow for investigating compromised Docker containers. This tool assists digital forensic experts in analyzing layers, volumes, logs, runtime artifacts, and host configurations to identify malicious activity, privilege escalation attempts, and system breaches during incident response.

A comprehensive guide and workflow for digital forensics investigators to analyze raw email headers. This tool helps trace the true origin of suspicious emails, verify sender authenticity, and detect advanced spoofing techniques by validating crucial protocols like SPF, DKIM, and DMARC. It covers everything from header parsing to domain infrastructure analysis and IP reputation checks.

This skill provides a comprehensive workflow for reverse engineering Go-compiled malware using Ghidra. It focuses on overcoming Go-specific binary challenges, such as non-null-terminated strings, complex metadata structures (pclntab), and function name recovery in stripped binaries. Users can extract build information, reconstruct dependencies, and analyze malicious capabilities essential for threat intelligence and incident response.

This skill provides a comprehensive workflow for detecting and analyzing malware persistence mechanisms on Windows systems. It automates the use of Sysinternals Autoruns via scripting to scan hundreds of Auto-Start Extensibility Points (ASEPs), including registry keys, services, scheduled tasks, and drivers. The process flags suspicious entries like unsigned binaries, suspicious paths, or dangerous command-line arguments, making it an essential tool for security incident response and threat hunting.

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.

This skill provides a comprehensive workflow for identifying, unpacking, and analyzing packed malware samples, especially those utilizing the UPX format. It details methods for standard UPX decompression and advanced techniques for repairing modified PE headers or magic bytes that prevent automated extraction. The process supports preparing samples for deep static analysis and dynamic debugging.

This guide provides a comprehensive workflow for deep digital forensics examination of NTFS volumes. It covers recovering hidden data from file system slack space, analyzing MFT entries for deleted metadata, reconstructing file actions using the USN Journal, and detecting hidden content via Alternate Data Streams (ADS). Essential for incident response and evidence recovery.

A specialized tool and workflow for investigating supply chain attacks. It helps security analysts analyze compromised software updates, trojanized binaries, and dependency artifacts by comparing legitimate versions against suspect files. Key functions include binary diffing, identifying injected code, and documenting code signing anomalies to determine the scope of a security breach.