Skill UI

A comprehensive, adaptive framework for developing and implementing features, adhering to a strict, multi-phase workflow: Specify, Design, Tasks, and Execute. This skill ensures feature quality through granular task breakdown, atomic Git commits, requirement traceability, and mandatory, independent verification. It automatically adjusts its depth based on feature complexity (Small to Complex), providing a robust mechanism for managing technical debt and capturing project lessons.

This comprehensive tool manages all aspects of a brand's identity, including voice, visual standards, messaging frameworks, and asset management. It helps teams maintain brand integrity by synchronizing guidelines (e.g., markdown) into actionable digital tokens (JSON/CSS) and validating assets, ensuring all content and designs adhere to established rules and standards.

A comprehensive, all-in-one design skill covering the entire creative lifecycle. Features include building brand identity, defining design tokens, UI styling with Tailwind/shadcn/ui, sophisticated logo generation (AI-powered), Corporate Identity Program (CIP) mockups, professional pitch decks, multi-platform banner design, and social media image creation. It acts as a unified hub for professional graphic and digital assets.

Velociraptor is an open-source platform providing deep endpoint visibility and digital forensics capabilities. It enables security teams to deploy VQL-based 'Hunts' across large fleets of endpoints, allowing for remote threat hunting, incident response, and continuous monitoring of system artifacts.

Hayabusa is a Sigma-based tool for fast digital forensics and incident response. It analyzes multiple Windows EVTX event logs, applying a comprehensive library of Sigma rules to detect suspicious activity. The output is a single, chronologically ordered timeline, complete with severity levels, MITRE ATT&CK mapping, and evidence summaries, streamlining the triage process for security analysts.

Chainsaw is a fast, Rust-based tool for digital forensics and threat hunting. It enables analysts to rapidly perform Sigma rule checks and keyword searches across collected Windows Event Logs (.evtx) and specialized artifacts (like shimcache and SRUM). Ideal for first-response and offline analysis, it provides detection capabilities without needing a SIEM ingestion pipeline, allowing quick hypothesis testing in the field or air-gapped environments.

This comprehensive tool suite provides high-fidelity parsers for key Windows artifacts, including MFT, Registry hives, Prefetch files, and ShellBags. Designed for digital forensics and incident response, it converts raw system evidence into structured CSV/JSON formats. The output is optimized for feeding into Timeline Explorer, enabling analysts to build comprehensive, correlated timelines and establish a clear chain of events.

KAPE is a powerful, Windows-native triage tool used for Digital Forensics and Incident Response (DFIR). It executes in two phases: 'Targets' collect raw forensic artifacts (like registry hives, event logs, and prefetch files) from live systems, while 'Modules' parse this collected data into normalized, analyst-ready CSV/JSON formats. It enables fast, defensible, and scalable artifact collection, especially when full disk imaging is impractical.

This skill allows users to upload local images (like screenshots or before/after comparisons) directly to GitHub using the CLI. Since GitHub lacks a public API for uploads, this tool replicates the web UI's internal process, generating canonical, embeddable user-attachments URLs for seamless use in PR descriptions, issues, and comments from the terminal.

A specialized diagnostic skill designed to analyze failing GitHub Actions workflow logs. It identifies the root cause of crashes, such as missing secrets, environment mismatches, or deprecated syntax. The output provides precise YAML or code diffs required to fix the pipeline and optimize CI/CD processes.