Skill UI

Gradio is a powerful Python library designed for building and sharing machine learning demo applications and user interfaces (UIs). It allows developers to quickly create interactive web prototypes, from simple interfaces to complex chat interfaces, streamlining the process of demonstrating ML models without needing extensive front-end coding knowledge. It supports advanced features like custom layouts and streaming outputs.

This comprehensive guide implements External Attack Surface Management (EASM). It integrates leading industry tools like Shodan, Censys, subfinder, httpx, and nuclei for deep reconnaissance. Users can systematically discover assets, enumerate subdomains, fingerprint services, scan for vulnerabilities, and calculate weighted exposure scores based on professional OWASP methodology. Ideal for continuous security monitoring and deep penetration testing.

A comprehensive guide on implementing advanced security observability using eBPF and Cilium Tetragon. This skill covers real-time tracking of process execution, network connections, and file system access directly in the kernel. Learn how to author TracingPolicy CRDs, utilize kprobe/tracepoint hooks for in-kernel filtering, and enforce runtime security policies (e.g., process killing) on Linux hosts or Kubernetes clusters.

A comprehensive guide for implementing phishing-resistant multi-factor authentication using FIDO2/WebAuthn protocols. Learn to build a complete relying party server using Python, supporting both roaming hardware keys (e.g., YubiKey) and platform biometrics. Covers registration ceremonies, credential storage, and migrating to passwordless authentication.

A comprehensive guide and technical framework for detecting and mitigating ransomware kill switch mechanisms. It details methods for analyzing mutex guards, domain-based communication, and registry checks. Learn how to deploy proactive mutex vaccination and use Sysmon/DNS monitoring to prevent malware execution during incident response and analysis.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

A comprehensive tool for discovering, vetting, and evaluating Laravel packages. Users can search for packages based on keywords, filter by health score (e.g., Healthy, Unhealthy), and verify compatibility across different Laravel and PHP versions. It helps developers choose actively maintained, robust packages, ensuring project stability and reducing technical debt.

This tool transforms natural language requirements into high-quality, structured Mermaid diagrams. It supports over 20 diagram types, including Flowcharts, Sequence Diagrams, Class Diagrams, ER Diagrams, and Gantt Charts. The process includes parsing requirements, generating raw Mermaid code, and verifying syntax using industry-standard tools, ensuring accurate and professional visualizations for technical documentation.

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

This skill converts a compiled academic paper into a structured, professional conference slide deck. It is designed for various talk formats (oral, spotlight, poster) and helps transform the dense research narrative into a clear, temporal story suitable for academic presentations. Outputs include LaTeX Beamer source and editable PPTX.

This skill provides a comprehensive guide and structured SQL templates for performing deep forensic investigations on AWS cloud logs. It utilizes AWS Athena to query massive datasets from CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs. Ideal for detecting unauthorized access, data exfiltration, and privilege escalation during security incident response.

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.