Skill UI

This comprehensive tool generates high-quality Mermaid diagram code (including flowcharts, sequence diagrams, ER diagrams, etc.) directly from natural language user requirements. It handles complex structured output, mandatory syntax validation using dedicated CLI tools, and detailed visual review to ensure the accuracy of all components and connections.

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 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 sophisticated tool generates publication-quality AI illustrations and diagrams for academic papers. It implements a multi-stage, iterative workflow, using advanced LLMs (like Claude and Gemini) to parse user requests, optimize complex layouts, verify academic styling (e.g., CVPR/NeurIPS standards), and render high-fidelity figures. Ideal for researchers needing professional, complex visuals for their manuscripts.

NOTE: This skill is DEPRECATED and should no longer be used for creating new posters. The functionality has been superseded by /paper-poster-html. Users must immediately migrate to the new HTML/CSS pipeline for accurate, measurement-gated poster generation, avoiding the legacy LaTeX flow.

This skill automatically generates professional, structured conference presentation slides (PDF/PPTX) from a compiled academic paper. It intelligently adapts the content depth and slide count based on the specified talk type (e.g., oral, spotlight) and duration. Users can also optionally guide the structural rhythm of the talk by referencing another source paper's style.

This skill uses advanced AI and LLM capabilities to correlate fragmented Open Source Intelligence (OSINT) data. It ingests findings from diverse sources—including username enumeration, email lookups, social media, domain records, and breach databases—to generate unified, intelligence-grade profiles. It provides link analysis and confidence scoring, transforming raw data into actionable threat intelligence for target profiling.

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.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

This comprehensive skill provides a systematic framework for performing deep security assessments on iOS applications. It covers static analysis of IPA packages, dynamic instrumentation using Frida and Objection, SSL pinning bypass for traffic interception, extraction and auditing of sensitive data from the Keychain, and runtime method hooking. Use this for authorized penetration testing against standards like OWASP MASTG.

Assesses organizational readiness for migrating cryptographic systems to post-quantum standards (PQC), aligning with NIST guidelines. The tool performs comprehensive cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA) and evaluates the feasibility of implementing hybrid TLS configurations using standards like ML-KEM and ML-DSA. Essential for implementing crypto-agility across enterprise infrastructure.

This tool automates the entire Privacy Impact Assessment (PIA) workflow. It systematically maps data flows, calculates privacy risk scores using established matrices (NIST PRAM, ICO DPIA), and checks compliance against major regulations like GDPR and CCPA/CPRA. It is essential for organizations launching new systems or preparing for regulatory audits to ensure data privacy compliance.