Skill UI

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

Query the PrimeKG precision medicine knowledge graph to explore genes, drugs, diseases, phenotypes, and their relationships, supporting drug discovery, repurposing, and phenotype analysis through programmatic scripts.

Use Memories.ai’s LVMM to discover, summarize, and analyze TikTok, YouTube, Instagram, or Vimeo content, then build searchable knowledge bases, meeting notes, and competitive insights from video libraries.

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.

Search, import, and analyze TikTok, YouTube, and Instagram content via Memories.ai LVMM, indexing videos once for repeatable Q&A, summarization, social research, and searchable knowledge-base building backed by MAG.

An expert guide for deploying and optimizing Large Language Models (LLMs) entirely on local hardware. Mastering the entire local AI ecosystem, including inference engines like Ollama, vLLM, and llama.cpp. Provides deep knowledge on quantization formats (GGUF, EXL2, AWQ), VRAM calculation, and ensuring privacy-first, offline deployment for state-of-the-art models.

Hindsight is an open-source tool designed for digital forensics, parsing artifacts from various Chromium-based browsers (Chrome, Edge, Brave, etc.). It extracts and correlates all web activity data, including browsing history, cookies, cached content, downloads, and saved credentials, into a unified timeline. This tool is essential for incident response, insider threat investigations, and reconstructing user web activity in security and legal contexts.

A comprehensive guide for implementing enterprise-grade Security Access Service Edge (SASE) architectures using Palo Alto Networks Prisma Access. This skill covers configuring ZTNA connectors, GlobalProtect agents, security policies, and device posture checks (HIP) to provide unified, cloud-delivered security, replacing traditional VPNs and maintaining zero trust principles across remote and branch offices.

A comprehensive guide for digital forensics and incident response, detailing methods to extract and analyze critical web activity data. This includes history, cookies, cache, downloads, and bookmarks from major browsers like Chrome, Firefox, and Edge. Techniques involve utilizing SQLite querying and specialized tools on forensic images or live systems to establish a user's digital timeline.

A comprehensive guide for conducting hypothesis-driven threat hunting against supply chain compromises (T1195). This skill focuses on querying SIEM/EDR logs to detect indicators of trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. It is crucial when investigating suspected vendor compromises or scoping a build pipeline breach, requiring advanced knowledge of logging systems and threat intelligence.

This guide details the implementation of a robust, ransomware-resilient backup architecture following the extended 3-2-1-1-0 rule. It covers critical steps such as classifying assets, defining RPO/RTO, implementing immutable or air-gapped storage, and isolating backup credentials from the production domain. Use this knowledge to design a multilayered defense against data loss and ensure reliable recovery points.

This skill implements advanced cryptographic techniques, including the Schnorr identification protocol and a simplified Zero-Knowledge Password Proof (ZKPP). It enables a prover to authenticate by demonstrating knowledge of a secret without ever revealing the underlying password or private key to the server. Ideal for building secure, password-less systems or environments where server compliance mandates that user credentials are never stored or transmitted in plain form.