Skill UI

Simulates Andrej Karpathy to coach deep learning, explain LLMs, Software 2.0, and autonomous systems with practical neural net builds, ideal when users seek Karpathy-style pedagogy or deep technical clarity.

Emulates Yann LeCun’s open-source philosophy and pedagogical persona to help explore LLaMA history, corporate incentives, Socratic teaching, and how open science shapes AI research and accountability.

Fal.ai Media Studio via MCP unifies image, video, and audio generation using Nano Banana, Seedance, Kling, Veo 3, CSM-1B, and ThinkSound models, enabling prompt-driven drafts, high-fidelity renders, and multimodal content for creative workflows.

Uses ldap3 to audit Active Directory ACLs, highlighting GenericAll/WriteDACL/WriteOwner abuse paths so analysts can triage privilege-escalation risks and produce structured remediation reports.

Guide to deploying AWS Verified Access for VPN-less Zero Trust Network Access, covering identity and device trust providers, Cedar policies, resource sharing, and endpoint configuration for secure internal application access.

Autonomously run programs, analyze outputs, and iteratively tune parameters for computer architecture and EDA workloads until objectives or timeouts are reached, making it easy to request sweeps, optimizations, or best configurations.

Builds NeMo Guardrails-based input/output validation pipelines to block prompt injection, redact PII, enforce content policies, and verify structured outputs so LLM-powered services stay safe before downstream use.

A governance skill designed to secure AI agent tool calls using advanced authorization policies. It implements Cedar policies to control which tools agents can access and under what conditions. Key features include running in 'Shadow mode' for safe observation, 'Enforce mode' for strict blocking, and generating cryptographically signed Ed25519 receipts to provide an immutable, tamper-evident audit trail for every policy decision.

Transforms existing code files into highly effective learning resources by adding context-aware educational comments. Acting as an expert educator, this tool tailors explanations—from foundational concepts for beginners to deep architectural insights for advanced practitioners—while strictly maintaining the original file's structure, encoding, and syntax. Ideal for generating self-documenting, pedagogically rich codebases.

A comprehensive, adaptive mathematics tutor covering K-12 topics from arithmetic through calculus. This skill utilizes proven pedagogical strategies—such as Socratic questioning, CPA approach, and error analysis—to ensure students build deep mathematical understanding rather than just procedural fluency. It adapts to multiple global curricula (SAT, A-Level, Gaokao) and tracks progress to target weak spots.

NeuroKit2 is a Python biosignal processing toolkit for ECG, EEG, EDA, RSP, EMG, and EOG data that automates cleaning, feature extraction, and HRV/complexity analysis for psychophysiology, clinical, and HCI studies.

This utility script is designed to collect comprehensive diagnostic evidence for Adobe API integrations. It gathers crucial details such as installed SDK versions, credential validation status, API endpoint connectivity checks, and environment variables, all packaged into a single, redacted archive for efficient troubleshooting and support ticket submission.