Skill UI

Qiskit is the world's leading open-source framework for building, optimizing, and executing quantum circuits. It provides comprehensive capabilities for quantum error mitigation, running algorithms on diverse hardware backends (including IBM Quantum and simulators), and supporting applications in chemistry and machine learning. Essential for researchers entering the quantum computing field.

This skill monitors the performance of Claude Code and the local operating system. It diagnoses slowdowns, measures CPU/RAM/Disk usage, checks API latency, and generates detailed system health reports. It helps determine if the bottleneck is local hardware or the remote API connection, providing actionable corrective suggestions to improve the development workflow.

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.

A comprehensive guide for creating forensically sound, bit-for-bit disk images of suspect drives using standard tools like dd and specialized forensic tools like dcfldd. It emphasizes best practices including hardware write-blocking, pre-acquisition hashing, and post-acquisition integrity verification to maintain the chain of custody for legal evidence.

This skill provides a comprehensive guide to configuring Hardware Security Modules (HSMs) using the industry-standard PKCS#11 interface. It details best practices for key generation, secure key storage, and cryptographic operations (signing, encryption, decryption). Learn how to manage keys in a tamper-resistant environment, ensuring private keys never leave the device boundary. Applicable for building compliance-grade security architectures across finance and government sectors.

This skill automates the entire iterative process of Design Space Exploration (DSE), primarily for computer architecture and EDA problems. It executes complex programs, analyzes resulting objective metrics, and intelligently tunes input parameters (e.g., cache size, pipeline width, optimization passes). It continues iterating until a predefined objective is met or a timeout is reached, making it ideal for optimizing complex system and hardware configurations.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This skill demonstrates how to integrate Hardware Security Modules (HSMs) using the standard PKCS#11 interface. It covers secure key generation, signing, encryption, and verification operations directly on the hardware. Ideal for security assessments, compliance audits (FIPS 140-2/3), and validating cryptographic controls using tools like python-pkcs11, AWS CloudHSM, and YubiHSM2.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This skill is designed for running comprehensive evaluations of Hugging Face Hub models on local hardware. It supports multiple evaluation frameworks, including `inspect-ai` and `lighteval`, and provides flexibility in backend selection (e.g., `vllm`, Transformers, or `accelerate`) to optimize for performance and compatibility. Use this for local GPU benchmarking, smoke testing, and backend selection, but note that it does not handle remote job orchestration or result publishing.

This guide details establishing confidential computing environments using AWS Nitro Enclaves for hardware-level isolation. It covers building secure enclaves for sensitive data (PII, PHI), configuring cryptographic attestation workflows, and integrating KMS policies using PCR-based conditions. Learn to harden workloads by moving secret decryption into isolated, verifiable hardware boundaries.

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.