Skill UI

A comprehensive guide detailing the entire workflow for analyzing embedded firmware. It covers hardware-level extraction methods (UART, JTAG, SPI dump), filesystem analysis (SquashFS, JFFS2), binary reverse engineering using tools like Ghidra, and identifying common vulnerabilities (Buffer Overflow, Command Injection). Ideal for security researchers and embedded systems engineers.

torchforge is Meta's advanced PyTorch-native library designed for agentic Reinforcement Learning (RL). It fundamentally separates core RL algorithms from complex distributed infrastructure concerns. This allows researchers to rapidly prototype and experiment with novel RL methods (like GRPO) using clean, PyTorch-native abstractions, while automatically handling large-scale tasks like distributed training across thousands of GPUs using Monarch and TorchTitan.

QuTiP is a Python toolbox for simulating open and closed quantum systems, offering solvers for master equations, trajectory methods, visualization, and analysis tailored to quantum research, education, and exploratory physics studies.

A comprehensive guide for systematic statistical analysis, designed for academic research. This skill assists in selecting the correct hypothesis tests (t-test, ANOVA, regression, chi-square), checking assumptions (normality, homogeneity), performing advanced analyses (Bayesian methods, power analysis), calculating effect sizes, and generating full APA-formatted reports for publication.

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

A powerful tool designed for systematic literature reviews and meta-analyses. It searches scientific papers and retrieves highly structured experimental data directly from the full text, going beyond mere abstracts. It extracts over 25 fields, including detailed methods, quantitative results, sample sizes, quality scores, and conclusions, enabling comprehensive evidence synthesis for academic research.

A comprehensive tool supporting rigorous, evidence-bounded, and structured peer-review of scientific manuscripts, research protocols, and academic proposals. It guides reviewers through critical assessments of methods, statistics, ethical compliance, reproducibility, and claim-evidence alignment, while strictly enforcing confidentiality and human accountability throughout the review process.

QuTiP 5 is a comprehensive library for simulating and auditing complex quantum-system models, including closed and open quantum dynamics. It supports various physical models such as Lindblad dynamics, quantum trajectories, Bloch-Redfield models, and specialized methods like HEOM and Floquet. This tool is essential for local quantum-dynamics research requiring explicit control over physical assumptions, dimensions, and numerical convergence.

This skill provides end-to-end guided statistical analysis for research data, covering hypothesis testing (t-tests, ANOVA, chi-square), regression, correlation, and modern Bayesian methods. It walks users through the entire research workflow, emphasizing proper assumption checking, calculating effect sizes, conducting power analysis, and generating reports in APA format.

A comprehensive mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

This skill provides a deep dive into the architecture of low-level keyloggers. It covers techniques such as kernel driver hooks, using WH_KEYBOARD_LL, ETW-based input capture, and analyzing user-mode vs. kernel-mode approaches. Use this methodology to understand input capture mechanisms, research EDR evasion methods, or analyze malware architecture for advanced security threat detection.

A comprehensive guide covering expert techniques for breaking out of container isolation. This playbook details methods for exploiting privileged modes, abusing cgroups, manipulating namespaces, and leveraging vulnerabilities in Docker or Kubernetes environments. Essential for advanced security research and penetration testing.