Transform RDF data into cognitive agent architectures using formal Belief-Desire-Intention patterns. Enable AI systems to model rational agency with traceable reasoning chains and semantic interoperability for multi-agent systems.

Manual research takes hours and produces inconsistent results with unverified claims. This skill runs an 8-phase pipeline that collects, verifies, and synthesizes information from 10+ sources into professional reports.

When reproducing AI research, repository READMEs often leave critical gaps about dataset splits, evaluation protocols, or preprocessing details. This skill resolves those narrow reproduction questions from primary paper sources while preserving README-first guidance.

Stop wasting hours searching scattered event directories. This skill uses web search to find relevant trade shows, presents them in structured comparison tables, and provides targeted recommendations based on your industry, region, and goals.

Research complex topics efficiently without getting overwhelmed. This skill organizes your research into manageable subtopics and synthesizes findings into comprehensive reports.

Finding academic papers across physics, mathematics, computer science, and quantitative biology can be time-consuming. This skill provides direct access to the arXiv preprint repository to search and retrieve paper titles and abstracts instantly.

Access comprehensive USPTO patent and trademark databases. Search by keywords, inventors, or assignees. Retrieve examination history, assignments, citations, and office actions for IP research and prior art searches.

Search protein databases, retrieve sequences, and map identifiers across biological databases. This skill provides direct access to UniProt, the comprehensive protein sequence and functional information resource.

Stop wrestling with complex ML model setup. This skill gives you instant access to thousands of pre-trained transformer models for text, image, and audio tasks through simple commands.

Build and train graph neural networks for drug discovery, protein modeling, and molecular property prediction. This skill provides comprehensive documentation for the TorchDrug library including datasets, model architectures, and workflows.

Researchers need to understand protein-protein interactions to study biological systems and disease mechanisms. This skill provides direct access to STRING's comprehensive database of 59M proteins and 20B+ interactions across 5000+ species.

Scientific visualization transforms data into clear, accurate figures for publication. This skill ensures your figures meet journal standards while being accessible to all readers, including those with color blindness.

This skill helps researchers create professional presentations for conferences, seminars, and thesis defenses. It provides slide templates, design guidance, and AI-powered image generation for PowerPoint and LaTeX Beamer formats.

Scientific claims often contain hidden flaws in methodology, bias, or logic. This skill provides systematic frameworks to evaluate evidence quality, identify cognitive biases, assess experimental design, and detect logical fallacies in scientific discourse.

Finding current academic research requires searching multiple databases and evaluating source quality. This tool searches scholarly literature through Perplexity Sonar models with automatic model selection based on query complexity and citation-focused results.

Securing research funding is highly competitive with strict agency-specific requirements. This skill provides expert guidance for writing compelling proposals that meet NSF, NIH, DOE, DARPA, and NSTC standards while maximizing your chances of success.

Quantum systems require specialized simulation tools. QuTiP provides solvers for open quantum systems with master equations, Lindblad dynamics, and decoherence. Use this skill to model quantum optics, cavity QED, and dissipative quantum processes.

Quantum computing enables solving complex optimization, chemistry, and machine learning problems that are intractable for classical computers. Qiskit provides the tools to build quantum circuits, optimize them for IBM hardware, and execute on real quantum processors or simulators.

This skill helps you organize PyTorch code into reusable LightningModules. It provides templates and documentation for configuring multi-GPU training, implementing data pipelines, and setting up experiment tracking with popular tools like W&B and TensorBoard.

Drug discovery researchers need standardized datasets for training ML models. PyTDC provides curated ADME, toxicity, and drug-target interaction datasets with proper train-test splits and evaluation oracles.