Skill UI

An autonomous research agent that plans complex investigations using Directed Acyclic Graphs (DAGs). It executes sub-questions in parallel, performs gap analysis, and iteratively refines findings before synthesizing a comprehensive, structured report. Ideal for deep market analysis, academic literature reviews, or complex problem-solving requiring multiple data sources.

This comprehensive guide teaches how to create professional, publication-quality research posters using LaTeX packages (beamerposter, tikzposter). It covers best practices for academic layout, typography, and color schemes. Crucially, it provides strict guidelines for AI-powered visual element generation, emphasizing simplicity, high contrast, and minimal content density for optimal poster readability and visual impact.

A systematic framework designed for conducting rigorous peer reviews of scientific manuscripts and grant proposals. It provides a structured, checklist-based evaluation covering methodology rigor, statistical validity, reporting compliance (e.g., CONSORT, STROBE), and assesses all sections from abstract to results. Ideal for academic publishing, research quality assessment, and providing detailed, constructive feedback.

This skill generates research posters using modern HTML/CSS layouts, allowing for easy integration of AI-generated visuals. It is specifically designed for academic presentations that require a PowerPoint (PPTX) or PDF format. It enforces strict guidelines for visual simplicity, text size, and content density to ensure readability from a distance.

QuTiP is a powerful Python library designed for simulating and analyzing quantum mechanical systems. It provides comprehensive tools to model both closed (unitary) and open (dissipative) quantum dynamics. Users can study complex phenomena like decoherence, quantum optics, and master equations. The library supports various time evolution solvers, calculating entanglement, entropy, and visualizing quantum states on the Bloch sphere or in phase space. Ideal for theoretical physics research and academic simulations.

This skill guides the creation of highly competitive research grant proposals for major funding bodies like NSF, NIH, DOE, DARPA, and NSTC. It covers all critical components, including significance statements, innovation narratives, budget planning, compliance with specific agency guidelines (e.g., PAPPG, R01), and structuring the proposal to maximize funding success. It is essential for academic and R&D professionals.

This skill provides comprehensive, real-time research lookup by intelligently routing queries to the optimal backend. It utilizes fast web search for general market data, advanced APIs for deep synthesis research, and dedicated services for academic papers and DOI searches. Use it for literature verification, background context gathering, and technical documentation retrieval.

Utilize the ScholarEval framework for comprehensive and structured evaluation of academic works, including research papers, proposals, and literature reviews. Assess quality across critical dimensions like problem formulation, methodology rigor, data analysis, and scholarly writing. Provides both quantitative scoring and actionable feedback to enhance publication readiness.

A powerful AI tool designed to transform complex scientific concepts into publication-quality visual schematics. Utilizing Nano Banana 2 AI for generation and Gemini 3.1 Pro Preview for rigorous quality review, the skill specializes in creating architectural diagrams, neural network structures, biological pathways, and complex flowcharts. It employs smart iterative refinement, ensuring the output meets predefined quality thresholds for academic journals, posters, and reports.

This skill provides comprehensive guidance and functionality for creating professional, visually stunning, and academically rigorous slide decks. Designed for research talks, conference presentations, and thesis defenses, it assists in structuring the narrative, integrating complex data visualizations, maintaining consistent design aesthetics, and including proper citations. The recommended output is a combined PDF for maximum visual impact.

A comprehensive guide and toolkit for systematic statistical analysis, covering the entire research lifecycle. Features include test selection guidance (t-test, ANOVA, regression), rigorous assumption checking (normality, homogeneity), power analysis, effect size calculation, and generation of professional, APA-formatted academic reports. Essential for academic researchers and data scientists.

Access comprehensive LaTeX templates, formatting requirements, and detailed submission guidelines for major academic venues. This skill supports the creation of manuscripts destined for top-tier journals (Nature, Science, Cell), international conferences (NeurIPS, ICML, CVPR), research posters, and major grant proposals (NSF, NIH, DOE). It ensures your work meets the specific formatting standards required by the target publication.