Skill UI

Provides comprehensive guidance on determining the optimal scaling strategy for Qdrant vector databases. Covers when to transition from vertical to horizontal scaling, how to select the right number of nodes and shards, and best practices for setting replication factors to ensure zero-downtime operation and fault tolerance. Also details proper shard management and common scaling pitfalls to avoid.

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.

A comprehensive guide for diagnosing production performance issues in Qdrant vector databases. Learn how to systematically check the optimizer status, analyze high memory usage (OOM crashes), and troubleshoot slow query latencies using key metrics and dedicated API endpoints. Essential for maintaining optimal operational health.

Generate production-quality React components and UIs using the specialized Rayden UI component library and Tailwind CSS. This skill ensures that all generated code strictly adheres to a defined design system, including correct component usage, design tokens, prop validation, and established layout patterns. Ideal for scaffolding complex pages like dashboards, login forms, and data tables while maintaining premium aesthetics and consistency.

Master the art of writing highly competitive research proposals for major funding bodies, including NSF, NIH, DOE, DARPA, and NSTC. This skill provides comprehensive guidance on structuring technical narratives, developing specific aims, justifying budgets, incorporating broader impact statements, and ensuring compliance with diverse agency-specific guidelines and formatting requirements.

Compiles comprehensive, verifiable external evidence for writing high-quality scientific manuscripts or research briefs. It conducts deep, multi-source academic searches, targeting verified references and structuring the findings into a manuscript-ready research packet. Ideal for in-depth literature reviews, hypothesis testing, and building structured evidence matrices.

A comprehensive Python toolkit built on AnnData for analyzing single-cell RNA-seq data. It supports the complete workflow, including quality control (QC), normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering, marker identification, and cell type annotation. Users benefit from a suite of ready-to-run CLI scripts that guide the entire process from raw data loading to publication-quality visualization.

Provides developmental, qualitative, and evidence-traceable review of scholarly works (papers, protocols, ideas). It also rigorously audits low-stakes research assessment rubrics for construct validity, fairness, and governance. Crucially, this tool is strictly forbidden from making high-impact personnel decisions, ranking individuals, or determining final outcomes.

A highly structured framework designed for generating, organizing, and transparently prioritizing scientific research concepts. It enforces independent idea generation, explicit assumption labeling, structured discussion, and evidence-aware evaluation, ensuring the creation of robust, proposal-level research directions for early-stage exploration.

This skill provides a robust, systematic framework for evaluating the rigor of scientific claims and research studies. It guides users in assessing experimental design validity, detecting various biases (selection, confounding, publication), and evaluating statistical evidence. By applying established grading standards like GRADE and Cochrane Risk of Bias, it is essential for conducting systematic literature reviews, peer reviews, and deep scientific critical analysis.

An advanced AI tool that generates publication-quality scientific diagrams, including neural network architectures, biological pathways, and system flowcharts. It utilizes smart iterative refinement, with Gemini 3.6 Flash automatically reviewing the quality against specific document type thresholds (e.g., journal, poster, presentation) to ensure professional accuracy and high fidelity.

A comprehensive skill designed to generate professional, visually engaging, and scientifically rigorous slide decks for academic talks, conferences, and thesis defenses. It guides users through structuring the narrative, incorporating complex data visualizations, ensuring consistent design aesthetics, and accurately placing citations. It works with formats compatible with PowerPoint and LaTeX Beamer.