Skill UI

A comprehensive guide for professional code review in Chinese development teams. It addresses common communication pitfalls, offering structured methods to give critical feedback that is both rigorous and constructive. Learn how to use suggestion-based language, structured severity levels, mixed Chinese/English commenting, and optimal review processes to elevate code quality and team collaboration.

This guide outlines a rigorous, technical framework for receiving and responding to code review feedback. It emphasizes that code review is a technical assessment, not an emotional exchange. Users learn how to verify assumptions, ask clarifying questions, professionally refute incorrect suggestions, and implement changes iteratively, ensuring code quality and architectural integrity.

This skill enhances research query formulation by translating vague, colloquial, or generalized descriptions into precise, standard academic terminology. When initial search terms are broad (e.g., "conjugal happiness"), this technique suggests multiple plausible academic synonyms (e.g., "marital satisfaction," "relationship quality"). By improving the precision of the search query and incorporating structured constraints (like keywords, years, or sample sizes), it significantly boosts the relevance and effectiveness of academic paper retrieval.

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.

deepTools is a comprehensive command-line toolkit designed for processing and analyzing high-throughput sequencing data. It handles core genomics tasks including BAM to bigWig conversion, quality control assessment (PCA, correlation), normalization, and generating publication-quality visualizations (heatmaps, profiles) for ChIP-seq, RNA-seq, and ATAC-seq data. Essential for reproducible genomic research workflows.

ESM provides advanced protein language models (ESM3, ESMC) for deep biological understanding, generation, and structural prediction. This skill enables users to generate novel protein sequences with specific functions, perform structure prediction from sequence, execute inverse folding (sequence design from structure), and extract high-quality protein embeddings for downstream machine learning tasks. Ideal for drug discovery and advanced bioinformatics research.

This skill generates and edits high-quality images by utilizing various advanced AI models (including Gemini, FLUX, GPT-Image, and Seedream) through the OpenRouter API. It is ideal for creating photorealistic artwork, concept art, logos, detailed illustrations, or performing complex image compositing and editing using reference images. Supports diverse parameters like resolution, seed, and aspect ratio for precise creative control.

Histolab is a specialized Python library for digital pathology designed to process Whole Slide Images (WSI). It automates critical steps including sophisticated tissue detection, customizable tile extraction (random, grid, score-based), and stain normalization. It is essential for preparing high-quality, structured datasets for deep learning model training and comprehensive quantitative whole slide analysis.

Create professional, publication-quality infographics using advanced AI tools. This skill supports multiple infographic types, industry styles, and colorblind-safe palettes. It integrates live web research for accurate data sourcing and employs a smart iterative refinement process (Gemini 3.6 Flash) to ensure the output meets specific professional quality thresholds for marketing, reports, and presentations.

A comprehensive toolkit for medical device manufacturers seeking ISO 13485 certification. This skill guides users through gap analysis, creating mandatory Quality Management System (QMS) documentation, and ensuring compliance with global medical device regulations (e.g., EU MDR, FDA QMSR). It provides templates, guidance, and structured processes for foundational QMS documents like Quality Manuals and CAPA procedures.

A comprehensive guide for creating professional, publication-quality academic and scientific posters using LaTeX packages (beamerposter, tikzposter, baposter). This skill supports structured layout design, typography, color schemes, and integrates AI-generated scientific schematics, ensuring compliance with strict visual communication best practices for conferences and academic events.

Matplotlib is Python's foundational library for creating static, animated, and interactive visualizations. It provides fine-grained control over every plot element, supporting diverse plot types (line, scatter, heatmap, etc.) and complex multi-panel layouts. Users should leverage the object-oriented API for building robust, publication-quality figures and exporting them to formats like PNG, PDF, or SVG.