Skill UI

Provides comprehensive expertise for building robust WordPress sites. Specializing in custom theme and plugin development, implementing modern Gutenberg blocks, extending WooCommerce functionality, and managing the WordPress REST API. Core focus areas include advanced security hardening (nonces, sanitization, capability checks), performance optimization (caching, query tuning), and adhering strictly to WordPress coding standards.

This comprehensive skill guides content creators through a structured process to generate, refine, and validate high-potential YouTube video ideas. It ensures that every concept aligns with the channel's core content pillars, target audience needs, and current market trends. By utilizing advanced methods like gap analysis and trend riding, it provides a prioritized, scored list of executable video ideas, moving the user from abstract concepts to actionable content strategies.

This skill guides the creation of high-performing YouTube titles and thumbnail concepts to maximize Click-Through Rate (CTR). It involves analyzing competitor content, applying various copywriting strategies (e.g., curiosity gap, direct benefit, urgency), and generating structured A/B test variants. Use this when finalizing video packaging or needing professional title/thumbnail ideas.

Reasoning-Driven Image Briefs skill transforms agent prompts into logic-based Gemini 3 style instructions for muapi.ai, adding structured creative briefs (subject/action/context/composition/lighting), precise text cues, and physics-grounded constraints before invoking generation scripts.

This tool provides a comprehensive workflow for generating powerful, self-contained frontend artifacts for AI platforms. It initializes a React/TypeScript project using Vite and Tailwind CSS, allowing developers to build complex UIs. The core function is bundling the entire application into a single, shareable HTML file, making it easily viewable within AI conversations.

AnnData supplies a Python-native container for annotated matrices, letting researchers store measurements alongside rich metadata, read/write h5ad/zarr/loom/10X files, and integrate with the scverse tools when building single-cell or related data workflows.

Provides programmatic access to the CZ CELLxGENE Census (61M+ cells) for querying standardized single-cell expression, metadata, embeddings, and stats across tissues and diseases, supporting scanpy and ML workflows.

Access HMDB to search over 220K human metabolites by name, ID, structure, disease or specimen, retrieve chemical/clinical/pathway data, and download spectra for metabolomics workflows.

Provides GraphQL queries to the Open Targets Platform for target-disease associations, tractability, safety, drugs, and multi-omics evidence to guide therapeutic target identification, safety assessment, and repurposing research workflows.

Query the Reactome Content and Analysis Services (or the reactome2py client) to fetch pathway hierarchies, map genes, run overrepresentation/expression analyses, and explore disease interactions for systems biology research.

Statsmodels is a comprehensive Python library dedicated to advanced statistical modeling and econometrics. It provides tools for rigorous statistical inference, including Ordinary Least Squares (OLS), Generalized Linear Models (GLM), mixed-effects models, and time series analysis (ARIMA). Use this skill for detailed diagnostics, coefficient estimation, hypothesis testing, and producing publication-ready statistical reports in fields like econometrics and biostatistics.

TorchDrug is a PyTorch-native toolbox for building graph neural networks tailored to molecules, proteins, and biomedical knowledge graphs, covering property prediction, generation, retrosynthesis, and knowledge graph reasoning with curated datasets and models.