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Found 1,441 Skills
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
Use when designing or auditing UI/UX (wireframes to UI specs), running heuristic and accessibility reviews (WCAG 2.2 AA, ARIA), defining design systems and tokens, improving flows/forms/states and conversion (CRO), or tailoring inclusive experiences (age, neurodiversity) across web/iOS/Android/desktop, including AI/automation UX patterns.
Tailwind CSS advanced component patterns with CVA integration and variant management
Generate, edit, and compose images using Gemini Nano Banana models via portable Python scripts. Handles authentication via API Key or Vertex AI environment variables. Available parameters: prompt, model, aspect-ratio, safety-filter-level. Always confirm parameters with the user or explicitly state defaults before running.
Creates comprehensive design systems with typography, colors, components, and documentation for consistent UI development. Use when establishing design standards, building component libraries, or ensuring cross-team consistency. Keywords: design-tokens, typography, spacing, color-palette, components, patterns, variables, dark-mode, theming, CSS-variables, accessibility, WCAG, responsive, grid-system, breakpoints, design-scale, semantic-tokens, component-library, style-guide, documentation, Figma, Storybook, brand-consistency, design-principles
Vercel platform overview for onboarding, projects, CLI, Git integration, environment variables, project configuration, REST API, and webhooks. Use when planning or operating workloads on Vercel.
Generate images using Google Gemini AI with text prompts and reference images. Use when creating game assets, concept art, UI mockups, promotional images, or any visual content. Supports text-to-image, image-to-image with style transfer, and multiple output sizes. Requires GEMINI_API_KEY environment variable. Triggers on requests for AI image generation, concept art, visual assets, or Gemini images.
Use when extracting entities and relationships, building ontologies, compressing large graphs, or analyzing knowledge structures - provides structural equivalence-based compression achieving 57-95% size reduction, k-bisimulation summarization, categorical quotient constructions, and metagraph hierarchical modeling with scale-invariant properties. Supports recursive refinement through graph topology metrics including |R|/|E| ratios and automorphism analysis.
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.
Publish documentation and books with GitBook including spaces, collections, variants, Git sync, collaboration, and API integration
TypeScript, React, and Node.js coding standards: naming, types, hooks, components, error handling, refactoring, code review. Use when creating/editing TS/JS/React files, naming variables or components, designing API endpoints, handling async, structuring components, or when the user asks "how should I name...", "what's the best way to...", "is this good practice...", "can you review this code". Keywords: TypeScript, React, hooks, React Query, Jest, RTL, naming, immutability. Do not load for: CSS-only changes, documentation writing, JSON config edits, shell scripts.
Interactively debug source code — set breakpoints, step through execution line by line, inspect live variable state, evaluate expressions against the running program, and navigate the call stack to trace root causes. Use when a program crashes, raises unexpected exceptions, produces wrong output, when you need to understand how execution reached a certain state, or when print-statement debugging isn't revealing enough.