Skill UI

An expert skill designed to author comprehensive, implementation-ready design system guidelines for editorial content like books, magazines, and reports. It structures visual language across tokens, typography, spacing, and component states, while rigorously adhering to WCAG accessibility standards and defining clear content tone and anti-patterns for developers and designers.

An end-to-end workflow orchestrator designed to guide users through the entire academic research and publication lifecycle. It manages the transition from initial research exploration to the final polished manuscript, incorporating mandatory integrity checks, two-stage peer review, and revision cycles. It does not generate content but structures the process, ensuring reproducibility and quality assurance at every critical stage.

This skill provides comprehensive tools and methodologies for working with the Brain Imaging Data Structure (BIDS) standard. It is essential for organizing, validating, querying, and converting complex multi-modal neuroscience and biomedical datasets (including MRI, EEG, MEG, PET, etc.). Use this when setting up BIDS-compliant directory structures, ensuring data integrity before publication, or converting raw DICOM scans into standardized formats.

A comprehensive tool for performing pathway and gene-set enrichment analysis (GSEA, ORA, ssGSEA, GSVA). Used in computational biology to determine which biological pathways or gene sets are significantly over-represented in a given list of genes or ranked gene data. Supports multiple databases (GO, KEGG, Reactome, MSigDB) and provides tools for result interpretation, visualization, and publication-ready reporting.

This skill generates high-fidelity, print-ready academic conference posters (e.g., for ICML, NeurIPS, CVPR) as a single HTML/CSS file, rendered to PDF via headless Chromium. It enforces rigorous, measurement-driven design gates, incorporates real paper figures with provenance, and adheres to strict academic guidelines (like two-hue systems) to ensure professional, publication-quality results. Ideal for researchers needing to design or refine conference posters.

This meta-skill orchestrates the entire academic writing workflow, from initial requirement extraction (topic, length, audience) to drafting, citation management, and final LaTeX/PDF compilation. It supports various modes, including compact skeletons for quick drafts and full manuscripts for publication-ready work. Ideal for users needing structured help with research papers or academic manuscripts.

Drafts a complete, publication-ready research paper section (e.g., Introduction, Method, Results) as a robust LaTeX fragment. This tool ensures the section adheres strictly to a predefined writing plan, maintaining narrative coherence, managing citation budgets, and slotting seamlessly into a larger academic manuscript.

This skill provides expert guidance on Public Relations (PR) and maximizing earned media for software products. It teaches the philosophy of successful pitching, focusing on identifying strong stories (trends, data, human narrative) rather than just the product. Learn four modes of outreach—reactive newsjacking, proactive pitching, inbound requests, and owned assets—to build brand legitimacy, backlinks, and industry authority from journalists and publications.

This guide details how to integrate R code, primarily using the powerful ggplot2 library, into Power BI reports. It enables the creation of advanced, static, and publication-quality statistical visualizations. The process covers the technical workflow, including setting up the JSON structure, writing the mandatory R script (e.g., using `print(p)`), handling data injection, and adhering to best practices for professional BI reporting.

A specialized tool for scientific data visualization, acting as a visualization advisor to analyze data, recommend chart types, prevent common errors, and generate publication-grade figures.

Automates the creation and publication of polished, functional Gradio demos on Hugging Face Spaces for any user-provided LoRA model. This skill handles the complex workflow of designing the optimal UI, selecting the correct inference pipeline (e.g., text-to-image, video-to-video), and generating all necessary files (app.py, requirements.txt, README.md) to deploy a complete, ready-to-use AI playground.

This skill guides the entire lifecycle of repeatable AI agent loops. Use it to discover recurring work patterns within codebases, find established solutions in a library, or interview users to craft bounded, effective loops. It supports auditing, repairing, running, and preparing AI workflows for publication, treating the loop as a robust feedback system.