Skill UI

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.

A sophisticated presentation template designed to mimic the look and feel of a digital magazine or e-ink publication. Featuring a dynamic WebGL liquid background and elegant serif typography, it is perfect for high-impact marketing reports, editorial storytelling, and showcasing rich, visually driven content in an immersive, horizontal scrolling format.

Generates sophisticated, editorial-grade data visualizations inspired by major news publications like The New York Times. Ideal for presenting complex data (CSV/JSON) or key conclusions as single frames or animations for video explainers, social media posts, or data reports. Features clean design, specific typography, and staggered reveal animations.

This skill guides the process of converting complex, repetitive, and often private operational workflows originating in the Hermes environment into safe, reusable, and public skills for the ECC workflow layer. It focuses heavily on data sanitization, requiring users to strip out all sensitive information such as absolute paths, private credentials, personal identifiers, and proprietary data before publication. Use this when an internal 'operator' routine needs to become a standardized, shareable business asset.

This guide provides a comprehensive workflow for searching and retrieving biomedical literature from PubMed and NCBI. It covers advanced query construction using MeSH terms and specific field tags, advanced filtering (date, publication type), and a repeatable programmatic workflow using NCBI E-utilities (esearch, efetch). Essential for researchers conducting systematic reviews and literature monitoring.

The Santa Method is a multi-agent adversarial verification framework designed to improve output quality by requiring two independent reviewers (Agent B and Agent C) to pass the content before publication. It eliminates single-agent bias and systematically improves outputs through iterative refinement loops until convergence or manual escalation.

This skill executes a rigorous, deterministic integrity forensic audit using an external, pinned Anti-Autoresearch framework. It sweeps the submitted paper to detect potential inconsistencies, rule violations, and structural anomalies. The resulting verdict is converted into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger, providing a final layer of assurance before submission or publication.