Skill UI

A comprehensive guide for authors designing figures and tables for Nature Geoscience manuscripts. It outlines strict rules for adhering to a limited figure budget (4-6 display items), ensuring the lead figure immediately conveys the core Earth-system advance and its uncertainty, and maintaining high standards of cartography and data visualization for non-specialist readership.

This guide provides a structured framework for authors aiming to submit manuscripts to Nature Geoscience. It details how to comply with strict journal limits on word count, display items, and references. By implementing a triage order—such as moving protocols to Online Methods and extended data to Supplementary Information—authors can ensure the main text remains focused, concise, and impactful.

This comprehensive checklist guides researchers through finalizing scientific figures and tables for submission to PNAS. It enforces rigorous standards covering optimal column sizing, minimum font size, displaying underlying data (points and 'n'), colorblind accessibility, and maintaining data integrity. Use this guide before submission to ensure your visualizations meet high journal standards.

This guide provides comprehensive best practices for structuring tables and figures (exhibits) in empirical finance papers. It addresses the strict 60-page journal limit, advising authors on how to present core findings, identify mechanisms, and display robustness evidence while maintaining readability. Learn how to move mechanical grids to appendices, focus the main body, and ensure every visual element is self-contained and highly interpretable for top-tier referees.

This guide provides best practices for optimizing the presentation of data exhibits—including tables, figures, and qualitative displays—in development economics manuscripts. It ensures that complex findings are highly legible and actionable for a multidisciplinary, policy-oriented audience, moving beyond simple statistical reporting to communicate clear, impactful narratives.

This script automates the Git push process, ensuring safety checks (e.g., preventing direct pushes to main branches) and verifying uncommitted changes. Upon successful push, it dynamically generates and displays direct tracking links for CI pipelines on major platforms like GitLab and GitHub Actions, providing immediate status updates for development teams.

Quickly retrieve and display the current Continuous Integration/Continuous Deployment (CI/CD) pipeline status for the active branch or a specific Pull/Merge Request. This tool supports major Git platforms including GitLab CI and GitHub Actions, providing developers with an immediate snapshot of build and test results.

This utility is designed to safely read and display the contents of various configuration files. It is essential for inspecting settings, verifying file structure, and debugging without the risk of modifying any data. Simply provide the file path to view its contents.

This skill displays a comprehensive dashboard for autoresearch experiments, showing results, active loops, and progress. Users can view details for specific experiments or entire domains. It supports exporting data in Markdown or CSV formats for further analysis. Ideal for tracking optimization metrics and experiment health.

Monitor the real-time progress and overall state of an AgentHub session. This tool displays detailed information including agent branch activity, commit counts, frontier status, and recent board updates, allowing users to effectively track complex multi-agent workflow execution.

Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states. Ideal for frontend development tasks involving state management and user interface implementation.

This skill generates output schema files (dataset_schema.json, output_schema.json, key_value_store_schema.json) for Apify Actors by analyzing source code. It ensures consistency with repository conventions, derives types from TypeScript or Python definitions, and anonymizes examples. Use it when creating or updating Actor output schemas to define how results are displayed in the Apify Console.