Skill UI

This skill processes lengthy texts, articles, or meeting notes to extract the core information. It provides a structured summary, including key takeaways, detailed expansions, and actionable items, ensuring the user quickly grasps the most critical insights without reading the entire source material.

The `hf-mem` skill estimates the necessary VRAM or system memory required to load Safetensors or GGUF model weights for inference directly from the Hugging Face Hub. It uses efficient HTTP Range requests, avoiding local downloads. Users can determine if a model fits on their GPU or instance, including optional estimations for the KV cache and setting limits like maximum sequence length.

This skill guides users through complex, multi-step processes such as installation, configuration, or initial setup. It breaks down the process into small, atomic actions, presenting only the current required step and a limited, manageable checklist of remaining tasks. Ideal for onboarding new users or executing lengthy technical setups.

This skill is designed to rewrite a previous, lengthy response into a significantly more concise version. It ensures that the core meaning and all essential information are preserved, making it perfect for users who need a quick summary or a TLDR (Too Long; Didn't Read) version without losing critical details.

This skill intercepts the AI response flow to allow users to explicitly control the desired depth, length, and token usage of the generated answer before the model begins writing. By analyzing the prompt's complexity and the user's intent (e.g., 'short version', 'detailed answer'), it estimates the appropriate token range and prompts the user to select a granularity level (25%, 50%, 75%, or 100%).

A comprehensive scoring tool to validate localized or translated content before publishing. It calculates a composite score by analyzing technical accuracy (e.g., formatting preservation, placeholder integrity, length ratios), overall content quality, brand voice consistency, and adherence to target market compliance rules. Use this to replace subjective checks with structured, repeatable quality assurance.

Provides comprehensive guidelines on structuring academic manuscripts for Acta Automatica Sinica (AAS). Learn how to effectively separate core contributions (main text) from supporting details, such as lengthy proofs, supplementary simulations, and extensive datasets, ensuring the paper remains concise and highly readable while maintaining scientific completeness for reviewers.

This comprehensive guide serves as a critical pre-submission checklist for academic papers targeting high-tier journals, such as *Accounting Research*. It meticulously details complex formatting conventions, including footnote practices, author-date citation styles, abstract length limits, and required article length. The guide also emphasizes critical steps like ensuring double-blind anonymity and adhering strictly to the journal's online submission system, helping authors avoid common rejection reasons related to format and identity leakage.

This guide helps authors tailor their manuscript to fit the specific page budget of Advanced Materials, whether it is classified as a Communication or a full Research Article. It details how to manage the length budget by coordinating text and visual display items (figures, tables) against the journal's strict typesetting page limits, ensuring the core scientific evidence remains intact while removing padding and secondary data.

This comprehensive checklist guides authors through the final pre-submission compliance checks for the American Economic Journal: Macroeconomics (AEJ: Macro). It covers critical academic standards, including formatting rules (PDF, Abstract length, JEL codes), fee structures, author disclosure statements, and essential data/code reproducibility policies, ensuring the manuscript meets all journal requirements before submission.

A comprehensive final pre-submission checklist for American Economic Review: Insights. This guide ensures your manuscript meets strict journal requirements, including word count limitations (main text and exhibits), abstract length, author metadata, and adherence to the AEA Data and Code Availability Policy. Use this before submitting to avoid auto-return gates.

This tool acts as a comprehensive router, guiding users through the specific stages of writing a short-format manuscript for American Economic Review: Insights (AER: Insights). It helps structure the process from initial topic selection and identifying a single core insight, through literature positioning, model refinement, and final submission/rebuttal preparation, ensuring compliance with strict length and scope requirements.