Skill UI

This example demonstrates the structure of a blocked fixture within a testing framework. It serves as a placeholder to illustrate required missing elements, such as a detailed description, and is useful for understanding fixture setup requirements and testing methodology.

This skill guides users through a comprehensive, structured design process. It helps transform vague ideas or initial concepts into detailed, validated specifications by exploring project context, proposing multiple options with trade-offs, and iteratively refining architectural details. It is essential for defining clear boundaries and requirements before any code is written, ensuring a robust and well-documented development roadmap.

This tool allows users to define and import custom templates for various marketing deliverables, such as proposals, performance reports, content briefs, and campaign plans. By establishing a structured template, the system ensures that all generated outputs adhere to the brand's specific formatting rules, section requirements, and content formats, making the output consistent and professional across different campaigns.

Performs comprehensive audits on multilingual content to ensure parity, technical SEO compliance, and regional accuracy. It checks for missing translations, structural deviations, correct hreflang implementation, and adherence to global regulatory requirements (e.g., GDPR, DPDPA). Essential for global brands needing consistent user experience and high search visibility across multiple markets.

This command sets the foundational regional parameters for a brand's global marketing efforts. Users configure critical settings such as timezone, primary language, local currency, compliance regulations (e.g., GDPR, CCPA), and preferred local platforms. These persistent settings ensure that all subsequent marketing campaigns, content generations, and performance reports automatically adhere to the specific regional requirements, eliminating manual adjustments for market differences.

This guide provides a comprehensive pre-submission audit checklist for AAAI conference technical papers. It covers crucial aspects like double-blind anonymity, page limits, reproducibility requirements, author policies, and adherence to the latest AI-use guidelines. Use this before submitting to mitigate risks of desk rejection or policy violation.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This tool guides authors to assess whether their management or organizational research manuscript is suitable for the Academy of Management Review (AMR). It focuses on the journal's pure-theory nature, providing detailed checks on conceptual novelty, logical rigor, structural requirements, and identifying potential desk-reject risks for non-empirical, theory-building papers.

A comprehensive guide for packaging and submitting evidence packages (artifacts) for NLP research papers, such as code, datasets, prompts, and model outputs. It details requirements for reproducibility, adhering to the Responsible NLP checklist, ensuring proper anonymization, and preparing for post-acceptance public release in academic settings like ACL.

A comprehensive guide detailing the standards required for academic reproducibility in NLP and LLM research. It covers the 'Responsible NLP checklist' requirements, including detailed reporting for hyperparameters, model versions, exact prompts, decoding parameters, data contamination auditing, and variance reporting to ensure claims are auditable and robust.

A comprehensive guide for authors targeting the ACM Conference on Intelligent User Interfaces (IUI). This skill helps evaluate manuscript fit, refine scope, understand evidence requirements, and strategically position papers related to AI-infused interaction, adaptive systems, and user modeling for top-tier HCI venues.

This skill is a comprehensive strategic guide for authors targeting the ACM Conference on Recommender Systems (RecSys). It helps assess the fit of a manuscript, guides the re-framing of work from journal or arXiv styles into a specialized conference narrative, and outlines specific requirements for evidence, evaluation (including offline metrics, user context, and leakage-aware methods), and contribution framing necessary for top-tier CS venues.