Skill UI

A comprehensive architectural guide for building and maintaining macOS menubar utilities using SwiftUI and Tuist. It enforces strict separation of concerns by guiding developers to keep networking, state management, and UI presentation in distinct, testable layers, ensuring robust and scalable application development.

This tool converts local source audio recordings into a specified, authorized target voice. It manages the complex workflow, including checking source and target voice rights, handling linguistic specifics (locale, accent), and performing previews before generating final assets. It is essential for professional narration, podcasting, and content localization while adhering to strict copyright and identity policies.

A crucial post-hoc review skill designed for AI-generated Markdown prose. It audits content against a comprehensive set of 21 stylistic and structural rules using both deterministic mechanical checks and deep semantic judgment. Users can audit a single file to get a detailed scorecard, or compare two drafts (A/B) for regression testing. Furthermore, it can optionally generate a polished, revised copy in a separate file, ensuring the integrity of the original document while significantly improving linguistic quality and adherence to style guides. Ideal for refining AI-written documentation, ...

A comprehensive guide for NLP researchers on strategically positioning their work before writing. It teaches how to determine the core linguistic contribution, select the optimal academic venue (ACL, EMNLP, etc.), manage the scope (long vs. short papers), and align the research focus with specific conference themes and review expectations, maximizing publication impact.

A comprehensive guide for revising NLP and Computational Linguistics manuscripts for submission to top-tier conferences like ACL. It mandates adopting a task-first, evidence-grounded approach, strictly scoping claims in the LLM era, and ensuring linguistic rigor in all examples and analyses. Learn how to structure, compress, and refine your arguments for maximum impact.

This comprehensive guide helps authors strategically position and refine manuscripts for top-tier UI/CS conferences like UIST. It covers core fit areas—including interactive techniques, AR/VR, and UI engineering—and provides detailed advice on structuring evidence, framing contributions, and meeting rigorous academic standards to maximize the paper's acceptance chances.

This guide helps position academic manuscripts for a broad, four-field anthropological audience (sociocultural, archaeology, biological, linguistic). It teaches how to move beyond simple literature reviews by engaging the live scholarly conversation, challenging the dominant canon, and connecting disparate subfields to demonstrate a clear, theoretical contribution.

This skill guides the transformation of rich fieldwork data, material evidence, or linguistic observations into portable, theoretical arguments suitable for high-level anthropological publishing. It structures the conceptual framework, defining core concepts, interpretive mechanisms, and scope conditions, ensuring the contribution moves beyond mere description to generate cross-subfield theoretical insights.

This skill guides researchers to pressure-test their anthropological project's suitability for a major journal like American Anthropologist (AA). It emphasizes achieving "four-field reach"—ensuring the findings matter broadly to all subfields (sociocultural, archaeology, biological, linguistic)—rather than being merely novel within a single niche. Use it before committing to fieldwork or writing to assess global impact, theoretical contribution, and ethical rigor.

A comprehensive guide for authors submitting papers to the ACL conference. It assists in positioning the manuscript, verifying topic fit (NLP, language models, semantics), and ensuring the evidence meets the high standards required for top-tier computational linguistics venues. Covers structure, best practices, and submission checklists.

This guide teaches authors how to strategically position their human-computer interaction (HCI) research for top-tier conferences like CHI. It covers identifying the core contribution type (e.g., theory, empirical study, system artifact), determining the most suitable venue (e.g., UIST, CSCW, DIS), and selecting the appropriate reviewing subcommittees to maximize acceptance chances and impact.

This comprehensive guide provides authors with detailed standards for preparing high-quality, publishable scientific manuscripts for the Chinese Journal of Computers (CJC). It covers critical academic elements, including writing the four-element reporting abstract, structuring the narrative (Introduction, Methods, Experiments), maintaining consistent terminology and symbols, adhering to Chinese legislative units, and mastering the GB/T 7714 citation format. It ensures the final submission meets the rigorous linguistic and structural demands of top-tier academic journals.