Skill UI

This skill transforms the current workspace into a comprehensive, stateful teaching environment. It guides the user through deep, multi-session learning by structuring content into core components: a defined mission, reference materials, curated resources, structured lessons, and continuous learning records. It employs educational best practices (spaced repetition, retrieval practice) to ensure long-term knowledge retention.

A comprehensive guide for authors targeting top-tier journals in systems and control theory (e.g., Automatica). This skill helps authors re-frame their work from narrow application studies to general, methodologically rigorous advances. It details the necessary components, including theoretical guarantees (stability, convergence, optimality), structured proofs, and necessary breadth to meet the highest academic standards.

This router guides the entire lifecycle for writing complex, theory-driven academic manuscripts, particularly in fields like econometrics. It provides a structured roadmap spanning from initial topic selection and literature positioning through rigorous proof development, data simulation, drafting style, and the final submission/rebuttal phases. Use this resource when you are unsure of the correct sequential step or need a systematic check of all necessary components before finalizing your work.

This guide provides a comprehensive framework for authors to position their work against existing literature, concurrent submissions, and public scrutiny in top-tier AI conferences. It teaches how to separate similar components from identical scientific problems, build verifiable novelty claims, and respond robustly to reviewer challenges.

This guide clarifies what constitutes an 'artifact' for pure-theory venues like ITCS. It emphasizes that the core deliverable is not code or functional components, but the mathematical argument itself. Successful evaluation relies on providing complete, self-contained proofs within the submitted PDF, along with citing dependencies precisely. It details how to handle minor computational content to ensure static, verifiable checks.

A comprehensive pre-submission audit guide for authors targeting the 'Journal of Computer Research and Development' (JCRD). This guide ensures manuscripts comply with the journal's rigorous standards, including double-blind review anonymity, specific Chinese formatting (GB/T 7714), structured content components, and academic integrity requirements.

A comprehensive guide for structuring persuasive proposals or symposium pitches for the Journal of Economic Perspectives (JEP). Learn how to convince editors that a balanced, accessible, and novel article or theme exists, focusing on the necessary components like the 'why now,' core takeaways, and balance plan, rather than writing the full manuscript.

This guideline assists researchers in structuring complex scientific manuscripts for top-tier journals like Molecular Cell. It details the required components—including Summary, Introduction, Results, Discussion, and STAR Methods—while adhering to strict word counts, display item limits, and narrative flow, ensuring the core scientific mechanism is presented clearly and persuasively.

This comprehensive guide provides structured rules for writing the two most critical components for high-impact scientific submissions (like Science/AAAS): a one-sentence summary and a polished abstract. It teaches authors how to shift focus from methodology to quantified results and broad implications, ensuring the work is accessible and compelling to a general scientific readership.

A sophisticated guide for social science researchers to transition from empirical evidence (coefficients, fieldwork notes) to robust, theory-driven narrative. It teaches how to structure an argument by identifying the four core components: Actioner, Structural Condition, Mechanism, and Consequence. This method ensures the explanation moves beyond mere correlation to deeply explain *how* and *why* social outcomes are generated or reproduced.

This skill transforms the current workspace into a comprehensive, stateful teaching environment. It guides the user through deep, multi-session learning by structuring content into core components: a defined mission, reference materials, curated resources, structured lessons, and continuous learning records. It employs educational best practices (spaced repetition, retrieval practice) to ensure long-term knowledge retention.