Skill UI

Provides a comprehensive guide for authors responding to a Journal of Monetary Economics (JME) revise-and-resubmit (R&R). It addresses the high-stakes "up or out" nature of the submission, teaching how to prioritize make-or-break points, structure a meticulous point-by-point rebuttal, and adhere to strict formatting rules (e.g., using online supplements) to maximize publication chances.

A comprehensive guide detailing the data sharing and transparency requirements for submitting manuscripts to the Journal of Marriage and Family (JMF). It specifically addresses the challenge of restricted-use family datasets, teaching researchers how to document access paths and ensure replication-level detail without direct data redistribution.

This guide targets the Journal of Physical Education, a CSSCI-level journal emphasizing school physical education, sport humanities, and social science. It is ideal for researchers studying PE reform, youth fitness, and sport policy. Submissions must demonstrate strong theoretical grounding and problem consciousness, analyzing educational, social, or health mechanisms rather than merely summarizing teaching experiences.

This skill guides researchers in developing robust, theoretically innovative manuscripts, specifically for top-tier journals like JPSP. It moves beyond simply reporting data by teaching how to define a core claim, derive diagnostic, testable hypotheses (H1, H2, H3...), establish clear mechanisms, and map the cumulative argument across multiple studies. It focuses on the theoretical framework, not the data analysis itself.

This guide simulates the rigorous, anonymous review process of PMLA, teaching scholars how to adapt their work for top-tier humanities publication. It helps users pre-empt failure modes by analyzing eligibility (MLA membership, non-publication status), ensuring generalist significance, engaging broad criticism, and grounding all claims in verifiable close textual reading.

This guide helps researchers determine if their academic idea constitutes a genuine theoretical problem suitable for a specialized theory journal, rather than an empirical study or a simple literature review. It screens for conceptual advances, teaching users to distinguish between mere topics, data-driven findings, and deep theoretical gaps. Use this when you have an intuition or critique but are unsure of the theoretical depth or appropriate academic venue.

A skill that models AI educator Baoyu's approach to creating accessible AI content, systematic prompt engineering teaching (Level 1-10), tool reviews, open-source sharing, and daily knowledge updates. Ideal for writing tutorials, translating tech articles, and building AI knowledge bases without hype or anxiety.

An expert system for Social Emotional Learning (SEL) grounded in the CASEL framework. Provides comprehensive guidance on the five core competencies, curriculum design, teaching strategies, assessment tools, and localization practices. Supports educators, parents, school administrators, and researchers in implementing effective SEL programs.

Guides users through a complete Spec-Driven Development (SDD) cycle on their actual codebase, from exploration to archive. Interactive walkthrough with narrated phases, teaching by doing. Suitable for onboarding developers to SDD methodology.

This skill enables AI to adapt its operational behavior based on specific task types such as brainstorming, coding, debugging, reviewing, teaching, and deployment. It optimizes performance by switching between distinct modes like BRAINSTORM, IMPLEMENT, and DEBUG, ensuring appropriate communication styles and output formats for each scenario.

This skill explains concepts using Socratic-style dialogue, guiding users toward understanding through reflective reasoning and thought experiments rather than direct lectures. It employs a single simple analogy to illuminate ideas and asks reflective questions to encourage active thinking. Suitable for teaching technical ideas, clarifying theories, or exploring abstract concepts. The goal is to help users arrive at clarity through their own reasoning process, maintaining a patient and curious tone throughout the conversation.

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.