Skill UI

This skill polishes academic review essays to match the authoritative, argument-forward voice required by top-tier journals (e.g., PiHG). It ensures the prose advances a central thesis rather than summarizing literature. Key functions include enforcing journal format constraints (e.g., SAGE Harvard referencing, short unstructured abstract), adhering to word count caps, and transforming descriptive text into a critical, synthetic intervention.

This skill provides comprehensive guidance on adhering to PMLA (Publications of the Modern Language Association) style, utilizing the most recent MLA Handbook. It covers the mechanics of academic writing, including creating in-text parenthetical citations, building a Works Cited list from core elements, and correctly formatting quotations, translations, and discursive notes. Essential for final style checks before academic submission.

This skill acts as an orchestrator for developing and submitting academic manuscripts targeting PMLA. It guides authors through the entire scholarly lifecycle, helping them determine the appropriate stage (e.g., argument development, theoretical framing, textual evidence) and the best venue (e.g., regular article, special feature). It ensures the work adheres to literary and language studies standards, emphasizing close reading and scholarly positioning.

This skill guides researchers through the rigorous process of refining a preliminary accounting idea into a sharp, contribution-driven research question suitable for top academic journals like Review of Accounting Studies (RAST). It helps users identify the core accounting construct, define the mechanism (friction/channel), and ensure the study's focus is on accounting theory, rather than merely using accounting data in a general finance context.

This skill is essential for scholars working in Comparative Politics and International Relations. It guides the process of transforming single-case empirical findings into robust, portable theoretical arguments. By explicitly defining causal mechanisms, stating scope conditions, and identifying observable implications, the skill ensures the research contribution significantly advances theoretical debates across multiple cases or contexts.

This skill loads and parses a structured handoff document, enabling the user to resume work from a previous session. It systematically extracts the project's scope, files involved, completed tasks, key discoveries, and next steps. Crucially, it summarizes its understanding and mandates user confirmation before taking any action, ensuring accurate context and continuity.

This comprehensive skill allows users to search the web using the DuckDuckGo API, retrieving diverse content including text results, news articles, images, and videos. It supports advanced filtering options such as time range, region, content type (e.g., news, images), and specific media characteristics (e.g., image size, video duration). Ideal for research, fact-checking, academic study, and gathering current web resources.

This skill is designed to refine and improve the clarity, professionalism, and structure of any user-provided text. It acts as a highly cooperative writing partner, helping users polish drafts for various professional contexts, such as reports, emails, or academic writing, ensuring the final output is clear and impactful.

This skill guides decision-making when resources (time, context, tools) are finite and the search space is infinite. It instructs the user to first establish a clear, explicit 'good enough' aspiration level. Once set, the process involves stopping at the first option that meets this threshold, preventing costly over-optimization and wasted effort.

A specialized research aid for Investor-State Dispute Settlement (ISDS) law. This tool answers complex questions regarding investment treaty arbitration cases, awards, and doctrines (e.g., FET, Expropriation). It retrieves primary legal documents on demand from sources like ICSID and PCA, ensuring every statement is grounded in the retrieved text with precise, verifiable citations. Designed for legal professionals, academics, and students who require verifiable research support.

A comprehensive guide for creating and maintaining an atomic, index-driven knowledge base (KB) using Markdown. This method enables AI agents to bypass traditional vector search limitations by reading a central index file (INDEX.md) and opening only the most relevant, highly signaled notes, drastically improving context efficiency.

This sophisticated skill assists in-house legal teams with comprehensive legal risk assessment and classification. It uses a structured framework based on severity and likelihood, but critically, it enforces a rigorous three-step research methodology: adversarial searching for contradicting case law, systematic doctrinal web searches for context, and a temporal confidence check to ensure legal positions are current. It ensures that risk assessments are grounded in the most reliable and updated legal landscape.