Skill UI

A robust Python client wrapper for interacting with the Zotero Web API v3. This skill allows users to programmatically manage academic references, including retrieving, creating, updating, and deleting items, collections, tags, and attachments. Ideal for academic researchers building automated workflows, bulk exporting citations (e.g., BibTeX), or integrating Zotero data into larger research applications.

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

Use the Parallel CLI for web search, URL/PDF extraction, deep research, data enrichment, entity discovery, and recurring web monitoring. Best when requests need current web evidence, academic sources, or change tracking.

This end-to-end pipeline automates the conversion of a completed academic research paper into a full conference talk artifact. It generates a slide outline, Beamer source, editable PPTX, speaker notes, full script, and polished visuals. Critically, it includes rigorous assurance checks (citation, claim, anonymity) to ensure academic integrity, making the output suitable for top-tier conferences like NeurIPS or ICML. Use this when you need the complete, polished presentation package, not just a draft deck.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

A comprehensive guide for academic researchers aiming to submit papers to the top accounting journal, *Accounting Research*. This skill helps authors identify if their research focus aligns with core accounting mechanisms, such as disclosure quality, auditing standards, and regulatory changes, distinguishing it from general corporate finance or economics.

This comprehensive guide provides expert strategies for structuring and auditing the "Related Work" section for top-tier NLP conferences (like ACL). It covers citation hygiene (Anthology vs. arXiv), maintaining temporal freshness against rapidly evolving baselines, and articulating clear technical contrasts to prove the novelty of your research. Essential for high-stakes academic publishing.

This comprehensive guide assists authors in evaluating the suitability, framing, and structural requirements for submitting research on wireless, mobile, IoT, sensing, and network security/privacy to the ACM WiSec conference. It provides critical expertise on aligning the paper's contribution type, threat model, and evidence standards with top-tier academic conference expectations, ensuring the work emphasizes the physical or network context.

A comprehensive guide for authors submitting academic papers to the ACM Symposium on Virtual Reality Software and Technology (VRST). This resource helps determine conference fit, frame the research contribution, and outlines the specific evidence (software, performance, immersive systems) required to meet the stringent standards of top-tier immersive computing venues.

This guide helps researchers elevate general empirical ideas (e.g., 'X affects Y') into rigorous, theory-driven accounting contributions. It outlines four sources of academic contribution, identifies key areas (auditing, financial accounting, governance), and teaches how to anchor research in specific accounting mechanisms and China's institutional context, meeting the standards of top-tier accounting journals.

A comprehensive guide on positioning academic manuscripts within the broader field conversation, specifically for general education-research journals. It teaches researchers how to move beyond niche citation clusters to establish a field-wide gap, articulate the stakes, and connect the study to adjacent subfields, ensuring the contribution is broadly relevant.

Provides a comprehensive guide to the American Educational Research Journal (AERJ) manuscript review process. It details the stages, including fit framing, editorial screening, and double-anonymous peer review, helping authors understand how to structure their work to meet rigorous field-wide academic standards and maximize publication chances.