Skill UI

This document provides a comprehensive guide to the principles and vocabulary needed to write high-quality, predictable, and effective skills. It covers advanced concepts like model-invoked vs. user-invoked skills, managing context load, structuring information hierarchies (steps vs. reference), and implementing progressive disclosure to improve agent predictability.

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

This skill helps researchers strengthen AAAI paper submissions by ensuring reproducibility standards are met. It covers experimental traceability, seed reporting, compute disclosure, and dataset licensing. Users learn to map claims to evidence, audit checklists, and prepare artifacts for Phase-1 reviewers to validate rigor across AI scopes.

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 outlines the meticulous workflow for preparing a research paper for final publication (Camera-Ready) after acceptance at major NLP conferences like ACL. It covers critical steps including de-anonymization (restoring author details and acknowledgements), integrating mandates from meta-reviews, adding required disclosures (e.g., funding, AI assistance), and ensuring all technical metadata, font embedding, and licensing comply with the permanent open-access standards of the ACL Anthology.

A comprehensive guide for researchers to determine the academic positioning of their manuscripts. It differentiates between core accounting issues (e.g., disclosure quality, audit standards, earnings management) and corporate finance mechanisms (e.g., pricing, funding constraints). Use this tool to ensure your paper aligns perfectly with the scope of specialized academic journals.

A rigorous guide for academic researchers on establishing and testing the role of information mechanisms in accounting literature. It outlines how to shift focus from general pricing or financing channels to specific information channels—such as reducing information asymmetry, improving disclosure quality, or constraining earnings management. Provides advanced methodologies, including direct measurement of information variables and cross-sectional cutoff analysis.

This comprehensive checklist guides authors through the final necessary checks before submitting a manuscript to AEJ: Economic Policy via the AEA system. It ensures strict compliance with single-blind review rules, JEL code requirements, formatting standards, data availability statements, and disclosure policies, significantly improving the likelihood of a successful submission.

This comprehensive preflight checklist guides authors through the rigorous submission process for the Academy of Management Journal (AMJ). It covers crucial details such as double-blind anonymization, AOM house-style formatting (Times New Roman 12pt, double-spaced), ethical declarations (AI disclosure, IRB), and adherence to the ScholarOne portal requirements. Use this guide before finalizing your submission.

This guide details the comprehensive workflow for preparing an accepted ACM CCS paper for the final proceedings. It covers critical steps including de-anonymization, applying ACM sigconf templates and rights forms, incorporating shepherd/minor-revision feedback, placing artifact evaluation badges, and coordinating publication disclosure timing. Adherence to these technical and policy checks ensures compliance with ACM standards.

A comprehensive guide for authors planning research submissions to top-tier academic security conferences like CCS. It details the two-cycle HotCRP workflow, decision criteria, and strategic advice on addressing threat model soundness, novelty, evidence quality, and crucial ethical disclosure concerns across all stages, from initial review to minor revision.

A comprehensive guide detailing the mandatory submission requirements for major AI conferences like CIKM. It covers critical areas such as strict page budget rules (including appendices), mandatory GenAI Usage Disclosure, EasyChair nomination processes, maintaining double-blind anonymity, and adhering to crucial deadlines like the abstract-gate week to prevent desk rejection.