Skill UI

A comprehensive audit tool designed to ensure academic paper compliance before submitting to major AI conferences like NeurIPS. It systematically checks adherence to the CFP, double-blind anonymity across all assets (PDF, code, data, supplement), correct track selection, and avoids common desk-rejection pitfalls, ensuring the submission is ready for OpenReview.

This guide helps authors set accurate expectations for academic paper submissions, particularly within fast-paced, first-round decision venues like RAST. It details the double-blind review process, how to interpret terse decisions, and guides strategic decisions regarding paper readiness, conference vs. regular track selection, and comparing different sibling journals.

A comprehensive checklist for preparing academic manuscripts for submission to major financial journals. It guides authors through formatting rules, ensuring double-blind anonymization, preparing the Internet Appendix, writing a detailed cover letter, and addressing mandatory code release conditions, ensuring readiness before final portal submission.

A critical pre-submission tool that provides a comprehensive go/no-go scorecard for academic manuscripts. It evaluates nine dimensions—including fit, robustness, and venue mechanics—to catch avoidable desk-reject risks before the author submits the paper. It scores the manuscript against the target venue's specific requirements and provides actionable feedback on gaps and necessary revisions.

Provides a comprehensive, quantitative auditing system for AI agents, skills, and commands. It evaluates these components against industry best practices using a multi-criteria weighted scoring model and assign a production readiness grade (A-F). Ideal for validating complex AI systems before deployment, identifying gaps, and ensuring robust, maintainable code.

This comprehensive pipeline automates the entire software release cycle, from merging a Pull Request (PR) to verifying the final deployment. It performs critical steps including CI status checks, waiting for build completion, executing pre-merge readiness gates (staleness, testing, documentation), and finally merging and detecting the target deployment platform for a controlled, reliable release.

This comprehensive guide provides a detailed checklist for authors preparing manuscripts for submission to the Journal on Communications (JOC). It covers all structural requirements, including correct article sequence (Chinese/English), abstract structure, keyword count, mandatory identifiers (e.g., TN classification), adherence to GB/T 7714 referencing, and plagiarism checks (CNKI > 20% threshold). It also outlines the academic process, fees, and submission ethics, ensuring the paper meets the journal's rigorous three-stage review standard.