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.

Assess and operationalize implementation readiness for high-risk AI systems under the EU AI Act Annex III. Covers provider and deployer obligations, conformity assessment, QMS, technical documentation, EU database registration, post-market monitoring, and produces a RED/AMBER/GREEN readiness score with a prioritized roadmap.

This deterministic gate performs an internal pre-compile readiness check for LaTeX manuscripts. It validates crucial elements such as document structure, citation presence, and a language-aware minimum body scale relative to the target page count. While it helps drive authoring repairs, it explicitly does not claim the final page count; the compile_pdf process remains the authoritative source for page validation.

An expert assistant for mastering SOC 2 compliance, covering all five Trust Services Criteria (Security, Availability, Confidentiality, Processing Integrity, Privacy). Use this skill for gap analysis, drafting policies, documenting controls, gathering audit evidence, and conducting vendor risk reviews, guiding organizations from initial assessment to sustained compliance readiness.

Audit and fix a site's readiness for AI browsing agents: the Lighthouse Agentic Browsing fraction, accessibility tree, robots.txt and Content-Signal, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known files and WebMCP tools.