Skill UI

This template provides a sophisticated, print-ready document aesthetic, simulating expertly typeset paper on a parchment background. It employs a limited, classic color palette (creamy parchment, ink blue accents) and serif typography. Ideal for creating high-fidelity, professional documents like resumes, long reports, one-pagers, business letters, and portfolios, ensuring the final output feels like an archival print piece rather than a typical web dashboard.

A professional poster template designed in the style of a Sunday newspaper or magazine editorial. It features a vintage newsprint aesthetic, oversized serif headlines, a two-column body layout, and structured numbered sections, making it ideal for marketing campaigns, manifestos, or detailed product launches.

This template simulates a hand-drawn, low-fidelity wireframe session on a whiteboard or sketchpad. It includes graph paper backgrounds, marker scribbles, sticky notes, and multiple tabs, making it ideal for early-stage UI/UX brainstorming and capturing initial conceptual ideas.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.

This skill executes a rigorous, deterministic integrity forensic audit using an external, pinned Anti-Autoresearch framework. It sweeps the submitted paper to detect potential inconsistencies, rule violations, and structural anomalies. The resulting verdict is converted into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger, providing a final layer of assurance before submission or publication.

This tool generates a complete, structured blueprint for developing powerful case studies and success stories. It guides users through defining the Challenge-Solution-Results (CSR) narrative, creating detailed client and internal interview questions, planning data visualizations, and mapping out multiple output formats (white paper, video, web page). This systematic approach ensures content is highly credible, optimized for sales enablement, and ready for multi-channel distribution.

This tool creates a production-ready, comprehensive content brief for marketing materials. It integrates keyword strategy, detailed content outlines, brand voice guidelines, and advanced on-page SEO specifications, ensuring writers can execute the content without needing further context. Ideal for structured content planning across blogs, whitepapers, and landing pages.

This tool generates a comprehensive content repurposing plan by taking a single source piece (e.g., webinar, whitepaper) and adapting it into multiple, platform-specific derivative formats. It ensures maximum ROI from content investments by providing full draft content, a detailed posting schedule, and platform best practices for optimal engagement and reach.

This guide provides a strategic framework for drafting highly effective and concise author rebuttals for major AI conferences like AAAI. Given strict character limits, no URLs, and no new results, it teaches authors how to triage reviewer feedback, focus on decision-critical factual errors, and maximize impact to improve paper acceptance chances.

A comprehensive guide for preparing accepted research papers for final submission to major conferences (e.g., AAAI Press). This process covers strict template adherence, deanonymization of author details, managing copyright transfer, optimizing page counts (including purchasing extra technical pages), and ensuring all source files (LaTeX/Word, figures, bibliography) are correctly formatted for professional publication.

This guide provides comprehensive strategies for writing the Related Work section for submissions to AAAI. It teaches authors how to robustly position their paper's novelty by distinguishing contributions from both established archival literature and contemporaneous non-archival work (like arXiv papers). It also addresses specific reviewer expectations across various AI subfields (NeurIPS, ICML, ICLR) and outlines clear structural templates for maximum impact.

This comprehensive guide helps researchers strengthen the reproducibility of AI academic papers for top-tier conferences like AAAI. It outlines best practices for creating a claim-to-evidence ledger, documenting seeds, hyperparameters, compute costs, and dataset licensing. Use this to ensure your work meets the highest standards of academic rigor and verifiability.