Skill UI

This tool generates complete, highly targeted media pitch packages designed to secure press coverage and boost brand visibility. It guides users through identifying news angles, creating tailored pitch templates for diverse outlets (national, trade, podcast), building detailed media lists, and designing comprehensive multi-stage outreach strategies. Ideal for product launches, thought leadership placement, and managing reactive media responses.

Designs an end-to-end, cross-platform retargeting playbook. This tool maps user behavior across the entire conversion funnel, segmenting audiences by stage (e.g., cart abandoners, viewers). It provides detailed guidance on creative sequencing, frequency capping, cross-platform coordination (Meta, Google, TikTok), budget allocation, and technical tracking setup, ensuring a coherent and optimized customer journey.

Provides a comprehensive, step-by-step framework for planning and executing high-impact webinars or virtual events. This tool guides users through defining content structure, developing multi-channel promotion strategies, optimizing registration funnels, designing interactive engagement tactics, and building post-event conversion pipelines, delivering a complete, ready-to-implement execution package.

A comprehensive guide for strengthening the methodological design of advanced geographical manuscripts. It covers various paradigms including spatial/quantitative GIScience, remote sensing, qualitative human geography, and mixed methods. Key advice areas include rigorously addressing spatial dependence (MAUP), validating measurements, justifying case selection, and ensuring holistic integration of diverse data sources.

Provides comprehensive guidelines for designing, auditing, and documenting empirical evidence for high-level AI research submissions (e.g., AAAI). It covers essential methodologies including strong baselines, single-factor ablations, robustness testing (shift, seed, prompt), statistical significance, and ensuring perfect alignment with reproducibility checklists and ethical reporting. Use this guide before submission to ensure empirical evidence strongly supports all claimed AI contributions.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.

A comprehensive guide designed to help researchers determine the optimal conference or journal venue (e.g., AAMAS, NeurIPS, ICML, EC) for multi-agent AI research. It emphasizes that the contribution must center on the interaction result—such as mechanism design, coordination, or negotiation—rather than simply applying a single-agent method in a multiagent testbed. This tool sharpens the research framing before writing begins.

A comprehensive guide for designing and presenting rigorous experiments and simulations for top-tier journals in Control Theory, Robotics, and Smart Systems. Covers RQ-driven design, establishing fair baselines, providing theoretical proofs of stability/convergence, performing ablation studies, and ensuring statistical significance, helping authors build an undeniable evidence chain for double-blind external review.

A comprehensive audit checklist designed to guide authors through the rigorous preparation process for submitting academic manuscripts to Acta Automatica Sinica (AAS). It covers critical steps such as adopting double-blind anonymity, mandatory author commitment forms, ensuring originality, and meeting the high formatting standards required for top-tier publications in control and automation theory.

This skill is a specialized tool designed for scholars to assess the suitability and scope of their academic review article against the rigorous standards of top-tier management journals, such as Academy of Management Annals (AMA). It helps determine if a manuscript is merely a summary, or if it possesses the necessary synthesis, new organizing framework, and credible future research agenda required for publication in a highly selective venue.

A comprehensive guide for researchers designing and auditing NLP experiments for top-tier conferences. It covers establishing defensible baselines, ensuring evaluation breadth, performing rigorous statistical tests (significance, variance), controlling for data contamination, and structuring detailed functional error analysis. Essential reading for publishing reliable AI research.

A comprehensive guide for authors targeting top Human-Computer Interaction (HCI) conferences like CHI. It helps authors position their manuscripts, define required contribution types (e.g., system, dataset, empirical finding), and structure the paper to meet the rigorous standards of human-centered computing reviewers, focusing on user experience and design implication.