Skill UI

Designed for authors submitting to general-interest journals like JEEA. This skill helps stress-test a manuscript by simulating the two-gate decision process: the co-editor's fit assessment (desk-reject risk) and the referees' technical critiques. It guides authors on pre-empting common objections—such as general interest lack, identification weakness, or model fragility—by strategically framing the paper before submission.

This guide provides strict principles for transforming dense, technical academic data (like regression tables or complex charts) into self-explanatory exhibits suitable for a broad, non-specialist audience, such as those reading the Journal of Economic Perspectives (JEP). The focus is always on maximizing clarity and communicating a single, clear finding, prioritizing visual impact over statistical density.

A comprehensive preflight checklist designed for authors submitting manuscripts to specific academic journals (e.g., JHR). It ensures the paper meets critical requirements regarding scope (empirical microeconomics), page limits (e.g., 40 pages), required front matter (disclosure statements, data plans), and adherence to journal-specific submission protocols, helping authors avoid technical rejection and improving overall publication chances.

This guide helps authors structure and refine academic exhibits (tables and figures) for highly selective policy journals (like JPP&M). It addresses the crucial need to cater to a dual audience: methods-literate reviewers requiring technical detail (estimators, SEs, clustering) and policy practitioners needing immediate, decision-relevant magnitude (e.g., percentage points, dollars). It covers best practices for Event-Study, DiD, RDD, and forest plots, ensuring the presentation is actionable and adheres to strict page limits.

This guide provides a structured methodology for authors to articulate the core contribution of their Information Systems (IS) research for top-tier academic journals, such as MIS Quarterly. It ensures that the paper explicitly states the new knowledge produced (e.g., behavioral mechanisms, design principles, economic effects), justifies the manuscript's length, and rigorously connects theoretical advances with practical and societal implications, thereby avoiding claims of being merely 'incremental' or 'technical' exercises.

This advanced skill extends standard morph-ppt capabilities by enabling the seamless integration of 3D models (.glb) and advanced visual design elements. It features a robust, intelligent model discovery flow that proactively helps users find compatible 3D assets based on their topic (e.g., product, nature, concept). The system guides the user through searching multiple sources (Sketchfab API, Poly Pizza, Khronos assets) to ensure the final presentation is visually rich, professional, and technically sound.

A comprehensive preflight checklist designed for authors submitting manuscripts to top-tier academic journals, such as Management World. It guides users through critical checks on formatting, double-blind compliance, reference standards, word count, and required supplementary materials. Use this guide to ensure your paper meets strict technical requirements and avoid early rejection during the initial review phase.

This comprehensive guide outlines best practices for designing rigorous and convincing technical evaluations for networked systems. It structures the process by requiring experiments to answer specific questions, advising authors to climb the evidence ladder from synthetic benchmarks to real-world deployment. Key concepts include reporting tail latencies (p99), establishing strong baselines, and maintaining meticulous provenance records to ensure reproducibility.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.

This guide is designed for advanced academic research, helping scholars evaluate whether their current research idea meets the rigorous standards of top-tier economics journals (e.g., REStud). It teaches how to distill complex findings into a single, original, and technically excellent contribution, diagnosing potential weaknesses in novelty, scope, and general interest.

Provides comprehensive guidelines for designing high-impact scientific figures for major academic journals. It covers technical aspects like optimal sizing, font legibility, and colorblind safety, while also enforcing strict data visualization practices (e.g., using dot plots over bars, defining 'n', ensuring data integrity). Use this as a final quality check before submission to guarantee scientific rigor and maximize publication chances.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.