Skill UI

This tool acts as an expert orchestrator and router for academic manuscripts in New Media and Society (NM&S). It guides researchers through the complex, interdisciplinary writing lifecycle, ensuring the work maintains both conceptual focus and methodological rigor. Users are routed to specific sub-skills based on their current stage (e.g., identifying a topic, building theory, conducting data analysis, or revising after reviewer feedback) and their chosen method (e.g., qualitative interviews, computational analysis, critical discourse analysis).

This specialized skill is designed for creating investor pitch decks for various funding rounds (Seed, Series A/B/C). It builds upon standard presentation rules, adding critical VC-focused constraints such as stage-appropriate metrics, the canonical narrative arc (Problem -> Solution -> Market -> Ask), and finance-grade number conventions. Use this only when actively raising capital, not for general reviews.

This guide provides a structured approach for writing high-stakes author responses to academic paper reviews (like those in OOPSLA). It teaches authors how to move beyond simple rebuttals by framing every concern as an argument supporting a desired outcome (Accept, Minor Revision, Major Revision, or Reject). Focus areas include quantifying feasibility, structuring the argument for committee skimming, and strategically shaping the scope of required revisions.

This guide assists in the rigorous development of theoretical frameworks for Organization Science manuscripts. It details the two legitimate modes—deductive (a priori) or inductive (grounded)—and emphasizes the critical need to identify the core organizational mechanism, specify the levels of analysis (micro, meso, macro), and articulate cross-level bridging logic and boundary conditions. It guides users beyond simple literature reviews to build genuine, testable theory.

This guide provides a comprehensive framework for authors responding to major journal revisions. It teaches how to structure a technical, point-by-point rebuttal, systematically closing proof gaps, strengthening assumptions, incorporating missing baselines, and preparing the entire codebase and data for professional reproducibility review.

This skill guides advanced academic writers through the process of 'synthesis,' moving beyond mere summary in literature reviews. It teaches how to take multiple, seemingly disparate sources and synthesize them into a single, cumulative, and powerful central argument (the 'synthetic spine'). This is crucial for scholarly work, ensuring the contribution is a novel argument, not just a comprehensive list of what others have found.

This comprehensive guide teaches researchers how to systematically respond to peer reviews for high-impact journals. It covers triaging reviewer comments into 'Do,' 'Defend,' 'Defer,' and 'Do-partial' buckets, prioritizing necessary experiments, structuring the response letter, and maintaining a respectful, evidence-led tone. Essential for navigating the publication process and preserving claim integrity.

A comprehensive guide for authors on structuring and writing professional, evidence-led rebuttal letters in response to scientific journal reviews (e.g., PNAS). Learn how to triage reviewer comments into actionable buckets (Do, Defend, Defer), prioritize necessary experiments, address editor's core concerns, and maintain a respectful, credible tone throughout the revision process.

A comprehensive guide for authors preparing a rebuttal or response to peer reviews for major academic conferences. It details how to maximize impact by focusing exclusively on correcting factual proof misreadings, supplying missing lemmas, and clarifying technical bounds, while strictly avoiding arguments of significance or taste. Emphasizes maintaining anonymity and adherence to the double-blind format.

A comprehensive guide for positioning research in distributed-computing theory, specifically for conferences like PODC. It details how to move beyond topic listings to defining a precise 'delta' by comparing models, bounds, and costs against prior art. Crucial advice includes distinguishing between different synchrony models, fault tolerances, and handling self-citation in double-blind reviews.

This skill guides the execution and reporting standards for advanced demographic analysis, particularly for Population and Development Reviews (PDR). It ensures that demographic rates, life tables, and projections are not only statistically rigorous (handling uncertainty, denominators, and complex inference) but also clearly interpreted in the context of development, policy, and socio-economic meaning. It focuses on reproducibility and methodological transparency.

A comprehensive guide for authors submitting revised manuscripts, specifically addressing the complex requirements of Population and Development Reviews (PDR). Learn how to structure a rebuttal that satisfies cross-field experts (demographers and policy scholars), reconcile conflicting comments, protect the core scientific contribution, and write a cohesive, persuasive cover letter to the editor.