Skill UI

A detailed guide designed for researchers targeting top-tier economics journals, such as Finance & Trade Economics (CTE). It systematically helps users refine their manuscript by checking four critical areas: scope fit (fiscal, tax, trade, consumption), theoretical grounding, measurable marginal contributions, and appropriate journal matching. This ensures the research meets the high standards required for publication.

A comprehensive guide to strategically positioning anthropology research for high-impact, globally focused journals like Current Anthropology (CA). This skill helps researchers pressure-test their ideas against criteria such as all-fields reach, synthetic intervention, and international commentary potential, ensuring the project sets the terms for future scholarly debate rather than merely reporting a local finding.

A comprehensive guide for authors submitting research to CVPR, detailing best practices for packaging code, models, and datasets. It covers requirements for review-time reproducibility (sealed-box rules) and long-term public release (licensing, provenance, and version pinning), ensuring that the work is runnable by any skeptical third party.

A comprehensive guide for authors preparing the final, camera-ready version of a CVPR accepted paper. It details the multi-channel publication requirements (CVF open access, IEEE Xplore), the necessary steps for de-anonymization, ensuring timely dataset release, optimizing presentation formats (Oral, Poster), and conducting rigorous quality assurance checks before final submission.

A comprehensive guide for authors submitting to top-tier computer vision venues like CVPR. It details how to write highly concise, visually impactful, and rigorous academic papers that pass the 'two-pass reader' test. Focus areas include effective figure design, managing strict page budgets (including figures/tables), calibrating claims to avoid overstatement, and adopting professional technical writing norms.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

A detailed model of the ACM/IEEE Design Automation Conference (DAC) research manuscript review process. This guide explains the double-blind, TPC-driven, and single-shot nature of the evaluation, emphasizing the critical balance between genuine novelty and measured Quality-of-Results (QoR). It outlines the high standards for evidence fairness, benchmark credibility, and ablation studies required for acceptance, differentiating DAC's approach from architecture and software venues.

This comprehensive guide assists researchers and practitioners in selecting the optimal venue and track (e.g., DAC, ICCAD, ISCA) for their electronic design automation (EDA) or chip-design project. It clarifies the critical distinction between the archival Research Manuscript track and the industry-facing Engineering Track at DAC, emphasizing the need to frame contributions using measurable Quality of Results (QoR) improvements, novel algorithms, or real-world industrial lessons.

A comprehensive guide for authors drafting research manuscripts for the ACM/IEEE DAC conference. It teaches how to structure a deep, measurable contribution within a strict six-page, double-column format. Key principles include front-loading the contribution, stating results as a clear QoR delta (PPA), adhering to academic constraints (double-blind review, third-person citation), and prioritizing data tables over extensive background prose.

This tool maps the 'dark funnel,' identifying brand awareness and consideration signals from untracked sources like Reddit, AI chatbots, and word-of-mouth. It aggregates diverse data—including branded search trends, community mentions, and podcast data—to provide a comprehensive view of the true buyer journey, allowing marketers to measure influence beyond traditional analytics platforms.

A structured system for creating persistent journals that track project context, progress, and next steps. This method ensures that work survives session boundaries, allowing users to easily pick up where they left off, whether starting a session or winding down a project. It mandates clear entries detailing what was accomplished, the current state, and the immediate next action.

A comprehensive guide for analyzing and reporting longitudinal data in Developmental Psychology manuscripts, ensuring compliance with high academic standards. It emphasizes modeling developmental change (e.g., growth curves, multilevel models, SEM), establishing measurement invariance (configural, metric, scalar) before interpretation, and rigorously reporting effect sizes and confidence intervals (CIs) using JARS guidelines. It guides the distinction between confirmatory and exploratory findings.