
from awesome-journal-skills785
Executes and reports high-rigor data analysis for Administrative Science Quarterly (ASQ) manuscripts, bridging raw data to theory.
This skill provides a specialized framework for executing and reporting the analysis phase of an Administrative Science Quarterly (ASQ) manuscript. It ensures that the link between raw evidence and theoretical constructs is transparent, auditable, and meets the rigorous standards of top-tier organizational research.
Use this skill when you have a dataset but the path to theory is opaque, when qualitative coding needs documentation to ensure trustworthiness, or when quantitative results require deeper robustness checks to address theoretical threats.
Claude Code, Codex
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ICLR Submission Workflow
Project management for ICLR submissions, from topic selection and anonymization to OpenReview discussion and final camera-ready.
Psychological Science: Literature Positioning
Helps researchers compress and sharply position a Psychological Science manuscript within strict word and citation limits — state the gap, contribution, and bro
YLJ Legal Argument Structuring
Organizes Yale Law Journal articles into a professional doctrine → theory → normative argument arc.
Organization Science Writing Style
Polish manuscripts for Organization Science, focusing on interdisciplinary reach and INFORMS style.
AAAI Author Response Assistant
Expert guidance for drafting high-impact, character-limited AAAI conference rebuttals while adhering to strict formatting and content rules.
FSE Empirical Evaluation Expert
Guides the design and audit of empirical evaluations for software engineering research (ESEC/FSE), ensuring evidence matches claims.
JIE Data Analysis
Empirical analysis toolkit for Journal of International Economics (JIE) manuscripts.
CJC Camera-Ready & Proofreading Assistant
Guides the finalization and proofreading process for papers accepted by the Chinese Journal of Computers (CJC).
IPSN Academic Writing Style
Professional revision guide for IPSN papers, ensuring physical grounding, real-hardware evidence, and strict adherence to ACM budget.