Agent skill · writing content · aradotso
marketing-science-writing
AI agent skill for writing marketing science academic papers from topic selection through structural modeling, identification, estimation, and full draft assembly.
Why this skill is useful
Adds comprehensive guidance for writing marketing science papers, including specific methodologies and LaTeX formatting that are not commonly known.
What it needs
Requires git installed locally. About 9k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.
What this skill does
Marketing Science Academic Writing Skill Skill by ara.so — Marketing Skills collection. A comprehensive skill for AI coding agents to guide researchers through the complete pipeline of writing marketing science academic papers — from topic positioning and consumer utility modeling through identification design, structural estimation, counterfactual simulations, and full manuscript assembly. Covers 8 flagship marketing journals: Marketing Science, JMR, JM, JCR (UTD-24 tier) and JAMS, IJRM, QME, Marketing Letters. What This Skill Enables This skill teaches AI agents to help researchers with: Topic Positioning: Gap analysis, journal selection, contribution framing Consumer Utility Modeling: Micro-founded demand systems (logit, nested logit, random coefficients) Identification Strategy: DID, RDD, IV, structural identification for causal inference Estimation Methods: BLP, GMM, MLE, Bayesian estimation workflows Counterfactual Simulations: Merger analysis, policy simulations, welfare calculations Experimental Design: Field experiments, conjoint analysis, A/B testing Full Draft Assembly: LaTeX manuscript generation with INFORMS formatting The skill is domain-specific for marketing journals, encoding conventions that generic academic writing skills don't cover (e.g., structural model presentation, identification justification, counterfactual design, reviewer expectations). Installation 1. Clone Repository 2. Install for Your AI Agent OpenCode Or add to ~/.config/opencode/opencode.json: Claude Code Cursor / Windsurf / Other Agents The 5-Stage Pipeline The skill guides agents through a 0-to-Draft Pipeline: Stage Output Key File Reference ------- -------- ------------------- 1. Topic Positioning Gap table, journal choice, contribution list references/journal-characteristics.md 2. Consumer Utility Model Utility specification, demand derivation, notation references/modeling-conventions.md 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/marketing-science-writing