Identifies optimal target journals for research papers using real-time data from OpenAlex and Crossref APIs to build data-driven submission strategies.
The g1 skill is a specialized tool for researchers and academics designed to streamline the publication process. By leveraging the Journal Intelligence MCP, it moves beyond simple Impact Factor rankings to provide a multi-dimensional analysis of potential publication venues. It evaluates journals based on scope fit, review timelines, Open Access policies, and publication trends. The skill guides users through a structured workflow that includes initial discovery, comparative analysis, and the generation of comprehensive submission plans, including tailored cover letters and reviewer recommendations based on live citation data.
Key Features
01AI-assisted cover letter drafting and reviewer suggestion support
02Automated generation of sequential submission plans and backup strategies
03Real-time journal metrics integration via OpenAlex and Crossref APIs
04Side-by-side journal comparison tables and historical publication trends
05Multi-dimensional ranking based on custom priorities like speed, impact, or OA
060 GitHub stars
Use Cases
01Finding the best-fit journals for a specific research abstract and academic field
02Developing a tiered submission strategy to maximize publication success
03Comparing journals based on review speed, acceptance rates, and APC costs