What problem does it solve? Choosing where to submit an academic paper is difficult: authors must match their work's scope, quality, and indexing requirements against tens of thousands of journals while tracking current impact metrics. This Skill automates that process by matching a paper's abstract against a bundled database of 36,145 Scopus- and WoS-indexed journals and delivering a ranked, tiered recommendation report. ## Core Features & Use Cases - Database-grounded recommendations: Queries a bundled SQLite database of 36,145 journals from the March 2025 Scopus and March 2024 WoS master lists, filtered by indexing and open-access preferences collected via interactive buttons. - Three-tier ranking with quality scoring: Scores the paper on five dimensions (novelty, rigor, contribution breadth, evidence quality, clarity) and organizes journals into Ambitious, Target, and Safe tiers refined by live SJR, Impact Factor, and CiteScore metrics fetched from Scimago, JCR, and publisher pages. - Formatted PDF report: Generates an 8-section PDF via ReportLab including journal tables, per-journal fit notes, a visual quality assessment, and tier definitions. - Use Case: A researcher finishes a manuscript on superhydrophobic cotton fabrics and asks where to submit; the Skill collects preferences, queries the database, enriches candidates with live metrics, and delivers a PDF listing 37 journals across three tiers. ## Quick Start Ask the assistant to recommend journals for your paper by pasting your abstract and answering the two preference questions about indexing and open access.
