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ABS-Journal

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AI-assisted journal recommendations from AJG data.

Data & Analytics#offline#publication-strategy#local-data#journal-recommendation#AJG#hybrid-ai
Authorcanyangliunian
Version1.0.0
Installs0

System Documentation

What problem does it solve?

ABS-Journal helps researchers identify suitable publication venues for manuscripts by leveraging a local Chartered ABS AJG dataset, enabling offline, deterministic journal recommendations and optional data updates.

Core Features & Use Cases

  • Hybrid workflow: combines local AJG data with optional AI-assisted filtering to improve match quality without external API calls.
  • Offline-first: relies on assets/data/ajg_<year>_journals_core_custom.csv and local candidate pools to avoid network access.
  • Use Case: a researcher wants to shortlist target journals for a paper on trade policy and needs a ranked list with Field and rationale.

Quick Start

Run the hybrid workflow with your paper title to generate local AJG-based journal recommendations.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ABS-Journal
Download link: https://github.com/canyangliunian/Agent-skills/archive/main.zip#abs-journal

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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