kkunkunya

Journal Research Agent Plugins — Development skill for Claude Code

Development community

Agent plugins for CN and EN journal targeting: candidate discovery, source verification, risk screening, and 2+2 journal decision matrices.

How to install Journal Research Agent Plugins

This entry records only its repository, not the path inside it, so there is no exact command to give. Open kkunkunya/journal-research-agent-plugins and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Journal Research Agent Plugins does

Agent plugins for CN and EN journal targeting: candidate discovery, source verification, risk screening, and 2+2 journal decision matrices.

Alternatives in Development

PaperSpine — PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central a 5k ★
Ii Researcher — II-Researcher: a new open-source framework designed to aid building search / research agents 505 ★
Claude Code — Claude Code Source - Buildable Research Fork 287 ★

README

Journal Research Agent Plugins

Portfolio positioning

This is a portfolio-facing Agent/Plugin project for journal targeting, source verification, and research workflow decisions. It is part of my reusable academic-agent toolkit for Claude Code and Codex.

Two agent plugins for choosing target journals before a paper is written.

![Journal research plugin cover](assets/journal-research-plugins-cover.png)

This repository packages two independent academic journal research plugins:

journal-research-cn: Chinese journal targeting with domestic catalogs, rank labels, Muchong-style author feedback, and official identity checks.
journal-research-en: English and SCI journal targeting with OpenAlex, Crossref, dblp, B!SON, arXiv, Google Scholar style exploration, LetPub profile checks, authority verification, and predatory-risk screening.

The core workflow is practical: build a candidate pool, verify the sources, screen risk, then output a decision matrix with 2 primary journals, 2 backups, and 1 not-recommended target. The plugins are separated because Chinese and English journal data sources, anti-bot boundaries, and ranking systems are materially different.

Why This Exists

Many students and early researchers ask an AI model to recommend a journal after the paper is nearly done. That is backwards. Journal targeting should happen before the experiment and writing plan are locked, because venue choice affects methods, formatting, timeline, risk, and review difficulty.

These plugins turn that judgment into an agent-readable workflow. They do not claim to replace supervisor review or editorial judgment. They make the evidence gathering repeatable.

What Is Included

plugins/
  journal-research-cn/
    skills/
      cn-orchestrator/
      cn-discover-by-catalog/
      cn-discover-by-paper/
      easyscholar-rank/
      muchong-cn-journal-review/
      nppa-validator/
  journal-research-en/
    skills/
      journal-research-orchestrator/
      ai