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zero565656zero565656Community·1 Agent Skills Included

journal-recommender

Evidence-based academic journal recommendations from manuscript abstracts

Recommends suitable academic journals for a manuscript based on its abstract, discipline, and submission goals. Builds a challenge, target, and safety journal pool using current impact factors, CAS/JCR rankings, review speed, and APC data instead of guesswork. Flags publication risks like warning-list status, high self-citation, and unclear fees so researchers avoid costly submission mistakes.
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npx skills add zero565656/journal-recommender --all -g -y

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journal-recommender

Recommend academic journals from manuscript abstracts and user preferences.

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Frequently Asked Questions

FAQPage Schema
How to install journal-recommender?▼

Run `npx skills add zero565656/journal-recommender --all -g -y` in your terminal to install it globally for your agent runtime.

How to find suitable journals for my paper?▼

Paste your manuscript abstract and state your preferences such as target CAS/JCR tier, deadline, and APC budget. The skill returns a shortlist of 3-5 journals split into challenge, target, and safety picks with evidence for each.

Does it check for predatory or risky journals?▼

Yes. It applies hard exclusions for predatory or warning-list journals and adds visible warnings for issues like ESCI-only indexing, high self-citation, or unverified APCs.

Does journal-recommender work with Claude Code and Cursor?▼

Yes. It follows the open SKILL.md standard and runs in Claude Code, Codex, Cursor, OpenClaw, and other compatible runtimes.

Does it use real journal data or guesses?▼

It fetches current web data for impact factors, rankings, APCs, and review times, and marks anything it cannot verify as unconfirmed rather than fabricating facts.

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