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    Keywords Generator

    1

    Generate keywords that get your paper found, aligned to journal taxonomies and search behavior.

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    keywords-generator

    keywords-generator

    Example session with this skill installed

    Use keywords-generator to generate keywords for my paper on graph neural networks for drug-drug interaction prediction.

    • Read your context and instructions
    • Compiled the keywords-generator

    Generated a 6-keyword core set plus venue-specific variants and a coverage check against the paper's topics.

    Core keyword set (6)

    1. graph neural networks
    2. drug-drug interaction prediction
    3. molecular representation learning
    4. pharmacovigilance
    5. link prediction
    6. biomedical knowledge graphs

    Venue-specific variants

    VenueKeyword focus
    Bioinformatics (OUP)drug interaction prediction, graph neural network, polypharmacy
    J. Cheminformaticsmolecular graph representation, DDI prediction, deep learning
    IEEE/ACM TCBBgraph neural network, drug safety, computational pharmacology

    Coverage check

    Paper topicCovered by keyword
    GNN architectureYes, #1
    DDI prediction taskYes, #2
    Molecular featuresYes, #3
    Clinical relevanceYes, #4
    Evaluation (AUC-PR)Missing, add AUC-PR evaluation or drop

    Recommendation

    • Put graph neural networks and drug-drug interaction prediction first, since they have the highest search volume.
    • Add one method keyword, such as "message passing," if the venue indexes by method.

    Next steps

    • Use these in the manuscript metadata and on the preprint server.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate keywords mapped to ACM, IEEE, and Scopus taxonomiesOptimize paper metadata for arXiv and SSRN discoverabilityBalance keyword tiers for search engines and reviewer matchingAudit keyword coverage against paper title and abstract content

    About this skill

    The problem

    A great paper with bad keywords is invisible. Poorly chosen terms bury your paper in databases, misroute it to the wrong reviewers, and cost it citations. This skill fixes that.

    What it does

    • Generates optimized keyword sets aligned with target journal and conference taxonomies.
    • Checks keyword coverage of your paper's core topics.
    • Suggests strategies for database indexing, SEO, and reviewer-matching systems.
    • Produces venue-specific variants and flags terms to avoid.

    Why this beats prompting it yourself

    General prompts return a handful of obvious terms with no strategy. This skill classifies keywords into tiers, maps them to the venue's taxonomy, and runs a coverage check so no core topic goes unindexed.

    Use cases

    • Finalizing keywords for a paper submission.
    • Matching keywords to a journal or conference subject taxonomy.
    • Optimizing for academic search engines and reviewer assignment systems.
    • Preparing metadata for arXiv, SSRN, or an institutional repository.

    Known limitations

    It works from the title and abstract you provide, and it cannot verify live search volumes or taxonomy databases; confirm the final mapping against the venue's official subject list.

    Important

    It generates and optimizes keyword sets; it does not submit them or guarantee indexing. Run it after the abstract is final, then pass the metadata to journal-selector.

    Why buy it

    Use it when finalizing a submission or preparing metadata for a preprint server. It is the final step of the Write Pack: make the finished paper discoverable.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 13 days ago

    • Passed all security checks, Safe to install

    Listed13 days ago

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