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K-

@K-Dense-AI

contributor on implexa, with 3 skills ranked by SkillRank across 1 source.

K-Dense-AI on githubpublishes to smithery
skills
3
avg SkillRank
—
0 scored / 3 total
total stars
24,696
across 3 repos
total installs
46
across 3 repos

skills, ranked by SkillRank

scoresourceskill
—smithery
literature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
—smithery
pubmed-database
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
—smithery
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
K-Dense-AI (3 skills ranked by SkillRank) | implexa