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gexijin

@gexijin source repo

6 published skills

  1. R Pre Push Review · gexijin
    Reviews all staged/unstaged R code changes in a GitHub repo before the user pushes to a branch. Use this skill whenever the user wants to review their code changes before pushing, asks if their code is "ready to push", wants a pre-push check, or says things like "review my changes", "check my code before I push", "is my R code good to go", or "pre-push review". Works both automatically (via git diff in bash) and manually (user pastes a diff). Focuses on bugs & logic errors, security vulnerabilities, performance issues, and test coverage in R code.
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  2. Codex CLI · gexijin
    Execute tasks using OpenAI's Codex CLI. Use when asked to run codex, use OpenAI for code review, or delegate coding tasks to Codex. Supports non-interactive execution, code review, and task automation.
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  3. Word Document · gexijin
    Produce Word (.docx) documents from markdown manuscript sections. Use when asked to generate a Word document, create a docx, compile the manuscript, or export to Word. Assembles markdown sections, embeds figures/tables, and converts via pandoc with journal-ready formatting.
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  4. Rnaseq Analysis · gexijin bundle
    Analyze bulk RNA-seq count data using DESeq2. Use when asked to analyze RNA-seq data, perform differential expression analysis from count matrices, or when given a GEO accession (GSE*) with RNA-seq data. Handles raw count matrices with QC, normalization, statistical modeling, and gene ID mapping.
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  5. Literature Search · gexijin
    Search PubMed for scientific literature. Use when asked to find papers, search literature, look up publications, or gather references on a topic. Returns article titles, authors, abstracts, and PMIDs.
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  6. Microarray Analysis · gexijin bundle
    Analyze DNA microarray data from GEO datasets. Use when asked to analyze microarray data, perform differential expression analysis, or when given a GEO accession (GSE*). Handles Affymetrix (CEL files) and Illumina (BeadChip) platforms with QC, normalization, statistical modeling, and gene ID mapping.
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