Dispatch biomedical research and data analysis tasks to Claude Code with K-Dense Scientific Skills. Use this skill when the user asks to run any bioinformatics, genomics, drug discovery, clinical data analysis, proteomics, multi-omics, medical imaging, or scientific computation task. Also use for literature search…
CHARLS (China Health and Retirement Longitudinal Study) database-specific knowledge for reproducing published papers. Use when reproducing or analyzing papers that use CHARLS data, including variable mapping from harmonized to raw questionnaire items, cognitive function scoring (episodic memory, mental status, TICS)…
A setup guide for making matplotlib, seaborn, and Plotly charts display Chinese, Japanese, and Korean text correctly. These languages need suitable fonts to avoid missing-character boxes.
Send rich interactive cards with embedded images in Feishu group chats. Use when reporting progress, sharing analysis results, or presenting any content that benefits from mixed text+image layout in Feishu. Combines SVG UI templates (or matplotlib/PIL charts) with Feishu Card Kit API.
Systematic methodology for reproducing published academic papers using provided data. Use when the user asks to reproduce, replicate, or verify results from a published paper, including sample selection, descriptive statistics, regression analyses, and generating reproduction reports (Markdown + LaTeX PDF). Covers the…
Generate professional SVG UI panels for structured information display. Use when presenting lists, task checklists, pipeline/dependency status diagrams, or rich-text report layouts as SVG images. Covers four templates - list-panel, checklist-panel, pipeline-status, richtext-layout. Style is professional…
Use this Skill to structure research grant proposals: NSF/NIH Specific Aims, budget justification, ERC narrative sections, structured abstracts, and biosketch formatting.
Use this Skill when the user needs to search academic literature, collect papers for a systematic review, or find the latest research on any topic. Covers cross-database search via OpenAlex API, Semantic Scholar API, and arXiv API, with deduplication, citation snowballing, BibTeX export, and annual trend visualization.
Use this Skill to pool effect sizes across studies: fixed/random-effects models, heterogeneity tests (I², Cochran Q), forest plot, funnel plot, Egger test, and subgroup analysis using pymare or manual computation.
Use this Skill to apply machine learning in research: scikit-learn pipelines, FLAML AutoML, SHAP explainability, nested cross-validation, and model cards.
Use this Skill to deposit, document, and share research data: Zenodo/OSF API upload, FAIR assessment, DMP generation, data dictionary, and Dublin Core/DataCite metadata.
Use this Skill to preregister a study on OSF or AsPredicted, generate CONSORT/STROBE/PRISMA compliance checklists, and track deviations between the registered protocol and final analysis.
Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.
Use this Skill to make a research project fully reproducible: conda/renv environment locking, DVC data versioning, Dockerfile for analysis, and FAIR data principles.
Use this Skill for research data lifecycle management: codebook generation, DVC versioning, anonymization (k-anonymity, pseudonymization), and README templates.
Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.
Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.
Use this Skill to design, validate, and deploy research surveys: Likert scale construction, attention checks, pilot testing, ICC reliability, and Qualtrics/LimeSurvey export.
Use this Skill when conducting a systematic literature review following PRISMA 2020: PICO framework, database search strategy, title/abstract screening, full-text eligibility, data extraction, and GRADE evidence grading.
Use this Skill for research version control: Git workflow for analysis code, DVC data pipelines, GitHub Actions for reproducibility CI, and .env secrets management.
Astronomical data analysis with astropy and astroquery — FITS I/O, WCS transforms, catalog cross-matching, aperture photometry, and CMB power spectra.
★not rated 34 6mo agoA42 tokens
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