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Astronomical data analysis with astropy and astroquery — FITS I/O, WCS transforms, catalog cross-matching, aperture photometry, and CMB power spectra.

Seismological data analysis with ObsPy — FDSN waveform download, response removal, phase picking, moment tensor inversion, and seismicity mapping.

Download and analyze oceanographic data from Copernicus Marine Service and Argo floats using copernicusmarine, gsw, and xarray.

Use this Skill to process oral history recordings: Whisper transcription with timestamps, pyannote speaker diarization, OHMS metadata XML, and speaker anonymization.

Educational psychology experiment design and analysis covering IRT, growth modeling, A/B testing, and learning curve estimation for research.

Knowledge graph construction, SPARQL querying, and entity linking for library and research data management using RDF and Wikidata.

Bibliometric analysis using the OpenAlex API covering co-authorship networks, citation analysis, h-index, and research trend mapping.

Patent landscape analysis with IPC classification, citation networks, technology emergence detection, and inventor collaboration mapping.

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), CESD-10 depression screening, social isolation index construction, and chronic disease coding. Also use for any CHARLS data cleaning, variable construction, or cohort selection task.

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 full pipeline: data exploration, variable identification/mapping, sample filtering, variable construction, statistical analysis, result comparison, and documentation. Applicable to any observational study, clinical cohort, or survey-based research paper.

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 (PubMed, bioRxiv), pathway analysis, protein structure prediction, or scientific writing tasks.

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.

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, business-oriented, academic-grade with Material Design color palette.

CJK (中日韩) 字体检测与 matplotlib 配置。任何涉及中文标签、标题、图例的 可视化任务启动前必须先执行本 skill 的字体检测流程，确保不会出现方块乱码。 适用于 matplotlib / seaborn / plotly 静态导出等场景。