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ScienceClaw
ScienceClaw contains 137 collected skills from beita6969, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
# Academic Literature Search — 学术文献检索与引用管理
Search arXiv for preprints in physics, math, CS, quantitative biology, quantitative finance, statistics, electrical engineering, economics. Use when: (1) finding preprints by topic, (2) searching by author, (3) browsing arXiv categories, (4) getting paper metadata/abstracts. NOT for: published journal articles (use crossref-search), biomedical (use pubmed-search).
Screen papers for systematic reviews using ASReview active learning. Use when: user has a large set of papers to screen for inclusion/exclusion, wants to prioritize relevant papers, or needs to reduce manual screening workload. NOT for: searching papers (use literature-search) or meta-analysis (use meta-analysis).
Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter estimation; trigger when users discuss stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.
"Astronomical computations via Astropy. Use when: user asks about celestial coordinates, FITS files, or cosmological calculations. NOT for: telescope control or real-time observation planning."
Performs bioinformatics analyses including pathway enrichment, gene ontology analysis, protein-protein interaction networks, multi-omics integration, and biological sequence database querying; trigger when users discuss gene sets, biological pathways, functional annotation, or omics data integration.
"Bioinformatics operations via Biopython. Use when: user asks about DNA/protein sequences, BLAST, or PDB structures. NOT for: clinical genomics or variant calling pipelines."
Performs biostatistical analyses specialized for clinical and biomedical research including survival analysis, Kaplan-Meier estimation, Cox proportional hazards regression, longitudinal data modeling, and diagnostic test evaluation; trigger when users discuss clinical outcomes, survival curves, or biomedical study statistics.
US Census Bureau data via API. Use when: user asks about US demographics, population, housing, or economic data by geography. NOT for: non-US data or real-time statistics.
"Query the ChEMBL REST API for drug-target interactions, bioactivity data, ADMET properties, and approved drug information. Use when the user needs drug mechanism of action, binding affinity data, target information, or pharmacokinetic properties. NOT for basic compound lookup (use pubchem-compound), NOT for gene-disease associations (use open-targets), NOT for protein 3D structures (use pdb-structure)."
# Chemistry & Drug Discovery
Computational chemistry tools including molecular structure, chemical reactions, thermodynamics, spectroscopy analysis, and cheminformatics. Use when user works with chemical formulas, molecular structures, reaction balancing, thermodynamic calculations, or chemical databases (PubChem, ChemSpider). Triggers on "chemical structure", "molecular weight", "balance equation", "reaction", "thermodynamics", "spectroscopy", "SMILES", "PubChem", "chemical formula", "stoichiometry".
Analyze citation networks, compute bibliometric indicators, and identify research fronts. Use when: user asks about citation patterns, h-index, co-authorship networks, research trends, or bibliometric analysis. NOT for: literature searching (use literature-search) or writing papers (use paper-writing).
# Clinical Research
Designs and analyzes clinical trials including sample size calculation, randomization schemes, endpoint selection, CONSORT reporting, and interim analysis planning; trigger when users ask about RCTs, Phase I-IV trials, or clinical study design.
Execute scientific Python code for computation, data analysis, simulation, and verification. Use when: (1) running statistical analyses, (2) numerical computation, (3) data processing pipelines, (4) verifying calculations, (5) running simulations. NOT for: literature search (use literature-search), writing papers (use paper-writing), or non-computational tasks.
Scientific programming best practices including reproducible research, computational notebooks, version control for research, data management, HPC/parallel computing, and research software engineering. Use when user needs help with research code organization, reproducibility, scientific Python/R workflows, or computational infrastructure. Triggers on "reproducible research", "research code", "scientific computing", "HPC", "parallel computing", "Jupyter", "notebook", "data management plan", "research software", "code review for science".
COPYRIGHT NOTICE
Access Copernicus Climate Data Store (CDS) for ERA5 reanalysis, climate projections, and satellite observations. Use when: (1) retrieving historical weather/climate data, (2) downloading ERA5 reanalysis fields, (3) querying climate projections (CMIP), (4) getting satellite-derived climate variables. NOT for: real-time weather forecasts (use weather APIs), ocean biology (use Copernicus Marine), air quality (use CAMS).
Academic metadata search via CrossRef API. Use when: user needs DOI resolution, citation counts, journal metadata, or publisher info. NOT for: full-text access or downloading papers.
Scientific data analysis including data cleaning, exploratory data analysis (EDA), statistical testing, regression, and reporting. Uses Python with pandas, scipy, statsmodels, scikit-learn. Use when user asks to analyze data, clean a dataset, run statistics, do EDA, fit a model, or process CSV/Excel files. Triggers on "analyze this data", "clean my dataset", "run regression", "EDA", "descriptive statistics", "data processing", "correlation analysis".
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
COPYRIGHT NOTICE
COPYRIGHT NOTICE
Computer science bibliography via DBLP API. Use when: user asks about CS publications, author publication lists, or venue (conference/journal) metadata. NOT for: non-CS publications or citation counts.
COPYRIGHT NOTICE
Orchestrates a full drug discovery workflow from target identification through lead optimization. Use when searching for drug candidates against a biological target, evaluating compound libraries, or optimizing hits for drug-likeness. NOT for pure protein structure analysis or single-compound lookups.
Supports drug discovery workflows including target identification, virtual screening, ADMET prediction, lead optimization, pharmacokinetics modeling, and drug repurposing analyses; trigger when users discuss drug targets, compound libraries, medicinal chemistry, or pharmaceutical development.
Economic analysis including econometrics, causal inference, time series economics, game theory, welfare analysis, and economic modeling. Use when user works with economic data, regression analysis, instrumental variables, difference-in-differences, RDD, panel data, or economic theory. Triggers on "econometrics", "regression", "causal inference", "instrumental variable", "difference-in-differences", "panel data", "game theory", "supply demand", "GDP", "inflation", "economic model".
Supports education research including pedagogical method evaluation, learning analytics, assessment design, curriculum development analysis, and educational technology evaluation; trigger when users discuss teaching effectiveness, learning outcomes, educational interventions, or student performance data.
Analyzes energy systems including renewable energy resource assessment, power grid modeling, battery storage optimization, energy efficiency evaluation, and techno-economic analysis of energy technologies; trigger when users discuss solar, wind, grid integration, energy storage, or power system design.
Analyzes environmental and climate data including temperature trends, pollution monitoring, ecological modeling, carbon footprint assessment, and biodiversity metrics; trigger when users discuss climate change, ecosystems, pollutants, or sustainability assessments.
Performs epidemiological analyses including disease modeling (SIR/SEIR), outbreak investigation, risk factor identification, incidence/prevalence estimation, and causal inference from observational data; trigger when users discuss disease spread, public health data, or population-level health patterns.
Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Covers RCTs, quasi-experiments, factorial designs, A/B tests, survey design, and observational studies. Use when user asks to design an experiment, calculate sample size, plan a study, set up controls, or create a research protocol. Triggers on "design experiment", "sample size", "power analysis", "study design", "control group", "randomization", "A/B test", "factorial design", "survey design".
Design rigorous scientific experiments with power analysis and controls. Use when: user needs to plan an experiment, calculate sample sizes, or set up controls. NOT for: running experiments or analyzing collected data.
Verify scientific claims, political statements, and environmental assertions against evidence
Analyzes food science topics including nutritional composition, food chemistry, food safety hazard analysis, sensory evaluation design, and food processing optimization; trigger when users discuss nutrients, food additives, HACCP, shelf life, or food product development.
Performs genomics analyses including gene expression profiling, BLAST sequence alignment, GWAS interpretation, variant calling, and genome assembly tasks; trigger when the user mentions DNA/RNA sequences, SNPs, gene panels, or comparative genomics.
Orchestrates a genomics analysis workflow from gene query through expression analysis to pathway enrichment. Use when investigating gene function, analyzing expression data, or performing pathway-level interpretation. NOT for pure protein structure modeling or drug-target interaction analysis.
Geospatial and climate data analysis with geopandas and xarray. Use when: (1) geographic vector data analysis, (2) climate and weather NetCDF data, (3) spatial joins and overlay operations, (4) map visualization, (5) CRS transformations and area calculations. NOT for: satellite imagery ML (use rasterio/torchgeo), real-time GPS tracking, or interactive web maps (use folium/leaflet directly).