このリポジトリの skills
SkillsMP は beita6969/ScienceClaw から 172 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
beita6969/ScienceClaw収集済み skill 172 件中 40 件を表示しています。
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…
原文の言語: 英語
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify…
原文の言語: 英語
# Clinical Research
原文の言語: 英語
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.
原文の言語: 英語
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:…
原文の言語: 英語
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,…
原文の言語: 英語
COPYRIGHT NOTICE
原文の言語: 英語
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)…
原文の言語: 英語
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.
原文の言語: 英語
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,…
原文の言語: 英語
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.
原文の言語: 英語
COPYRIGHT NOTICE
原文の言語: 英語
COPYRIGHT NOTICE
原文の言語: 英語
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.
原文の言語: 英語
COPYRIGHT NOTICE
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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,…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
Verify scientific claims, political statements, and environmental assertions against evidence
原文の言語: 英語
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or…
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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.…
原文の言語: 英語
Performs geospatial data analysis including GIS operations, spatial statistics, remote sensing image processing, geocoding, and cartographic visualization; trigger when users discuss maps, coordinates, satellite imagery, spatial patterns, or geographic data.
原文の言語: 英語
Assists with research grant proposal writing including specific aims, significance framing, innovation articulation, approach design, and budget justification for NIH, NSF, ERC, and other funding agencies; trigger when users discuss grant proposals, funding…
原文の言語: 英語
Structured hypothesis generation workflow. Use when: user needs to formulate testable scientific hypotheses from observations, gaps, or preliminary data. NOT for: testing hypotheses or running experiments.
原文の言語: 英語
Extract structured entities, relations, and clauses from scientific and legal documents
原文の言語: 英語
Query the KEGG REST API for metabolic pathways, genes, compounds, drugs, and diseases. Use when the user needs pathway mapping, gene-to-pathway links, compound info, or cross-reference ID conversion. NOT for protein sequences (use UniProt), 3D structures (use…
原文の言語: 英語
Discover patterns, build knowledge graphs, and extract insights from linguistic and historical data
原文の言語: 英語
COPYRIGHT NOTICE
原文の言語: 英語
Write and format LaTeX documents for academic journals. Use when: user asks to write LaTeX code, format papers for specific journals (Nature/Science/IEEE/ACM), create equations, tables, or BibTeX entries. NOT for: non-LaTeX writing (use paper-writing), data…
原文の言語: 英語
Lean 4 theorem prover for formal verification. Use when: formal theorem proving, mathematical verification, proof search, type theory exploration. NOT for: numerical computation (use scipy), symbolic math (use sympy), statistical analysis (use statsmodels).
原文の言語: 英語
Analyze legal contracts, extract clauses, and perform legal research with structured frameworks
原文の言語: 英語