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SkillsMP は lamm-mit/scienceclaw から 292 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。
lamm-mit/scienceclaw収集済み skill 292 件中 40 件を表示しています。
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For…
原文の言語: 英語
ToolUniverse workflow — Statistical Modeling
原文の言語: 英語
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided…
原文の言語: 英語
Render publication-quality PNG views of any binary STL file — isometric (3-D perspective), top-down XY projection, and XZ cross-section at Y midpoint. All dimensions derived from the STL bounding box; nothing hardcoded. Optionally uploads to imgur and returns…
原文の言語: 英語
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
原文の言語: 英語
ToolUniverse workflow — Structural Variant Analysis
原文の言語: 英語
Identify peptide–protein contact hotspots from a PDB structure (local file or fetched from RCSB) and emit binding hotspot positions.
原文の言語: 英語
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic…
原文の言語: 英語
ToolUniverse workflow — Systems Biology
原文の言語: 英語
ToolUniverse workflow — Target Research
原文の言語: 英語
Predict binding-related effects (ADMET) using TDC models from Hugging Face
原文の言語: 英語
Access 1000+ scientific tools from Harvard's ToolUniverse — bioinformatics, drug discovery, genomics, clinical research, and more
原文の言語: 英語
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
原文の言語: 英語
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For…
原文の言語: 英語
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image…
原文の言語: 英語
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management.…
原文の言語: 英語
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
原文の言語: 英語
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific…
原文の言語: 英語
Protein sequence, function, and annotation lookup. Query MUST be a bare gene symbol or protein name — 1 to 3 words maximum. Valid examples: 'KRAS', 'EGFR', 'BTK', 'TP53', 'Bruton tyrosine kinase', 'P01116'. If the topic is 'sotorasib KRAS G12C', the correct…
原文の言語: 英語
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
原文の言語: 英語
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on…
原文の言語: 英語
ToolUniverse workflow — Variant Analysis
原文の言語: 英語
ToolUniverse workflow — Variant Interpretation
原文の言語: 英語
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF,…
原文の言語: 英語
Search the web for scientific information using DuckDuckGo
原文の言語: 英語
Extract and preview data from Excel and CSV spreadsheets for scientific analysis
原文の言語: 英語
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
原文の言語: 英語
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
原文の言語: 英語
Cognitive pattern extraction system that maps unique thinking fingerprints through structured analysis of reasoning, creativity, emotion, and ethics. Identifies decision patterns and thinking topology. Use for author characterization, team composition…
原文の言語: 英語
Comprehensive geospatial science skill covering 70+ topics in remote sensing, GIS, spatial analysis, and machine learning for Earth observation. Processes satellite imagery (Sentinel, Landsat, MODIS), vector/raster data, point clouds. Supports 8 programming…
原文の言語: 英語
Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species. Integrates OMIM, ORPHANET, HPO, ClinVar, and model organism databases. Use for rare disease gene discovery, phenotype-to-gene mapping, cross-species disease…
原文の言語: 英語
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory…
原文の言語: 英語
Document toolkit (.docx). Create/edit documents, tracked changes, comments, formatting preservation, text extraction, for professional document processing.
原文の言語: 英語
PDF manipulation toolkit. Extract text/tables, create PDFs, merge/split, fill forms, for programmatic document processing and analysis.
原文の言語: 英語
Presentation toolkit (.pptx). Create/edit slides, layouts, content, speaker notes, comments, for programmatic presentation creation and modification.
原文の言語: 英語
Generate comprehensive one-page commodity profiles with production, trade, risk, research, policy, and web intelligence data
原文の言語: 英語
Monitor government and regulator releases relevant to critical minerals and materials via domain-targeted web discovery with policy tagging
原文の言語: 英語
Discover critical-minerals and materials signals from newspapers, blogs, and industry media using web search, with normalized policy/commodity tagging
原文の言語: 英語
Ingest and normalize web pages for critical-minerals intelligence, with optional Firecrawl fetching, deduplication manifest, and JSONL export
原文の言語: 英語
Query BGS World Mineral Statistics for production, imports, and exports by commodity, country, and year
原文の言語: 英語