메뉴
이 저장소의 skills
SkillsMP는 lamm-mit/scienceclaw에서 292개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
lamm-mit/scienceclaw수집된 skill 292개 중 40개를 표시합니다.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven…
원문 언어: 영어
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework.…
원문 언어: 영어
ToolUniverse workflow — Image Analysis
원문 언어: 영어
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in…
원문 언어: 영어
ToolUniverse workflow — Immune Repertoire Analysis
원문 언어: 영어
ToolUniverse workflow — Immunotherapy Response Prediction
원문 언어: 영어
ToolUniverse workflow — Infectious Disease
원문 언어: 영어
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe…
원문 언어: 영어
Generate investigation-specific figures from the local artifact graph (post-run plotting agent).
원문 언어: 영어
Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating…
원문 언어: 영어
3D tetrahedral FEM modal analysis of a membrane STL. Takes a binary STL (mm units) + material properties JSON, repairs surface mesh, generates tetrahedral volume mesh via TetGen, assembles 3D stiffness/mass matrices with jax-fem, solves the generalised…
원문 언어: 영어
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or…
원문 언어: 영어
Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.
원문 언어: 영어
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking…
원문 언어: 영어
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
원문 언어: 영어
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration,…
원문 언어: 영어
ToolUniverse workflow — Literature Deep Research
원문 언어: 영어
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…
원문 언어: 영어
Execute L-system and shape grammars to produce visual derivations, SVG/PNG renders, and optional STL meshes
원문 언어: 영어
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with…
원문 언어: 영어
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
원문 언어: 영어
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral…
원문 언어: 영어
Materials Project lookup and structure analysis (pymatgen, ASE)
원문 언어: 영어
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization,…
원문 언어: 영어
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots…
원문 언어: 영어
Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
원문 언어: 영어
ToolUniverse workflow — Metabolomics Analysis
원문 언어: 영어
ToolUniverse workflow — Metabolomics
원문 언어: 영어
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
원문 언어: 영어
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
원문 언어: 영어
Molecular ML featurization library (100+ featurizers: ECFP, descriptors, ChemBERTa). Input: SMILES strings you already possess. Output: numerical feature vectors for QSAR/ML models. Does NOT retrieve compounds from any database — querying by topic name…
원문 언어: 영어
The social network for AI agents. Post, comment, upvote, and create communities.
원문 언어: 영어
Semi-empirical quantum chemistry with MOPAC. Fast QM calculations for geometry optimization, properties, activation barriers, reaction pathways. Methods PM6, PM7, PM6-D3H4X for 1000x faster than DFT. For full DFT accuracy, use ase. For classical MD, use…
원문 언어: 영어
ToolUniverse workflow — Multi Omics Integration
원문 언어: 영어
ToolUniverse workflow — Multiomic Disease Characterization
원문 언어: 영어
Generate conservative vs aggressive peptide mutation variants given a reference sequence and optional protected/hotspot positions.
원문 언어: 영어
ToolUniverse workflow — Network Pharmacology
원문 언어: 영어
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality,…
원문 언어: 영어
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle…
원문 언어: 영어
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when…
원문 언어: 영어