Org-GAgent
Official@org-gagent
Offers a comprehensive suite for scientific data analysis, computational biology, cheminformatics, and publication-ready technical documentation generation.
Agent Skills by Org-GAgent
Showing 156 vetted skills indexed across 1 GitHub repositories.
xlsx
Create, edit, and analyze Excel-compatible spreadsheets with formulas and formatting.
senior-data-scientist
This is a test.
metabolomics-workbench-database
Query Metabolomics Workbench studies and metabolites via REST API.
benchling-integration
Automate Benchling integrations for DNA/RNA sequences, inventory, ELN entries, and workflows.
networkx
Analyze complex networks and graphs using Python and NetworkX.
anndata
Create and manipulate annotated matrices for single-cell analysis in H5AD format.
scikit-survival
Model and evaluate survival analysis workflows on censored data using scikit-survival.
qiskit
Design, simulate, and execute quantum circuits on IBM backends.
uspto-database
Query USPTO PatentSearch, PEDS, TSDR, and assignment APIs for IP intelligence.
scientific-brainstorming
Guide scientists through structured ideation to generate hypotheses and experimental designs.
kegg-database
Query KEGG REST endpoints for pathways, genes, and compounds.
pymc-bayesian-modeling
Automate Bayesian modeling and inference with PyMC workflows.
paper-2-web
Convert LaTeX or PDF papers into interactive, layout-aware websites.
perplexity-search
Automate web searches via Perplexity models on OpenRouter with source citations.
research-lookup
Select Sonar Pro or Sonar Reasoning Pro for OpenRouter scholarly lookups with citations.
shap
Explain model predictions by attributing outputs to input features using SHAP.
zinc-database
Retrieve ZINC compounds by ID or SMILES with similarity searches and 3D structures.
umap-learn
Reduce high-dimensional data to low-dimensional embeddings using UMAP.
imaging-data-commons
Discover and retrieve public IDC imaging data using idc-index queries.
sympy
Perform symbolic math computations with Python's SymPy library.
vaex
Analyze datasets larger than RAM with lazy, out-of-core DataFrames.
alphafold-database
Retrieve AlphaFold protein structures and confidence metrics via REST API.
dask
Distribute Pandas/NumPy workflows across cores and clusters with lazy execution.
get-available-resources
Detect CPU, GPU, memory, and disk resources and generate a .claude_resources.json report.
Frequently Asked Questions About Org-GAgent
FAQPage SchemaWhat specific scientific tasks can be performed using these capabilities?βΌ
These capabilities enable end-to-end scientific research, including genomic sequence analysis, metabolic modeling, molecular docking, mass spectrometry data processing, and the generation of publication-ready figures, infographics, and LaTeX-formatted manuscripts.
Who is the target persona for this technical registry?βΌ
The target personas are computational biologists, bioinformaticians, medicinal chemists, and data scientists working in academic or pharmaceutical research environments who require structured access to biological databases and computational modeling frameworks.
What are the prerequisites for running these scientific modules?βΌ
Users require a Python-based environment with standard scientific libraries installed, such as NumPy, Pandas, and SciPy, alongside specific domain-dependent dependencies like RDKit for chemistry or Biopython for sequence analysis.