synthetic-sciences/openscience

The open-source AI workbench for scientific research

About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

3.4kStars on the repository
200Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
Apache-2.0Licence, which decides whether bodies are shown

microbial-dynamics

25

synthetic-sciences/openscience

Skill Claude CodeCodex

Microbial population dynamics modeling and analysis. Bacterial growth curve fitting (logistic, Gompertz, Baranyi), Lotka-Volterra community dynamics, Gillespie stochastic simulation, biofilm quantification, CFU enumeration, and genome annotation. For metabolic modeling use cobrapy; for sequence analysis use biopython.

not rated 3.4k +23 yesterday A 71 tokens original Apache-2.0

molecular-cloning

26

synthetic-sciences/openscience

Skill Claude CodeCodex

Molecular cloning simulation and design. PCR amplicon prediction, restriction enzyme digestion, Golden Gate and Gibson assembly simulation, primer design, CRISPR sgRNA design, and plasmid annotation. For protein-level sequence analysis use biopython or esm; for database lookups use gene-database or ensembl-database.

not rated 3.4k +23 yesterday A 70 tokens original Apache-2.0

neurokit2

27

synthetic-sciences/openscience

Skill Claude CodeCodex

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 activity, or eye movements. Applicable for heart rate…

not rated 3.4k +23 yesterday A 96 tokens original Apache-2.0

synthetic-sciences/openscience

Skill Claude CodeCodex

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 working with neural recordings, spike sorting, extracellular…

not rated 3.4k +23 yesterday A 109 tokens original Apache-2.0

omero-integration

29

synthetic-sciences/openscience

Skill Claude CodeCodex

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

not rated 3.4k +23 yesterday A 39 tokens original Apache-2.0

synthetic-sciences/openscience

Skill Claude CodeCodex

Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.

not rated 3.4k +23 yesterday A 66 tokens original Apache-2.0

pathml

31

synthetic-sciences/openscience

Skill Claude CodeCodex

Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be…

not rated 3.4k +23 yesterday A 69 tokens original Apache-2.0

pharmacology-wetlab

32

synthetic-sciences/openscience

Skill Claude CodeCodex

Computational analysis of pharmacology wet-lab experiments. Western blot densitometry, xenograft tumor growth inhibition, pharmaceutical stability modeling (Arrhenius), radiolabeled antibody biodistribution, MIRD dosimetry, and adverse event grading. For drug databases use chembl-database or fda-database; for…

not rated 3.4k +23 yesterday A 79 tokens original Apache-2.0

synthetic-sciences/openscience

Skill Claude CodeCodex

Design and validate de novo protein binders with the current NVIDIA BioNeMo Agent Toolkit workflow, while adapting honestly when NVIDIA-hosted credentials are unavailable.

not rated 3.4k +23 yesterday A 35 tokens original Apache-2.0

synthetic-sciences/openscience

Skill Claude CodeCodex

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io…

not rated 3.4k +23 yesterday B 85 tokens original Apache-2.0

pydeseq2

35

synthetic-sciences/openscience

Skill Claude CodeCodex

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

not rated 3.4k +23 yesterday A 45 tokens original Apache-2.0

pydicom

36

synthetic-sciences/openscience

Skill Claude CodeCodex

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags…

not rated 3.4k +23 yesterday A 110 tokens original Apache-2.0

pyhealth

37

synthetic-sciences/openscience

Skill Claude CodeCodex

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC)…

not rated 3.4k +23 yesterday A 109 tokens original Apache-2.0

pylabrobot

38

synthetic-sciences/openscience

Skill Claude CodeCodex

Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API…

not rated 3.4k +23 yesterday A 73 tokens original Apache-2.0

pysam

39

synthetic-sciences/openscience

Skill Claude CodeCodex

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

not rated 3.4k +23 yesterday A 47 tokens original Apache-2.0

scanpy

40

synthetic-sciences/openscience

Skill Claude CodeCodex

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use…

not rated 3.4k +23 yesterday A 68 tokens original Apache-2.0

scikit-bio

41

synthetic-sciences/openscience

Skill Claude CodeCodex

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

not rated 3.4k +23 yesterday A 54 tokens copy · 84% Apache-2.0

scikit-survival

42

synthetic-sciences/openscience

Skill Claude CodeCodex

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions…

not rated 3.4k +23 yesterday A 91 tokens original Apache-2.0

scvi-tools

43

synthetic-sciences/openscience

Skill Claude CodeCodex

Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.

not rated 3.4k +23 yesterday A 65 tokens copy · 80% Apache-2.0

synthetic-biology

44

synthetic-sciences/openscience

Skill Claude CodeCodex

Synthetic biology design and simulation tools. Codon optimization, gene circuit ODE modeling with growth feedback, SBML model creation, bifurcation analysis, barcode sequencing fitness analysis, and therapeutic genome engineering. For metabolic modeling use cobrapy; for sequence tools use biopython.

not rated 3.4k +23 yesterday A 61 tokens original Apache-2.0

treatment-plans

45

synthetic-sciences/openscience

Skill Claude CodeCodex

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. Includes SMART goal frameworks, evidence-based…

not rated 3.4k +23 yesterday B 86 tokens original Apache-2.0

admet-prediction

46

synthetic-sciences/openscience

Skill Claude CodeCodex

ADMET property prediction for drug candidates. Full pharmacokinetic panel (Caco-2, PPB, clearance, CYP), toxicity (hERG, AMES, DILI), drug-likeness (Lipinski, QED), using RDKit descriptors and TDC models.

not rated 3.4k +23 yesterday A 63 tokens original Apache-2.0

admet-reasoning

47

synthetic-sciences/openscience

Skill Claude CodeCodex

Interpretable ADMET analysis with mechanistic reasoning. Maps liabilities to structural causes and biological pathways. Based on CoTox (Park 2025) and DrugR (Liu 2026).

not rated 3.4k +23 yesterday A 47 tokens original Apache-2.0

binding-affinity

48

synthetic-sciences/openscience

Skill Claude CodeCodex

Hybrid ML + physics binding affinity prediction. Empirical scoring, MM/GBSA rescoring, multi-method consensus, and batch virtual screening for protein-ligand complexes.

not rated 3.4k +23 yesterday A 38 tokens original Apache-2.0

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