yanjumlinnb-boop/scientific-agent-skills

K-Dense scientific Agent skills library: 147 research skills | academic writing/data analysis/materials science/machine learning

2Stars on the repository
59Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

adaptyv

01

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for…

not rated 2 2mo ago A 113 tokens copy · 95% MIT

aeon

02

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard…

not rated 2 2mo ago A 74 tokens copy · 100% MIT

anndata

03

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

not rated 2 2mo ago A 63 tokens copy · 100% MIT

arbor

04

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get…

not rated 2 2mo ago A 217 tokens copy · 100% MIT

arboreto

05

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for…

not rated 2 2mo ago A 66 tokens copy · 100% MIT

astropy

06

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

not rated 2 2mo ago A 56 tokens copy · 100% MIT

autoskill

07

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code needs its repo

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on…

not rated 2 2mo ago B 123 tokens copy · 97% MIT

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.

not rated 2 2mo ago A 50 tokens copy · 100% MIT

bgpt-paper-search

09

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not…

not rated 2 2mo ago A 64 tokens copy · 100% MIT

bids

10

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars…

not rated 2 2mo ago A 80 tokens copy · 100% MIT

biopython

11

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…

not rated 2 2mo ago A 76 tokens copy · 95% MIT

bioservices

12

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use…

not rated 2 2mo ago A 73 tokens copy · 81% MIT

bulk-rnaseq

13

yanjumlinnb-boop/scientific-agent-skills

Skill Claude CodeCodex

End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and…

not rated 2 2mo ago A 218 tokens copy · 100% MIT

cellxgene-census

14

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across…

not rated 2 2mo ago A 97 tokens copy · 86% MIT

cirq

15

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for…

not rated 2 2mo ago A 67 tokens copy · 100% MIT

citation-management

16

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

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 citation information, convert DOIs to BibTeX, or ensure…

not rated 2 2mo ago A 68 tokens copy · 91% MIT

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…

not rated 2 2mo ago A 97 tokens copy · 94% MIT

clinical-reports

18

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…

not rated 2 2mo ago A 71 tokens copy · 95% MIT

cobrapy

19

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

not rated 2 2mo ago A 38 tokens copy · 100% MIT

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate…

not rated 2 2mo ago A 129 tokens copy · 100% MIT

dask

21

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed…

not rated 2 2mo ago A 69 tokens copy · 100% MIT

database-lookup

22

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Deterministically query 78 public scientific, biomedical, materials science, regulatory, finance, and demographics databases through documented REST APIs. Use for reproducible lookups of compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, structures, astronomy objects…

not rated 2 2mo ago B 82 tokens copy · 100% MIT

datamol

23

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters…

not rated 2 2mo ago A 67 tokens copy · 84% MIT

deepchem

24

yanjumlinnb-boop/scientific-agent-skills

Skill Claude Code

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first…

not rated 2 2mo ago A 78 tokens copy · 86% MIT

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