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Expert-thinking subagents for molecular & cell biology: genetics, genomics, omics, biochemistry, biophysics, microbiology, immunology, virology, and structural/synthetic/systems biology.

63 agents

Expert-thinking subagents for clinical medical specialties: cardiology, oncology, radiology, pathology, neurology, surgery, anesthesiology, pharmacology, and related fields.

54 agents

Expert-thinking subagents for chemistry: organic, inorganic, physical, analytical, electrochemistry, catalysis, spectroscopy, mass spectrometry, and crystallography.

48 agents

Expert-thinking subagents for mechanical, civil, chemical, aerospace, and process engineering: fluid dynamics, structures, manufacturing, thermodynamics, and reliability.

48 agents

Expert-thinking subagents for earth, environmental, ocean, and atmospheric science: geology, geophysics, climate, oceanography, hydrology, remote sensing, and sustainability.

46 agents

Expert-thinking subagents for organismal, ecological, and evolutionary biology: zoology, botany, physiology, taxonomy, phylogenetics, conservation, and marine/field biology.

43 agents

Expert-thinking subagents for clinical, population, and translational science: epidemiology, clinical trials, regulatory affairs, pharmacovigilance, and public/global health.

41 agents

Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant data, phylogenetics, and biomedical database lookup.

33 skills

Expert-thinking subagents for computer science, AI, and data: machine learning, systems, theory, security, NLP, computer vision, and computational/cognitive science.

32 agents

Expert-thinking subagents for electrical, electronics, and computer-hardware engineering: power, RF/photonics, semiconductors, embedded/control systems, signals, and robotics.

31 agents

Caveman: ultra-compressed communication mode (lite/full/ultra/wenyan). Cuts ~75% of output tokens while keeping technical accuracy. Downstream-patched so terseness reads as value-proportional allocation: a floor for low-value turns, not a cap on high-value ones (see patches/caveman.json).

22 skills · 1 command · 3 agents · hooks

K-Dense's scientific writing toolkit (papers, grants, posters, clinical reports, document conversion) plus a /scientific-writer-init command. NOTE: this is a BUNDLE — its skills also ship in the focused sci-* and kdense-* plugins. To avoid duplicate skills, install EITHER claude-scientific-writer OR the focused plugins, not both.

26 skills · 1 command

Expert-thinking subagents for physics: quantum, optics/photonics, plasma/fusion, particle, nuclear, condensed-matter, statistical, and atomic-molecular-optical physics.

27 agents

Lit review, peer review, writing, citations, posters, slides, schematics, infographics, and academic web search. (For docx/pdf/pptx/xlsx, install kdense-document-skills.)

25 skills

Expert-thinking subagents for mathematics, statistics, and operations research: pure/applied math, probability, Bayesian/causal inference, optimization, and numerical analysis.

20 agents

Expert-thinking subagents for agriculture, food, and veterinary science: agronomy, soil science, crop/animal science, food science, aquaculture, and veterinary medicine.

19 agents

General ML/DL: scikit-learn, PyTorch Lightning, transformers, RL, time series, GNNs, Bayesian, SHAP, plus GPU and compute helpers.

18 skills

Expert-thinking subagents for materials science and nanotechnology: metallurgy, ceramics, composites, polymers, semiconductors, energy storage, and nanomaterials.

16 agents

Expert-thinking subagents for astronomy and space science: astrophysics, cosmology, planetary science, heliophysics, exoplanets, and astrodynamics.

15 agents

Stats, EDA, network analysis, survival analysis, plotting, big-data dataframes (dask/polars/vaex/zarr), MATLAB, and US fiscal data.

15 skills

Lab platforms and ELNs: Benchling, DNAnexus, LatchBio, OMERO, Opentrons, protocols.io, PyLabRobot, Ginkgo, LabArchives, plus flow cytometry and Neuropixels.

12 skills

Hypothesis generation, grant writing, brainstorming, critical-thinking eval, scenario analysis, and cognitive/meta tools.

11 skills

Cheminformatics, molecular ML featurization, docking, and medicinal chemistry workflows.

9 skills

Clinical decision support, clinical/case/trial reports, treatment plans, and ISO 13485 QMS docs.

7 skills

DICOM, whole-slide imaging, computational pathology, and NCI Imaging Data Commons.

6 skills

Astronomy (astropy), symbolic math (sympy), open quantum systems (qutip), and quantum frameworks (qiskit, cirq, pennylane).

6 skills

Discrete-event simulation, multi-objective optimization, CFD, and molecular dynamics.

5 skills

General-purpose document tools: read/write/edit .docx (Word), .pdf, .pptx (PowerPoint), and .xlsx (Excel/spreadsheets). Useful complement to any scientific-writing workflow.

4 skills

Laconic: a value-proportional communication register engine. Ships the 'laconic' register: elliptical but literate, a sharp colleague writing fast. Drop the function words a reader restores for free, keep the logic connectives, notebook symbols where they decode. Compresses the report, never the work behind it. Registers are data files under registers/; drop in a new one to add a voice, no code change.

1 skill · 1 command · hooks

Multi-modal omics integration: DepMap, PrimeKG, and scvi-tools deep generative models.

3 skills

Protein language models (ESM) and the Adaptyv Bio Foundry API.

3 skills

LC-MS/MS processing, spectral matching, peptide ID, and glycoengineering.

3 skills

Geospatial science: GIS, remote sensing, spatial stats, and earth-observation ML.

2 skills

EHR/physiological-signal ML: PyHealth pipelines and NeuroKit2 biosignal processing.

2 skills

Materials science with pymatgen and constraint-based metabolic modeling with COBRApy.

2 skills