By galeep
K-Dense's scientific writing toolkit: 23 skills (papers, grants, posters, clinical reports, paper-2-web) plus a /scientific-writer-init command. NOTE: 22 of these 23 skills also appear in sci-* plugins; only paper-2-web is unique to the writer. To avoid duplicate skills, install EITHER claude-scientific-writer OR the relevant sci-* plugins, not both.
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 reference accuracy in scientific writing.
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, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
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 tools.
Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that isn't a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
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A curated Claude Code plugin marketplace. Currently hosts K-Dense AI's scientific tooling split into focused, individually-installable plugins so you only load what you need.
# Add the marketplace (one time)
claude plugin marketplace add galeep/plugin-place
# List what's available
claude plugin search @plugin-place
# Install whichever pieces you want
claude plugin install sci-bioinformatics-genomics@plugin-place
claude plugin install sci-machine-learning@plugin-place
claude plugin install kdense-document-skills@plugin-place
19 plugins, 135 skills, all sourced from K-Dense AI and licensed MIT. Two upstream repos vendor in, pinned to release tags:
v2.38.0 — 135 scientific skills, split here into 17 domain plugins
plus the general-purpose kdense-document-skills pluginv2.13.0 — full writer plugin with a /scientific-writer-init command| Plugin | Skills | What it covers |
|---|---|---|
sci-bioinformatics-genomics | 20 | Sequence analysis, scRNA-seq, gene regulatory networks, variants, phylogenetics, biomedical DBs |
sci-cheminformatics-drug-discovery | 9 | Cheminformatics, molecular ML, docking, medicinal chemistry |
sci-proteomics-mass-spec | 3 | LC-MS/MS, spectral matching, glycoengineering |
sci-clinical-research | 4 | CDS, clinical/case/trial reports, treatment plans, ISO 13485 |
sci-healthcare-ai | 2 | PyHealth, NeuroKit2 biosignal processing |
sci-medical-imaging | 4 | DICOM, WSI, computational pathology, NCI Imaging Data Commons |
sci-machine-learning | 16 | scikit-learn, Lightning, transformers, RL, time series, GNNs, Bayesian, SHAP, GPU/compute helpers |
sci-materials-chemistry | 2 | pymatgen, COBRApy |
sci-physics-astronomy | 6 | astropy, sympy, qutip, qiskit, cirq, pennylane |
sci-engineering-simulation | 4 | SimPy, pymoo, CFD, molecular dynamics |
sci-data-analysis-viz | 14 | Stats, EDA, networks, survival, plotting, big-data dataframes, MATLAB, US fiscal data |
sci-geospatial | 2 | GIS, remote sensing, earth-observation ML |
sci-lab-automation | 11 | Benchling, DNAnexus, LatchBio, OMERO, Opentrons, protocols.io, PyLabRobot, flow cytometry, Neuropixels |
sci-scientific-communication | 22 | Lit review, peer review, writing, citations, posters, slides, schematics, infographics, academic web search |
sci-multi-omics | 3 | DepMap, PrimeKG, scvi-tools |
sci-protein-engineering | 2 | ESM, Adaptyv Bio Foundry |
sci-research-methodology | 7 | Hypothesis generation, grant writing, brainstorming, critical thinking, scenario analysis |
kdense-document-skills | 4 | General-purpose .docx, .pdf, .pptx, .xlsx tools (useful with any plugin) |
claude-scientific-writer | 23 | K-Dense's full writer plugin including the /scientific-writer-init command |
The claude-scientific-writer plugin and the sci-* plugins share most of
their skills (K-Dense maintains the same skill code in both upstreams).
Specifically:
sci-* plugins
(mostly sci-scientific-communication, plus sci-clinical-research and
sci-research-methodology)/scientific-writer-init slash
command (which the bare skills lack)Pick one approach:
sci-* plugins: get exactly the domain slices
you want, granular enable/disableInstalling both will give you duplicate skill names, which is unsupported and will confuse Claude Code's skill router.
plugins.yaml is the source of truth. Everything else is generated:
git submodule update --init --recursive
bash scripts/build.sh
This regenerates plugins/* and .claude-plugin/marketplace.json from
the YAML and the pinned upstream submodules. The build is idempotent —
edits inside plugins/* will be overwritten.
The built plugin kind copies a chosen subset of skills from an upstream
submodule. The vendored plugin kind copies an entire upstream plugin
intact (skills, commands, agents, hooks) and generates a plugin.json
from its upstream marketplace metadata. A local kind is reserved for
plugins authored directly in this repo.
To add a new plugin, edit plugins.yaml and rerun scripts/build.sh.
npx claudepluginhub galeep/plugin-place --plugin claude-scientific-writerClinical decision support, clinical/case/trial reports, treatment plans, and ISO 13485 QMS docs.
Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant data, phylogenetics, and biomedical database lookup.
Cheminformatics, molecular ML featurization, docking, and medicinal chemistry workflows.
LC-MS/MS processing, spectral matching, peptide ID, and glycoengineering.
EHR/physiological-signal ML: PyHealth pipelines and NeuroKit2 biosignal processing.
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