sales
claudeProspecting, outreach, pipeline
36 skills · 23 MCP servers
Life sciences R&D tooling
Plugin bio-research from marketplace kushal-claude-plugins in Kushal9889/claude-plugins. Commands read from the repo's manifest — 2 days ago.
instrument-data-to-allotropeConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Out
nextflow-developmentRun nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO r
scientific-problem-selectionThis skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research
scvi-toolsDeep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial t
single-cell-rna-qcPerforms quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for si
startSet up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
pubmedconnects to: https://pubmed.mcp.claude.com/mcp
biorenderconnects to: https://mcp.services.biorender.com/mcp
biorxivconnects to: https://hcls.mcp.claude.com/biorxiv/mcp
consensusconnects to: https://mcp.consensus.app/mcp
c-trialsconnects to: https://hcls.mcp.claude.com/clinical_trials/mcp
chemblconnects to: https://hcls.mcp.claude.com/chembl/mcp
synapseconnects to: https://mcp.synapse.org/mcp
wileyconnects to: https://connector.scholargateway.ai/mcp
owkinconnects to: https://mcp.k.owkin.com/mcp
otconnects to: https://mcp.platform.opentargets.org/mcp
benchlingProspecting, outreach, pipeline
36 skills · 23 MCP servers
AI-enhanced development framework for Claude Code — 30 commands, 20 agents, 7 modes, confidence checks, parallel execution, and reflexion-based learning
6 skills · 30 commands · 20 agents · 2 MCP servers · hooks
Garry Tan's gstack — engineering workflow skills: autoplan, plan reviews, ship/deploy, QA, design, codex integration, browser automation.
54 skills
Ultra-compressed communication mode
22 skills · 1 command · 3 agents · hooks
Matt Pocock's curated Claude Code skills — engineering, productivity, writing, misc, personal. Organized by category for clarity.
25 skills
Specs, roadmaps, user research synthesis
8 skills · 1 command · 16 MCP servers
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