dominodatalab
claudeFull Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Run FragPipe headless on your own computer, track the run, and read the results.
Plugin fragskills from marketplace nesvilab in Nesvilab/FragSkills. Commands read from the repo's manifest — today.
fragskillsRun FragPipe (MSFragger/Philosopher/IonQuant/TMT-Integrator/DIA-NN) proteomics analyses in headless mode, track progress while they run, and interpret the results. Use when asked to search or quantify mass-spectrometry proteomics data, run a FragPipe workflow, monitor a running FragPipe job, or read
/fragskills:fragskills-newSet up a new FragPipe analysis from raw files by answering a few questions
/fragskills:fragskills-reportBuild the fragskills-qc-report.html QC summary for a finished run
/fragskills:fragskills-runLaunch a FragPipe search headless, in the background
/fragskills:fragskills-statusReport how a running or finished FragPipe job is doing
/fragskills:fragskills-stopStop a running FragPipe job and every tool it started
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Evidence-backed BioPharma research workflows over Maven Bio's drug, trial, company, and deal knowledge graph. Skills for competitive pipelines, indication landscapes, asset profiles, deal and financing activity, and evidence synthesis grounded in FDA, SEC, clinical, and press sources. Requires a Maven Bio account.
16 skills · 1 agent · 1 MCP server
Query the KEGG bioinformatics database — pathways, genes, compounds, drugs, enzymes, diseases, reactions, and more via 34 read-only MCP tools. No API key required.
1 skill · 3 commands · 1 agent · 1 MCP server
Create narrated Mandarin math and science tutorial videos or interactive explainers from problem statements and images.
1 skill
Data Science Team — 10 agents: Cast, Feat, Fit, Score, Drift, Vect, Tune, Plot, Clean, Eval
Automatically nudges Claude to offer learning exercises after git commits. Requires the learning-opportunities plugin.
hooks
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