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
Neutral Atom Toolkit — the full QPU pipeline: application-to-idea, idea-to-spec, spec-to-sequence, validate-emu, noise-emulate (local / SLURM / cloud), qpu-submit (cloud API), submit-to-cea (cluster over SSH), harvest-and-analyze. Plus access: create-pasqal-cloud-account, apply-genci-tgcc-cea, choose-access-method.
Plugin neutral-atom-toolkit from marketplace pasqal in pasqal-io/agent-marketplace. Commands read from the repo's manifest — 9 days ago.
application-to-ideaScope a rough problem or application into a first technical idea for a neutral-atom (Rydberg) QPU: which documented Pulser method could serve it — MIS, QUBO, an Ising or XY simulation, a graph kernel — what would be measured, at what size, or an honest no-fit. Writes a note for idea-to-spec; use ide
apply-genci-tgcc-ceaApply for QPU hours on Ruby (Pasqal Orion), the analogue neutral-atom machine at GENCI/CEA TGCC - via the French eDARI portal or the EuroHPC Quantum Access Pilot call - then get the TGCC computing account. For requests such as "apply for TGCC hours", "eDARI application", "apply for Ruby/Pasqal QPU a
choose-access-methodDecide which neutral-atom QPU access route to pursue - free CEA/GENCI/ EuroHPC access to Ruby (weeks of lead time, specific eligibility) versus Pasqal Cloud pay-as-you-go (today, any country, a card). For requests such as "how do I get QPU access", "which account should I use", "Pasqal Cloud vs CEA"
create-pasqal-cloud-accountGet access to Pasqal Cloud - create the account on portal.pasqal.cloud and optionally couple it to Google Cloud Marketplace, which is what makes real QPUs and the advanced emulators available. For requests such as "create a Pasqal Cloud account", "I need a PASQAL_PROJECT_ID", "subscribe to Pasqal on
harvest-and-analyzeCollect neutral-atom QPU bitstrings by batch ID once a submission has run, correct them for detection error, compute the target observable, compare it to the emulated baseline from validate-emu, and return an accept/reject verdict. Runs after a submission, never instead of one. Triggered by phrases
idea-to-specTurn a source describing a neutral-atom (Rydberg) experiment — a paper, a patent, a PDF, an arXiv ID, an idea note, or a protocol described in conversation — into a structured experiment_spec.json: register, drive, scan, observable, open questions. The spec is the input contract for spec-to-sequence
noise-emulateEmulate a neutral-atom Pulser sequence's time evolution under the target Rydberg device's live noise model, producing noiseless and noisy trajectory curves with a quantile envelope. Asks where to run — this machine, a GPU cluster, or Pasqal Cloud emulators. Use this to study how noise shapes a signa
qpu-submitSubmit a neutral-atom experiment_spec.json plus its Pulser sequence file to a Rydberg QPU on Pasqal Cloud, with an optional pre-calibration batch that measures the device's Rabi frequency and Rydberg resonance and compensates the submitted jobs. Writes batch IDs for harvest-and-analyze. For a QPU re
spec-to-sequenceGenerate a Pulser sequence builder for a neutral-atom (Rydberg) experiment from an experiment_spec.json. Output is a *_sequence.py with two standardised functions — build_sequence() and compute_observable() — consumed by validate-emu, qpu-submit and harvest-and-analyze. Triggered by phrases like "ge
submit-to-ceaSubmit a Pulser parametric experiment to Ruby, the neutral-atom QPU hosted at CEA/TGCC on the irene supercomputer, over SSH — generate the job bundle, deploy it, launch the ccc_msub jobs, monitor them, collect the results, with no manual copying. The templates are TGCC-specific and say what a siblin
validate-emuScan a neutral-atom experiment_spec.json and its Pulser sequence, noiseless and noisy, and return a go/no-go on whether the signal survives the Rydberg device's noise well enough to be worth QPU time. Asks where to run: locally (free, small registers, offered first) or on Pasqal Cloud emulators at t
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
Science-based learning exercises for deliberate skill development during AI-assisted coding
1 skill
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