Matt
Community@matt-grain · Montreal
Professional account: CTO / AI Lead / Backend Lead of Grain Ecosystem
Agent Skills by Matt
Showing 19 vetted skills indexed across 2 GitHub repositories.
tooluniverse
Routes scientific research queries to specialized ToolUniverse skills or general multi-database tool strategies.
tooluniverse-chemical-compound-retrieval
Retrieves chemical compound profiles from PubChem and ChEMBL with cross-database validation.
tooluniverse-binder-discovery
Discover small molecule binders for protein targets using ToolUniverse databases and NVIDIA NIM docking.
tooluniverse-drug-target-validation
Validates drug targets computationally using 60+ ToolUniverse tools across 10 evidence dimensions.
tooluniverse-drug-repurposing
Identify drug repurposing candidates by querying ToolUniverse databases for targets, safety, and literature evidence.
tooluniverse-network-pharmacology
Constructs compound-target-disease networks to score drug repurposing candidates using 60+ ToolUniverse tools.
tooluniverse-adverse-event-detection
Detects adverse drug event signals using FAERS disproportionality analysis and FDA label data.
tooluniverse-target-research
Generates comprehensive drug target intelligence reports using ToolUniverse biomedical databases.
tooluniverse-drug-research
Generates comprehensive drug research reports from PubChem, ChEMBL, FAERS, and ClinicalTrials.gov data.
tooluniverse-clinical-trial-matching
Matches patient molecular profiles to ranked clinical trials with evidence-graded scoring.
tooluniverse-clinical-trial-design
Assess clinical trial feasibility and generate evidence-graded design reports using ToolUniverse data sources.
catalyst-pharma
Guides autonomous multi-agent optimization of molecular property prediction models using CrewAI.
tooluniverse-literature-deep-research
Conducts evidence-graded literature reviews across academic domains using 120+ ToolUniverse research tools.
tooluniverse-chemical-safety
Assess chemical toxicity and drug safety using ADMET-AI, CTD, FDA, DrugBank, STITCH, and ChEMBL data.
tooluniverse-drug-drug-interaction
Analyzes drug-drug interactions and generates evidence-graded clinical risk reports using ToolUniverse.
tooluniverse-pharmacovigilance
Analyzes drug safety signals from FAERS, FDA labels, and pharmacogenomic databases into structured reports.
load-deferred
Load deferred memory IDs and format them for context injection.
anima-commands
Manage Anima long-term memories with remember, recall, and forget commands.
auto-memory
Automate persistent capture and recall of project events across dev sessions.
Frequently Asked Questions About Matt
FAQPage SchemaWhat tasks can I accomplish with Matt Grain's ToolUniverse skills?▼
You can validate drug targets, discover small-molecule binders, identify repurposing candidates, match patients to clinical trials, design Phase 1/2 trials, predict drug-drug interactions, assess chemical toxicity, and run deep literature research across 1400+ scientific tools with evidence grading.
Who are these skills designed for?▼
They target drug discovery researchers, computational biologists, pharmacovigilance analysts, oncologists, molecular tumor boards, and clinical trial planners who need quantitative scoring, evidence-graded reports, and multi-source biomedical data integration.
How do the skills handle ambiguous drug or compound queries?▼
Skills like chemical-compound-retrieval and drug-research perform explicit disambiguation and cross-referencing across PubChem, ChEMBL, and DrugBank, resolving identifiers such as PubChem CID, ChEMBL ID, SMILES, and InChI before building comprehensive profiles.
What data sources power the pharmacovigilance and safety skills?▼
They integrate FDA FAERS adverse event reports, drug label warnings, DrugBank safety profiles, CTD toxicogenomics, ADMET-AI predictions, and STITCH chemical-protein interactions, computing PRR, ROR, and IC disproportionality measures with 0-100 safety signal scores.
What is the catalyst-pharma skill used for?▼
Catalyst-pharma supports the pharma-agents project, an autonomous multi-agent system for molecular ML optimization. Use it when running experiments, understanding the crew architecture, or debugging agent runs within that ecosystem.