smestern
Community@smestern
researcher @ UWO
Agent Skills by smestern
Showing 15 vetted skills indexed across 1 GitHub repositories.
analysis-planner
Plan scientific analysis pipelines with success criteria and risk flags.
data-qc
Validate scientific datasets for quality and integrity through multi-layered checks.
scientific-rigor
Validate research data for NaN, Inf, zero variance, and range issues.
report-writer
Generate structured reports from input data files using markdown templates.
configure-domain
Identify Python package dependencies for a research domain and generate configuration files.
sci-agent-review
Screens scientific manuscripts for methodological rigor and ethical pitfalls.
docs-ingestor
Extract text from scientific documents using OCR and NLP.
ssm
Fits and analyzes HMM, SLDS, and LDS state-space models on neural time-series data.
brian2
Simulate spiking neural networks with Brian2 neuron models and synaptic dynamics.
sbi
Estimate biophysical model parameters from observed data using simulation-based inference.
domain-expertise
Validate biophysical parameters and classify neuron types in neuroscience simulations.
switch-domain
Switch configured research domains in SciAgent by hot-swapping domain-specific content.
code-reviewer
Review Python scripts for correctness, reproducibility, and scientific best practices.
update-domain
Update SciAgent domain knowledge with incremental package and workflow changes.
rigor-reviewer
Audit scientific analysis code for statistical correctness and data integrity.