Lowell Mason
Community@lowmason
Senior data scientist. Aspiring Bayesian.
Agent Skills by Lowell Mason
Showing 21 vetted skills indexed across 1 GitHub repositories.
using-git-worktrees
Set up isolated workspaces using native tooling or git worktree fallback.
validate-data
Validate datasets and analyses for publication readiness with Polars.
test-driven-development
Enforce a test-first workflow with failing tests before production code.
systematic-debugging
Guide root-cause investigation and phase-driven analysis for software bugs.
bls-data-context
Summarize BLS labor statistics programs and cross-program data concepts.
dispatching-parallel-agents
Dispatch independent agents to investigate separate failures in parallel.
explore-data
Profile Parquet or CSV datasets with Polars to surface data quality issues.
tech-debt
Triage technical debt signals in Polars, NumPyro, PyMC, and BLS codebases into a prioritized backlog.
executing-plans
Execute written plans stepwise with status tracking and verifications.
finishing-a-development-branch
Guide merge, PR, or cleanup decisions after verifying tests in Git workflows.
brainstorming
Convert raw ideas into polished design specifications with structured prompts.
writing-plans
Transform vague specs into structured task plans with testable criteria.
bayesian-workflow
Scaffold Bayesian workflows with NumPyro and ArviZ diagnostics.
requesting-code-review
Dispatches a subagent to review code against plan, quality, and architecture criteria.
receiving-code-review
Evaluate code review feedback with verification against codebase requirements.
writing-skills
Standardize SKILL.md creation with RED-GREEN-REFACTOR testing workflows.
develop-testing-strategy
Plan invariant-based testing strategies for data-science codebases.
verification-before-completion
Enforce evidence-based verification before declaring task completion.
subagent-driven-development
Dispatch fresh subagents per task with per-task reviews and a final aggregation pass.
design-architecture
Create and evaluate Architecture Decision Records for cross-cutting data design decisions.
recommend-probabilistic-model
Diagnose modeling problems and map data signals to probabilistic-method families with Murphy §refs and pyprobml notebooks.