local

Scaffold and configure new projects for use with Claude Code — project structure, environment setup, and Claude-specific tooling for coding tools, data analysis, and information management.

BIDS (Brain Imaging Data Structure) conventions — naming rules, entity ordering, sidecar fields, and dataset structure for neuroimaging datasets.

Generate a Boutiques JSON descriptor for a CLI tool by inspecting its --help output

Route data processing and file changes through DataLad for provenance tracking (datalad create, run, save). Follows YODA principles for reproducible local analysis projects.

Git workflow best practices and PR lifecycle commands for Claude Code sessions: when to use worktrees vs branches, commit conventions, parallel-agent coordination, conflict resolution, and slash commands for commit, push, PR creation, PR review, and branch cleanup.

Design and refactor repeated analysis scripts using five-layer architecture.

Assist with nipoppy neuroimaging dataset management: initializing datasets, organizing DICOM files, BIDS conversion, running processing pipelines, tracking status, and extracting IDPs.

Testing and code quality toolkit: TDD and retrofit-tests skills for writing tests; code-reviewer, pr-test-analyzer, code-simplifier, comment-analyzer, silent-failure-hunter, and type-design-analyzer agents for pre-commit review; and a /code-check command to orchestrate them.

Language-agnostic statistical analysis workflows: merge input data into an analysis-ready dataframe, select and plan the right statistical test with QC checks, and scaffold a jupytext report.