Enforce Dunn Lab coding conventions across Python, R, and Rust projects.
npx skills add https://github.com/caseywdunn/dunnlab_code --skill dunnlab-defaults
Please help me install this Agent Skill. Skill: dunnlab-defaults Source: https://github.com/caseywdunn/dunnlab_code/tree/main/skills/dunnlab-defaults Command: npx skills add https://github.com/caseywdunn/dunnlab_code --skill dunnlab-defaults
Standardizes and enforces Dunn Lab coding conventions and defaults across projects, reducing onboarding time and drift.
Apply Dunn Lab defaults when starting a new project to initialize structure and tooling.
High-intent search queries and answers about installing and using this skill.
Establish project reproducibility by applying standardized coding conventions that prescribe repository layout, environment management, and dependency handling across Python, R, and Rust workflows.
Coding conventions for linting and documentation enforce specific naming conventions and docstring styles across your codebase to ensure maintainability and reduce project drift.
Yes, these defaults support environment management and dependency handling across Python, R, and Rust workflows, providing consistent naming and documentation standards for each language.
The best way to standardize a lab project is to apply coding defaults upon initialization, which establishes the standard repository layout, environment files, and linting rules.
You need performance guidance and coding defaults when starting analysis scripts to ensure reproducibility and maintainability, reducing onboarding time and preventing convention drift across projects.
ConsiliencyDetect new imports in modified files and install missing dependencies across package managers.
ArogyaReddyEnforce Python code style and documentation standards with ruff and mypy.
keturkAutomate multi-wave task execution with dependency analysis and automated testing.
deandumEnforce language-agnostic coding style and conventions across a codebase.
