665,000+ skills indexed

NeuroAI Lab

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@sun-lab-nbb · United States of America

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16Public Repos

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20Published Skills

The Sun lab is interested in both biological and artificial intelligence, and works at the intersection of neuroscience, AI and engineering.

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Skills Distribution

Agent Skills by NeuroAI Lab

Showing 20 vetted skills indexed across 3 GitHub repositories.

commit

Generate Sun Lab style-compliant git commit messages from local code changes.

pyproject-style

Apply Sun Lab pyproject.toml conventions for section ordering, metadata, dependencies, and tool configurations.

python-style

Enforce Sun Lab Python coding conventions for writing and reviewing code.

explore-codebase

Analyzes project structure, dependencies, and execution flows across multiple phases.

csharp-style

Enforce Sun Lab C# coding conventions across .cs files.

skill-design

Generate, update, and verify SKILL.md and CLAUDE.md files with YAML frontmatter and formatting conventions.

cpp-style

Apply Sun Lab C++ coding conventions to source files.

readme-style

Apply Sun Lab README conventions to create and update README.md files.

project-layout

Enforce Sun Lab directory structure conventions across five project archetypes.

tox-config

Generate standardized tox.ini files for Python, C++ extension, and docs-only projects.

api-docs

Apply Sun Lab conventions to Sphinx documentation files and configurations.

implementing-zaber-interface

Implement Zaber motor interfaces with zaber-motion for hardware discovery and axis binding.

implementing-microcontroller-interface

Implement microcontroller firmware modules with matching Python PC interfaces.

checking-system-health

Automate pre-flight health verification for Sun lab acquisition systems.

managing-session-data

Manage acquisition session data across storage backends using MCP tooling.

designing-experiments

Design and configure Sun Lab VR experiments using MCP tooling and YAML configurations.

configuring-acquisition-system

Configure mesoscope acquisition systems via MCP tools and YAML files.

applying-sun-lab-style

Apply Sun Lab coding and documentation conventions to C# and Unity projects.

exploring-codebase

Generates a structured codebase overview with architecture, components, and patterns.

verifying-task-templates

Validate YAML task templates against Unity prefab configurations.

Frequently Asked Questions About NeuroAI Lab

FAQPage Schema

What specific tasks can I perform using these engineering conventions?▼

You can standardize project layouts, enforce multi-language coding conventions, generate Sphinx documentation, and validate Unity prefab configurations against YAML templates to ensure consistency across research repositories.

Which technical personas benefit from these laboratory standards?▼

These standards are designed for research engineers and computational neuroscientists managing complex acquisition systems, hardware-interfacing firmware, and experimental VR environments requiring strict structural and documentation parity.

What are the prerequisites for implementing these laboratory interfaces?▼

Implementation requires existing Zaber motion hardware, mesoscope acquisition systems, and a development environment configured to support the specific Sun Lab directory archetypes and YAML-based configuration schemas.