2 boosters for "conda" — AI-graded, open source, ready to install
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
Defines standardized conventions for creating, structuring, and managing AI agents across `.claude/agents/` and `.opencode/agent/` directories, ensuring consistency, security, and maintainability in multi-agent projects. Developers working with AI agents in monorepos, enterprise systems, and DevSecOps workflows benefit from clear role definitions and tool permission standards.