4 boosters for "conda" — open source, verified from GitHub, ready to install
A 540×960 e-ink panel sitting next to the user's monitor. AI agents push widgets to it; the daemon renders frames server-side and ships pixels over Wi-Fi / USB / BLE. This Skill is the only thing an agent needs to call
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
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.
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.
