datum-system

Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify WHICH environment variables are required (not the values). Enables DRY approach by centralizing configuration in Rust, exposed to Python via PyO3.

dry-philosophy

Don't Repeat Yourself (DRY) and Never Reinvent the Wheel (NRtW) - core b00t principles. Use existing libraries, leverage Rust via PyO3 instead of duplicating logic in Python, and contribute to upstream projects rather than fork privately.

direnv-pattern

Implements the b00t environment management pattern: direnv → .envrc → dotenv → .env where datums specify WHICH environment variables are required and .env contains the actual secret VALUES. Ensures automatic environment loading per-project.

executive-role

Defines the shared role, responsibilities, and operating principles for an Executive agent in the b00t hive. This skill uses Rhai scripting to provide model-specific directives.

aws-cli

CLI-first AWS orchestration skill for Lambda, ECS/Fargate, and S3 workflows rooted in `.☁️` runbooks.

model-routing

Select the right model for the task. Maps task cognitive tier to optimal model. Reads _b00t_ datums for available models. Prefer local/cheap for deterministic work; frontier for reasoning.