claude

b00t

b00t plugin for Claude Code - extreme programming agent framework with datum system, direnv pattern, and DRY philosophy

0 on GitHubby elasticdotventuresv0.1.0MITupdated 11 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin b00t in elasticdotventures/__b00t__. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (5)

  • aws-cli

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

  • 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 P

  • 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.

  • 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.

  • 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.

MCP servers (5)

  • b00t-mcp

    runs: b00t-mcp --stdio

  • context7

    runs: bunx -y @upstash/context7-mcp

  • github

    runs: npx -y @modelcontextprotocol/server-github

  • rust-crate-docs-docker

    runs: docker run --rm -i ghcr.io/promptexecution/rust-cargo-docs-rag-mcp:latest stdio

  • taskmaster-ai

    runs: bunx -y --package=task-master-ai task-master-ai

View source on GitHub

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