Bootgear — AI skill for Claude Code

bootgear

An agent harness framework — the gear between the LLM motor and your skills, tools, configs, and docs.

What is bootgear?

bootgear is a curated collection of general-purpose, extensible **skills**, **agents**, and **hooks** for coding-agent workflows.

Think of an LLM as a motor: raw power, no direction. A motor alone doesn't move anything — it needs a transmission that converts spin into motion, mounted on a chassis you can actually load your cargo onto. bootgear is that layer. It sits between the model and your assets, routes work through an opinionated loop, and lets you bolt on your own gear where it matters.

your skills / tools / configs / docs      <- what makes each project different
                  ^
                  |   bootgear: routing, invocation, governance
                  v
                   LLM                    <- the motor

Design principles

**General by design.** Framework-level skills and agents hold no project-specific knowledge. They are reusable across projects, languages, and teams.

**The framework drives (IoC).** Inspired by Spring Boot: you don't call the framework, the framework calls you. Register your skills, agents, and hooks — bootgear owns the lifecycle and invokes them at the right points in the loop.

**Opinionated defaults, explicit overrides.** Every component works out of the box with sensible defaults, and every component declares its customization points. Tune preferences, swap steps, or extend behavior without forking the skill.

**Your workflow stays yours.** bootgear puts you inside a productive loop, not inside a black box. You always see which gear is engaged and can steer at any point.

How is this different from [superpowers](https://github.com/obra/superpowers)?

superpowers proved that a strong, opinionated skill set makes agents dramatically more capable. But its opinions are take-it-or-leave-it: if a skill's assumptions don't fit your project or taste, your options are to live