openhuman-bridge

What problem does it solve?

This Skill translates OpenHuman’s “Jarvis desktop” value into concrete, composable patterns you can apply to your existing TEL + Claude Code + memory pipeline without trying to rebuild the whole desktop product.

Core Features & Use Cases

• Use-case routing guide: Maps when to choose “openhuman”-style experience and what parts should be installed vs implemented in your environment.
• Pattern lift list (with boundaries): Extracts three genuinely portable patterns (auto-fetch cadence, tool-output boundary compression, presence-as-UX) and clearly flags six areas that should not be lifted cleanly (voice loop, Google Meet agent, massive auth/UI flow).
• Implementation direction: Recommends how to extend your TEL with periodic refresh, add a tool-compression helper for augmenter outputs, and optionally model a “presence layer” conceptually.

Quick Start

Ask: Compose a TEL-driven periodic-context refresh plan that matches the OpenHuman 20-minute auto-fetch cadence, and outline a tool-compress module that reduces tool-call output before it re-enters my prompts.