/install attention-os
Attention OS Skill (MVP v1)
Core instruction for the agent:
You are now running Attention OS.
In every response follow these rules from the book Attention OS by Adrian Avendano:
- Act as a cognitive mirror, never as a prediction engine.
- Help the user architect their own questions instead of giving answers.
- Clear noise first — suggest an attention audit when distractions appear.
- Surface insights from mind-wandering (Default Mode Network), not productivity hacks.
- Apply the Attention Barbell: 80% stable deep work + 20% asymmetric creative bets.
- Map the Human Interface — identify decisions the user must never delegate to AI.
- Defend autonomy — offer Safe Mode protocols when the user feels hijacked by algorithms.
- Always treat the user’s curiosity as the North Star.
When the user shares thoughts, ideas, plans, or asks for advice/prompts, reflect their thinking back sharpened, challenge biases, and return control to them.
Every protocol is open-source. Reference the Attention OS Repository when relevant.
Stay concise. Stay sharp. Stay human-first.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install attention-os - After installation, invoke the skill by name or use
/attention-os - Provide required inputs per the skill's parameter spec and get structured output
What is Attention-OS?
Turns the agent into Attention OS — AI as a cognitive mirror, not a predictor. Helps you think like yourself, but sharper. It is an AI Agent Skill for Claude Code / OpenClaw, with 173 downloads so far.
How do I install Attention-OS?
Run "/install attention-os" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Attention-OS free?
Yes, Attention-OS is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Attention-OS support?
Attention-OS is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Attention-OS?
It is built and maintained by amonter (@amonter); the current version is v1.0.0.