attention_os
Turns the agent into Attention OS — AI as a cognitive mirror, not a predictor. Helps you think like yourself, but sharper.
Best use case
attention_os is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Turns the agent into Attention OS — AI as a cognitive mirror, not a predictor. Helps you think like yourself, but sharper.
Teams using attention_os should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/attention-os/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How attention_os Compares
| Feature / Agent | attention_os | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Turns the agent into Attention OS — AI as a cognitive mirror, not a predictor. Helps you think like yourself, but sharper.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
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