attention

Surface attention-flagged tasks from session data and local calendars.

6|2|Updated Jul 8, 2012
One-click install
npx skills add https://github.com/athal7/dotfiles --skill attention-athal7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: attention
Source: https://github.com/athal7/dotfiles/tree/main/skills/attention
Command: npx skills add https://github.com/athal7/dotfiles --skill attention-athal7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Energy management and cognitive load awareness during focused work sessions. This Skill helps you pause appropriately, surface attention-worthy tasks from the current session, and prevent overwhelm while maintaining momentum.

Core Features & Use Cases

  • Surface attention signals from session data and local-machine config to reduce noise and highlight truly important items.
  • Prioritize items by urgency and relevance to current focus, providing a concise next-step plan.
  • Present an energy-aware snapshot that guides quick decisions and safe switchover between tasks.

Quick Start

Ask the AI to surface the most urgent attention items from the current session and outline next actionable steps.

Frequently Asked Questions about attention

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I surface urgent tasks from my current work session to prevent overwhelm?

To surface urgent tasks and prevent overwhelm, you can aggregate in-session context and local-configured calendars via SQL queries to produce a prioritized, energy-aware snapshot of attention-worthy items.

How does energy management work during focused work sessions?

Energy management during focused work sessions works by filtering local calendars and reminders based on per-machine in-scope settings, ensuring you only see attention-flagged surfaces to reduce cognitive load and noise.

Can I use local calendars and reminders to prioritize my current focus?

Yes, you can use local calendars and reminders to prioritize your focus. The system applies per-machine in-scope settings to filter these items and highlights only what is truly relevant to your current session.

What is the best way to reduce cognitive load and maintain momentum when switching tasks?

The best way to reduce cognitive load and maintain momentum is to generate an energy-aware snapshot that guides quick decisions and enables safe switchover between tasks without losing focus.

How do I filter out noise and highlight important work items from my session data?

You can filter out noise and highlight important work items by applying per-machine in-scope settings to your aggregated session data, surfacing only attention-flagged items to prevent overwhelm.