alfred

Align Google Calendar events with Todoist tasks to propose energy-aware schedule changes.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/haingt-dev/agent --skill alfred
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alfred
Source: https://github.com/haingt-dev/agent/tree/main/global/skills/alfred
Command: npx skills add https://github.com/haingt-dev/agent --skill alfred

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates personal schedule optimization by aligning Google Calendar events with Todoist tasks.

Core Features & Use Cases

  • Integrates Google Calendar and Todoist to propose energy-aware schedule changes with an approval gate.
  • Applies science-based scheduling models (sleep/wake, cortisol, IF, ultradian rhythms) to maximize productivity while respecting anchors like family commitments.
  • Use case: when Hải mentions planning his day, the skill can generate a full proposal and await approval before applying changes.

Quick Start

Provide a full-day scheduling proposal based on current calendar and Todoist tasks, then await user approval before applying changes.

Frequently Asked Questions about alfred

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

FAQPage Schema
How do I automate aligning Google Calendar events with Todoist tasks?

Science-based scheduling applies sleep/wake cycles, cortisol patterns, intermittent fasting, and ultradian rhythms to maximize productivity. This energy-aware approach respects anchors like family commitments while delivering optimized time slots for day-to-day planning and travel days.

Does this scheduling automation apply changes to my calendar automatically?

No, scheduling automation uses an approval-based execution flow. The system proposes energy-aware time slots and waits for your explicit approval before applying any changes to Google Calendar or Todoist, ensuring you retain full control over your schedule.

What science-based scheduling models are used for personal time optimization?

Science-based scheduling applies sleep/wake cycles, cortisol patterns, intermittent fasting, and ultradian rhythms to maximize productivity. This energy-aware approach respects anchors like family commitments while delivering optimized time slots for day-to-day planning and travel days.

Can I use this scheduling approach for travel days and wake-time shifts?

Yes, the scheduling engine handles day-to-day planning, travel days, wake-time shifts, and major events. It applies sleep and cortisol models to adjust your energy-aware time slots appropriately for these varied contexts.

What is the best way to generate a full-day scheduling proposal from my tasks and calendar?

The best way is to trigger a full-day scheduling proposal based on your current calendar and Todoist tasks. The system analyzes your events and tasks, applies science-based scheduling models, and presents an energy-aware plan for your approval.