long-term-task

What problem does it solve?

Coordinating long-running tasks across multiple agents requires infrastructure to manage tasks, track progress, and coordinate communication. This Skill provides that backbone, enabling scalable collaboration without forcing agents to implement orchestration logic themselves.

Core Features & Use Cases

• Self-contained task scheduling, state management, and progress reporting for multi-agent workflows.
• Zero-intrusion: Agents interact via CLI or Python SDK without modifying existing code.
• Supports multi-agent coordination for long-running processes like data pipelines, model training, or research tasks.
• Real-world example: Run a daily HF paper study with goals and milestones; monitor progress and adjust strategy.

Quick Start

Use the long-term-task skill to create and manage a daily HF papers workflow: ltt create --work-dir "./.ltt" --name "daily-hf-papers" --goals "download paper, summarize, write notes" --schedule daily --interval 30