egenskriven-workflows

You can standardize AI agent task workflows by configuring explicit workflow and agent modes, reducing ambiguity and overhead in project coordination. This skill provides configurable modes like Strict, Light, and Minimal to control task tracking and discipline across solo and team projects.

The agent autonomy modes for AI task management are Autonomous, Collaborative, and Supervised. These modes tailor how much independence and oversight an AI agent has when executing tasks, allowing you to adjust agent behaviors based on your project's specific requirements.

To configure AI task tracking discipline, select from Strict, Light, and Minimal workflow modes. Strict provides the highest level of task tracking and discipline, while Minimal offers a lighter approach, ensuring the AI agent's behavior matches your project's coordination needs.

Yes, you can use these AI task workflows for both solo and team contexts. The skill supports task tracking, task creation, and automated guidance across projects, allowing standardized execution whether you are working individually or coordinating with a team.

To generate instructions for hook-based AI task sessions, use the prime command after configuring your desired workflow and agent modes. This generates full instructions for integration and provides structured session patterns and resume options for your tasks.