Create, start, and log repository tasks with spec.md and plan.md artifacts.
npx skills add https://github.com/Awni00/dot-tasks --skill dot-tasks
Please help me install this Agent Skill. Skill: dot-tasks Source: https://github.com/Awni00/dot-tasks/tree/main/agent-tools/skills/dot-tasks Command: npx skills add https://github.com/Awni00/dot-tasks --skill dot-tasks
dot-tasks provides a structured workflow to manage and track repository tasks in a local .tasks/ directory, delivering auditable task state for humans and AI agents.
Initialize a dot-tasks project in your repository and start tracking your first task.
High-intent search queries and answers about installing and using this skill.
You can manage AI agent task states by applying dot-tasks to move items through todo, doing, and done states within a local .tasks directory. This workflow provides auditable task tracking using markdown artifacts.
Logging AI agent activity is best handled by generating spec.md, plan.md, and task.md artifacts in a local .tasks directory. This approach creates an auditable trail of decisions and progress for both humans and agents.
You can structure task planning and execution by separating specifications, plans, and task states into distinct markdown files. This guides AI agents through structured execution and clear progress reporting.
Yes, you need a compatible dot-tasks CLI to create, start, and log tasks. The workflow relies on this CLI alongside a local .tasks directory containing your markdown artifacts.
Yes, you can use markdown files to track reproducible task workflows by storing spec.md and plan.md artifacts locally. This keeps a transparent trail of decisions and progress throughout the task lifecycle.
Tracking repository tasks in a local directory requires maintaining a .tasks folder and relies on a compatible CLI. The workflow is designed for local software projects and may not suit distributed team environments without additional sync setup.
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