Delegates physical-world tasks from AI agents to human executors via GitHub.
npx skills add https://github.com/teaguesterling/git-messe-af --skill mess
Please help me install this Agent Skill. Skill: mess Source: https://github.com/teaguesterling/git-messe-af/tree/main Command: npx skills add https://github.com/teaguesterling/git-messe-af --skill mess
This Skill enables AI agents to request and manage tasks in the physical world, bridging the gap between digital intelligence and real-world execution.
Use the mess skill to request a check on the garage door status.
High-intent search queries and answers about installing and using this skill.
To delegate physical tasks from an AI agent to a human executor, you use a structured protocol managed via GitHub that supports request creation, status tracking, and response delivery for real-world automation.
Human-in-the-loop automation for physical environments is a process where AI agents request observations, actions, photos, or purchases, and human executors complete the physical tasks and return responses.
Yes, you need GitHub repository access and a personal access token to operate the task delegation protocol, which manages requests and tracks status between AI agents and human executors.
An AI agent tracks the status of a physical task like checking a garage door through a structured GitHub protocol that logs request creation and delivers text or photo responses from the human executor.
Yes, you can use the GitHub integration to request photo observations from physical environments, enabling an AI agent to receive image responses from human executors for remote monitoring and control.
The limitations of using GitHub for real-world task delegation include requiring a personal access token for operation and depending entirely on human executors to provide physical presence and manual responses.
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