mess
CommunityDispatch physical tasks from AI to humans.
Personal & Entrepreneur#AI agent#task delegation#human-in-the-loop#GitHub integration#physical tasks#real-world automation
Authorteaguesterling
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables AI agents to request and manage tasks in the physical world, bridging the gap between digital intelligence and real-world execution.
Core Features & Use Cases
- Task Delegation: AI agents can request observations, actions, photos, or purchases from human executors.
- Real-World Interaction: Facilitates tasks requiring physical presence, like checking a device's status or retrieving an item.
- Use Case: An AI agent can ask a human executor to "check if the garage door is closed" and receive a text or photo response, enabling remote monitoring and control of physical environments.
Quick Start
Use the mess skill to request a check on the garage door status.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mess Download link: https://github.com/teaguesterling/git-messe-af/archive/main.zip#mess Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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