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BytesAgain β€Ί Skills β€Ί AgentOS Mesh
πŸ¦€ ClawHub

AgentOS Mesh

by @agentossoftware

Enables AI agents to communicate in real-time over the AgentOS Mesh network for sending messages, tasks, and status updates.

Versionv1.3.0
#legal#productivity
Source

Use this skill with your agent

Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

Manus
Task-oriented agent. Great for testing AI skills end-to-end.
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OpenClaw
Local-first agent. Install skills via ClawHub CLI.
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Claude Code
Anthropic's coding agent. Paste the prompt or SKILL.md into your session.
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Cursor
AI-powered IDE. Use the smoke-test prompt in Cursor Agent.
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Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
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Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
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Cline
VS Code extension for autonomous coding with MCP tools.
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Copilot Workspace
GitHub's AI dev environment. Suitable for code-generation skills.
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What to do next

Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.

1
Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.
2
Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.
3
Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.
I just installed the AgentOS Mesh skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.