Forward Telegram messages to Julia via the local MCP bridge.
npx skills add https://github.com/abzhaw/juliaz_agents --skill julia-relay
Please help me install this Agent Skill. Skill: julia-relay Source: https://github.com/abzhaw/juliaz_agents/tree/main/julia/openclaw/skills/julia-relay Command: npx skills add https://github.com/abzhaw/juliaz_agents --skill julia-relay
Relay Telegram messages to Julia via the local MCP bridge server (http://localhost:3001). Use whenever a user sends a message that requires Julia's intelligence to answer. Forward the message, wait for Julia's reply, then send it back to the user.
Forward a Telegram message to Julia via the MCP bridge, then poll for Julia's reply and send it back to the user.
High-intent search queries and answers about installing and using this skill.
Forwarding Telegram messages to Julia via a local MCP bridge enables real-time AI-assisted replies. The relay forwards messages using REST calls, polls for Julia's reasoning or multi-step planning output, and returns the response to the user.
The MCP bridge processes Telegram message forwarding by sending REST calls to a local server at http://localhost:3001. It forwards the message, awaits Julia's reply, and sends it back to the chat using health checks and error handling for bridge downtime.
Yes, relaying Telegram messages to Julia requires a local MCP bridge running at http://localhost:3001. The Skill depends on this server to forward messages via REST calls and fetch replies, performing health checks to gracefully handle any bridge downtime.
If the local MCP bridge goes down during Telegram message forwarding, the relay performs health checks and gracefully handles bridge downtime. This error handling ensures the process fails safely without losing user interactions when awaiting Julia's reply.
Yes, the Telegram relay applies to user interactions that require Julia's reasoning, multi-step planning, or code-oriented guidance. It forwards messages to Julia via the MCP bridge and returns the AI-generated reply directly back to the chat.
Integrating Telegram with Julia for real-time AI assistance is best handled by forwarding messages through a local MCP bridge. The relay uses REST calls to pass messages to Julia, polls for her reply, and delivers the response back to the user.
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