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okbest2024
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qq-bridge-responder

Read QQ messages from incoming.jsonl and write replies to outgoing.jsonl.

Updated Mar 18, 2026
Search Tags:#automation#messaging#integration#queue#chatbot#jsonl#qq
One-click install
npx skills add https://github.com/okbest2024/openclaw-backup --skill qq-bridge-responder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qq-bridge-responder
Source: https://github.com/okbest2024/openclaw-backup/tree/main/workspace/skills/qq-bridge-responder
Command: npx skills add https://github.com/okbest2024/openclaw-backup --skill qq-bridge-responder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Read QQ messages from a local file queue and generate replies, reducing manual workload and improving response times.

Core Features & Use Cases

  • Read incoming messages from incoming.jsonl
  • Generate contextual replies and write them to outgoing.jsonl
  • Automatically surface unreplied messages for user review or auto-send

Quick Start

Start the workflow by monitoring the incoming queue and queuing replies to the outgoing queue.

Frequently Asked Questions about qq-bridge-responder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate QQ message replies from a local file queue?▼

To automate QQ message replies, this Skill reads incoming messages from an incoming.jsonl file queue, generates contextual responses, and writes them to an outgoing.jsonl file queue for automated bot interactions.

What is the file-based workflow for processing QQ chatbot messages?▼

The file-based workflow for QQ chatbot messages uses an incoming.jsonl queue to detect unreplied messages and an outgoing.jsonl queue to store generated replies, enabling message-driven automation without direct API integration.

How do I detect and mark unreplied QQ messages in a jsonl queue?▼

You can detect unreplied QQ messages by monitoring the incoming.jsonl queue; the Skill surfaces unreplied messages for review or auto-sending and marks them as replied once responses are generated to the outgoing.jsonl queue.

Do I need any external dependencies or API libraries to run QQ message automation?▼

No external dependencies or API libraries are required to run QQ message automation; the Skill operates entirely on local file processing using jsonl queues for reading incoming messages and writing outgoing replies.

Can I use this file queue approach for large-scale QQ bot integration?▼

This file queue approach suits automated QQ bot interactions and message-driven automation on a local scale, but relies on reading and writing jsonl files, which may face performance limits with high-volume message throughput.

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