Mozi is a lightweight AI assistant framework for Chinese AI models and communication platforms. It connects DeepSeek, Qwen, Kimi, and other models to QQ, Feishu, DingTalk, and WeCom for automated workflows. Ideal for operations teams managing Chinese enterprise tools.
git clone https://github.com/King-Chau/mozi.gitThe mozi skill is an innovative automation tool designed to support domestic large models and popular communication platforms such as Feishu, DingTalk, QQ, and WeChat Work. By leveraging the capabilities of Clawdbot and Moltbot, mozi enables users to automate repetitive tasks and streamline communication workflows. This skill is particularly beneficial for developers and product managers looking to enhance their operational efficiency through AI automation. One of the key benefits of using mozi is its ability to significantly reduce manual workload, allowing teams to focus on more strategic tasks. Although specific time savings are currently unknown, the skill's intermediate complexity and 30-minute implementation time suggest that users can quickly integrate it into their existing systems. This rapid deployment can lead to immediate improvements in productivity, especially for teams that rely heavily on the supported communication platforms. mozi is ideal for AI practitioners, developers, and product managers who are seeking to optimize their workflows. By automating interactions across multiple platforms, teams can improve collaboration and reduce the time spent on mundane tasks. For instance, a product manager could use mozi to automate status updates across different messaging apps, ensuring that all stakeholders are informed without the need for constant manual input. While the skill is categorized as intermediate in terms of implementation difficulty, it provides a robust solution for those looking to incorporate AI-first workflows into their operations. As organizations increasingly adopt AI automation, tools like mozi will play a critical role in enhancing productivity and fostering innovation. By integrating mozi into their workflows, teams can harness the power of AI to drive efficiency and streamline communication processes.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/King-Chau/moziCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Set up Mozi to automate workflows between [CHINESE_LLM] and [ENTERPRISE_PLATFORM]. Use this model for [SPECIFIC_TASK] in [INDUSTRY]. Ensure compliance with [COMPANY] policies.
# Mozi Workflow Automation Setup ## Configuration Details - **LLM Model**: DeepSeek - **Enterprise Platform**: Feishu - **Task**: Automated Customer Support - **Industry**: E-commerce ## Implementation Steps 1. **Integration**: Connect DeepSeek to Feishu via Mozi API. 2. **Workflow Design**: Create a support ticket automation flow. 3. **Testing**: Simulate customer queries and validate responses. 4. **Deployment**: Roll out to the customer support team. ## Compliance Check - Ensure data privacy standards are met. - Verify response accuracy and tone alignment.
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