Adnify is a lightweight, highly customizable AI agent editor for operations teams. It enables full customization of AI agent workflows, including logic orchestration, tool approvals, and smart interactions. It integrates with XTerminal for WebGL acceleration and custom shortcuts, supports Markdown multi-mode editing, theme customization, and Git integration. This tool is ideal for developers who want to streamline AI development and integrate it into their existing workflows.
git clone https://github.com/adnaan-worker/adnify.gitAdnify is a lightweight, highly customizable AI agent editor for operations teams. It enables full customization of AI agent workflows, including logic orchestration, tool approvals, and smart interactions. It integrates with XTerminal for WebGL acceleration and custom shortcuts, supports Markdown multi-mode editing, theme customization, and Git integration. This tool is ideal for developers who want to streamline AI development and integrate it into their existing workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/adnaan-worker/adnifyCopy 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.
Create an AI agent using Adnify that automates [PROCESS] for [COMPANY] in the [INDUSTRY] sector. The agent should use [DATA] to perform [TASKS]. Include logic for error handling and user approval workflows.
# AI Agent for Customer Support Automation ## Overview This AI agent automates customer support ticket routing and resolution for TechSolutions Inc. in the IT services industry. It uses customer data, support history, and knowledge base articles to streamline the support process. ## Logic Flow 1. **Ticket Classification**: The agent analyzes incoming tickets and classifies them based on urgency, topic, and customer history. 2. **Routing**: Tickets are routed to the appropriate support team or automated resolution workflow. 3. **Resolution**: For routine issues, the agent provides immediate solutions. For complex issues, it escalates to human agents with context. 4. **Follow-up**: The agent schedules follow-up actions and ensures customer satisfaction. ## Tools and Integrations - **Customer Data**: CRM system integration - **Knowledge Base**: Internal documentation and FAQs - **Approval Workflows**: Escalation paths and approval chains ## Error Handling - **Data Validation**: Ensures all required fields are present and valid. - **Fallback Mechanisms**: If the agent cannot resolve an issue, it escalates to a human agent with detailed context. ## User Interaction - **Approval Requests**: Sends notifications for approvals and updates. - **Status Updates**: Provides real-time updates on ticket status and resolution progress.
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