The session-handoff skill streamlines the transfer of user sessions between AI agents, ensuring seamless continuity in interactions. This enhances user experience and saves time by reducing interruptions during multi-agent workflows.
git clone https://github.com/softaworks/agent-toolkit.gitThe session-handoff skill is designed to facilitate seamless transitions of user sessions between AI agents, ensuring that users do not experience interruptions during their interactions. This skill allows one AI agent to pass control to another without losing context, which is crucial in maintaining a fluid user experience in complex workflows. By effectively managing user sessions, the skill enhances the overall efficiency of AI-driven applications. One of the key benefits of the session-handoff skill is the significant time savings it offers. By eliminating the need for users to repeat their queries or provide context again when switching agents, organizations can improve user satisfaction and reduce frustration. This is particularly valuable in scenarios where multiple agents are involved, such as customer support or multi-faceted service applications, where continuity is key to user engagement. Developers, product managers, and AI practitioners will find this skill particularly useful in applications that require collaboration between various AI agents. For instance, in a customer support scenario, one agent may handle initial inquiries while another specializes in technical issues. The session-handoff skill ensures that users can transition smoothly between these agents, maintaining the context of their conversation. Implementation of the session-handoff skill is straightforward, making it accessible even for those with moderate experience in AI automation. It fits seamlessly into AI-first workflows by enhancing the capabilities of existing AI agents, allowing organizations to build more sophisticated and user-friendly applications. This skill is ideal for any business looking to optimize their customer interaction processes and improve operational efficiency.
Transfer customer support sessions between agents to provide specialized assistance without user interruption.
Facilitate technical support handoffs for complex issues, ensuring users receive expert help promptly.
Route sales inquiries to specialized agents based on the nature of the request, improving conversion rates.
Enable multi-agent collaboration in service applications, allowing for a more comprehensive approach to user needs.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/softaworks/agent-toolkitCopy 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.
Facilitate a session handoff between [AGENT_1] and [AGENT_2] for the user [USER_NAME]. Summarize the key points discussed so far, including [TOPIC] and any unresolved issues. Ensure that [AGENT_2] is fully briefed on the user's preferences and next steps.
Handoff Summary for User: John Doe Agent 1: Hi John, I’m now handing you over to Agent 2, who will assist you further. Here’s a quick summary of our conversation: - **Topic Discussed**: Website Development - **Key Points**: We discussed your requirements for a new e-commerce site, focusing on a user-friendly interface and mobile responsiveness. You mentioned that you prefer a minimalist design and would like to incorporate a blog section. - **Unresolved Issues**: We need to finalize the payment gateway options and discuss the timeline for the project. Agent 2: Hello John! I’m taking over from Agent 1. I understand you’re looking for a minimalist design for your e-commerce site. Let’s dive into the payment options and set a timeline that works for you. Can you share your preferred payment methods?
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