Transfer tasks between AI agents using an email-inspired protocol.
npx skills add https://github.com/maxoreric/sop-engine --skill handoff-skill
Please help me install this Agent Skill. Skill: handoff-skill Source: https://github.com/maxoreric/sop-engine/tree/main/%24workflow.input.user_intent/skills/handoff-skill Command: npx skills add https://github.com/maxoreric/sop-engine --skill handoff-skill
This Skill addresses the challenge of transferring tasks and context between different AI agents, ensuring a smooth and structured workflow.
handoff-skill facilitates this transfer with all relevant research data attached.Use the handoff skill to transfer the current task to the writer-agent with the subject 'Draft initial report'.
High-intent search queries and answers about installing and using this skill.
Inter-agent task handover solves this by using a structured, email-inspired protocol to manage task context, inputs, outputs, and status tracking across agent boundaries. This ensures all necessary information is passed along seamlessly during the transfer.
Task status tracking across agent boundaries is managed by assigning states like pending, in_progress, completed, or failed. The handoff protocol supports task chaining through reference IDs, providing full traceability and visibility for chained agent workflows.
The email-inspired protocol facilitates agent communication by structuring task transfers like an email. It packages the task description, historical context, and inputs into a managed format, passing the complete workload to the next agent in the workflow chain.
Yes, structured task transfer is designed for workflows like a research-agent handing off findings to a writer-agent. The protocol attaches all relevant research data, task inputs, and history, allowing the writer-agent to generate a report with full context.
No specific frameworks are required as dependencies for implementing inter-agent task handover. The protocol operates independently to structure context management and task transfer, relying on reference IDs for traceability rather than external platform constraints.
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