Expired50% confidenceFactTime unknown
The `/goal` command uses a dual-agent architecture where one agent acts as a worker (executor) and another acts as a boss (verifier)
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Claude Code /goal Command Explained: Dual-Agent Architecture for Fully Autonomous AI Task Completion
bilibili环球AI圈
Related Claims
UnverifiedThe `/goal` command's dual-agent architecture separates 'execution' and 'verification' into two independent agents to avoid blind spots that occur when a single model evaluates its own work78% similarUnverifiedThe worker agent in `/goal`'s dual-agent architecture uses Opus or Sonnet models to handle execution tasks such as building files, writing code, and organizing data77% similarUnverified/goal命令背后采用双智能体架构，同时运行两个AI智能体：一个负责执行任务（工人），另一个负责验证目标是否达成（老板）75% similarUnverifiedThe classic paradigm of Agent workflows is the separation of the planning layer and the execution layer, where the planning layer is responsible for understanding goals, decomposing tasks, and generating execution plans, while the execution layer handles actual operations via dedicated tools or smaller models.71% similarUnverifiedIn a Multi-Agent architecture, the Orchestrator Agent is responsible for task decomposition and progress tracking, while Worker Agents each have their own role (e.g., Search Agent for retrieval, Critic Agent for validation, Writer Agent for output merging).71% similar
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