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Automating multi-agent debates involves structuring parallel implementation, critique, and verification stages to systematically improve task outputs. This Skill organizes a three-agent workflow to evaluate solutions iteratively, select the best result, and ensure reproducibility using version control.

A structured three-agent debate workflow is an automated process where agents execute parallel implementation, critique, and selection stages. It is used for AI-assisted code review, research synthesis, and design critique to refine results through systematic feedback and iterative improvements.

Yes, the multi-agent workflow automation requires a Python environment with concurrent.futures, subprocess, re, and datetime dependencies installed. These libraries support parallel analysis, structured scripting, and reproducible version control of agent outputs.

To run a multi-agent debate cycle, execute the provided script with a task description and specify an output directory. This initiates the automated workflow, managing parallel agent analysis, iterative feedback, and the final selection of the best solution.

Yes, you can use this iterative critique workflow for research synthesis and decision-making tasks. It supports complex multi-stage workflows where multiple perspectives are needed to evaluate, critique, and systematically refine results for better outcomes.