skill-parallel-agents

Parallel multi-model AI orchestration coordinates multiple providers like Codex, Gemini, and Claude to process tasks simultaneously, using cross-model reviews and consensus gates to catch blind spots and validate results before delivery.

Trigger a parallel AI workflow across multiple providers by using the explicit /octo:multi command, which immediately invokes Codex, Gemini, and Claude to execute the four-phase Double Diamond process: discover, define, develop, and deliver.

Yes, you can use deterministic scripts to enforce structured AI workflows by applying a Double Diamond methodology that requires passing a consensus gate and cross-model review before advancing through discovery, definition, development, and delivery phases.

The best way to uncover problems and converge on solutions is applying the Double Diamond workflow, which diverges across multiple AI providers to explore issues broadly, then converges using consensus gates to validate a unified solution.

No, multi-provider orchestration automates the coordination of each AI model, relying on deterministic scripts and cross-model reviews to manage the transition from development to validated delivery without manual model-by-model intervention.

You should avoid parallel multi-provider orchestration for simple, single-step tasks that do not benefit from the Double Diamond methodology, as the overhead of cross-model consensus gates and multi-phase reviews is designed for complex problem validation.