flow-develop

Multi-AI workflow orchestration coordinates external AI providers like Codex and Gemini with Claude to generate, compare, and synthesize implementation approaches. It enforces validation gates and state tracking to reduce the risk of building software from a single perspective.

To coordinate multiple AI providers, this Skill manages provider availability checks, executes provider generation, tracks state, and synthesizes outputs. It applies quality validation gates before producing the final implementation plan to guide development decisions.

Yes, you can use Claude Code with Codex and Gemini for feature development. The workflow orchestrates these external AI providers to gather multiple perspectives and produce a validated implementation plan before writing the final solution.

Orchestrated provider execution is needed when creating complex features, API changes, architecture implementations, or business deliverables that require multiple provider perspectives and synthesis validation to guide implementation decisions safely.

The best way to validate AI-generated code is through structured workflow enforcement with quality checks. This Skill manages context detection, state tracking, and synthesis validation to produce a validated implementation plan before execution.

Yes, multi-AI workflow orchestration requires state management. The Skill manages context detection, provider availability checks, state tracking, and synthesis validation to ensure implementation plans are validated before execution.