Run the same prompt through Claude, Codex, and Gemini in parallel and synthesize results.
npx skills add https://github.com/EvolutionAPI/evo-nexus --skill dev-ccg
Please help me install this Agent Skill. Skill: dev-ccg Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/dev-ccg Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill dev-ccg
Tri-model orchestration addresses the risk of single-model bias by evaluating the same prompt across Claude, Codex, and Gemini in parallel and selecting the most robust answer.
Submit a single prompt topic to be run in parallel across Claude, Codex, and Gemini and retrieve a synthesized best answer.
High-intent search queries and answers about installing and using this skill.
Parallel model evaluation runs your prompt simultaneously through Claude, Codex, and Gemini to aggregate responses and synthesize a final answer. It highlights agreement and discrepancies, significantly reducing single-model bias for critical architectural decisions and complex analyses.
Submit a single prompt topic to trigger parallel evaluation across Claude, Codex, and Gemini. The orchestration engine aggregates the responses, highlights discrepancies, and synthesizes a final validated answer saved to a structured workspace.
External API access to Codex and Gemini is optional. The orchestration engine handles fallback to single-model mode if those APIs are unavailable, ensuring prompt synthesis still executes and saves results to the structured workspace.
Use multi-model orchestration for high-stakes architectural decisions, critical code reviews, and complex analyses. It applies tri-model prompt synthesis to mitigate risk, improving reliability when single-model output lacks sufficient consensus for risk mitigation.
The primary limitation occurs when external APIs are unavailable, triggering fallback to single-model mode. Without full API access, parallel evaluation stops, preventing cross-model discrepancy comparison and reducing the synthesized result's reliability.
kwt00Orchestrate Codex and Gemini models for parallel task analysis.
raykCoordinate subagents with parallel calls, token budgets, and voting.
evolution-foundationOrchestrate tri-model execution across Claude, Codex, and Gemini to synthesize consensus answers.
ricableOptimize LLM inference on NVIDIA GPUs with TensorRT-LLM quantization and parallelism.
