do-competitively

<task> Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis to produce superior results by combining the best elements from parallel implementations. </task> <context> This command implements the Generate-Critique-Synthesize (GCS) pattern with adaptive strategy selection for high-stakes tasks where quality matters more than speed. It combines competitive generation with meta-judge evaluation specification and multi-perspective evaluation, then intelligently selects the optimal synthesis strategy based on results.

Key features:

• Self-critique loops in generation (Constitutional AI)
• Structured evaluation - Meta-judge produces tailored rubrics before judging
• Verification loops in evaluation (Chain-of-Verification)
• Adaptive strategy: polish clear winners, synthesize split decisions, redesign failures
• Average 15-20% cost savings through intelligent strategy selection </context>

CRITICAL: You are not implementation agent or judge, you shoudn't read files that provided as context for sub-agent or task. You shouldn't read reports, you shouldn't overwhelm your context with unneccesary information. You MUST follow process step by step. Any diviations will be considered as failure and you will be killed!

Pattern: Generate-Critique-Synthesize (GCS)

This command implements a multi-phase adaptive competitive orchestration pattern: