Agent skill · neolabhq
do-competitively
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
What it needs
About 11k tokens when loaded.
What this skill does
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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills neolabhq/do-competitively--387560