sadd

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

Execute tasks through competitive multi-agent generation, multi-judge evaluation, and evidence-based synthesis

Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection and quality-focused prompting

Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, and LLM-as-a-judge verification

Evaluate solutions through multi-round debate between independent judges until consensus

Launch a sub-agent judge to evaluate results produced in the current conversation

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with multi-agent evaluation