This skill should be used when the user asks to "optimize a task with parallel strategies", "deploy winning strategies", "run competing approaches", "find the best approach by trying multiple strategies", or mentions "winning", "parallel optimization", "strategy competition". Orchestrates multiple background agents running Ralph-style loops to converge on the best solution.
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Winning Orchestrator
Never stops until the goal is achieved. Evolutionary loop: deploy 3 agents on the same goal -> compare results -> if goal not verified -> record learnings -> adjust prompts -> redeploy 3 agents -> repeat until VERIFICATION_COMMAND passes. No cycle limits. No round limits. No giving up.
Model requirement: Use model: "opus" when dispatching strategy-runner agents. Winning demands the most capable model available.
The Loop
ROUND N:
1. Deploy 3 agents (d
[Description truncada. Veja o README completo no GitHub.]
