{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":131,"output":253,"cacheRead":2816,"cacheWrite":0,"totalTokens":3200,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
{"type":"tool_call","toolName":"ls","args":{"path":".","limit":500}}
{"type":"tool_result","toolName":"ls","isError":false}
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":561,"output":684,"cacheRead":2816,"cacheWrite":0,"totalTokens":4061,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
{"type":"tool_call","toolName":"read","args":{"path":"animate/SKILL.md"}}
{"type":"tool_result","toolName":"read","isError":false}
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3191,"output":22,"cacheRead":2816,"cacheWrite":0,"totalTokens":6029,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
{"type":"tool_call","toolName":"read","args":{"path":"delight/SKILL.md"}}
{"type":"tool_result","toolName":"read","isError":false}
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":5708,"output":22,"cacheRead":2816,"cacheWrite":0,"totalTokens":8546,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
{"type":"tool_call","toolName":"read","args":{"path":"polish/SKILL.md"}}
{"type":"tool_result","toolName":"read","isError":false}
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":7405,"output":2635,"cacheRead":3200,"cacheWrite":0,"totalTokens":13240,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
{"type":"tool_result","toolName":"read","isError":false}
{"type":"assistant_text","text":"Skills: caveman, frontend-design, animate, delight\nOrder: frontend-design (run context protocol; fallback: teach-impeccable if no context) -> animate -> delight — caveman loaded concurrently\nWhy: frontend-design is mandatory to capture brand/personality & quality bar; animate implements subtle hover/micro-interactions; delight adds restrained personality; caveman ensures concise communication.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":11774,"output":783,"cacheRead":3712,"cacheWrite":0,"totalTokens":16269,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}