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Use when user wants to create, write, or build a new skill.",{"claudeCode":1071},"mattpocock/skills","write-a-skill","https://github.com/mattpocock/skills",{"basePath":1075,"githubOwner":1076,"githubRepo":1077,"locale":18,"slug":1072,"type":249},"skills/productivity/write-a-skill","mattpocock","skills",{"evaluate":1079,"extract":1084},{"promptVersionExtension":207,"promptVersionScoring":208,"score":1022,"tags":1080,"targetMarket":218,"tier":219},[1081,1055,1082,216,1083],"skill-creation","documentation","productivity",{"commitSha":281},{"parentExtensionId":1086,"repoId":1087},"k171mc92f05dc4v6jzgf6bng7d86mr9t","kd70nm2vazehgqc4j28ve6cwv986mv1s",[1055,1082,1083,216,1081],{"evaluatedAt":1090,"extractAt":1091,"updatedAt":1090},1778693512400,1778692846401,{"_creationTime":1093,"_id":1094,"community":1095,"display":1096,"identity":1102,"providers":1105,"relations":1114,"tags":1117,"workflow":1118},1778691530223.3884,"k1718hxj2cjyjrmhxfbj7theex86mdba",{"reviewCount":8},{"description":1097,"installMethods":1098,"name":1100,"sourceUrl":1101},"使用多提供商路由从文本生成图像和视频 — 支持 GPT Image 2.0（近乎完美的文本渲染）、Nanobanana 2、Seedream 5.0、Midjourney V8.1（统一的逼真+动漫风格）、Flux 2 Klein（经济高效的草稿）、Seedance 2.0 / Happyhorse 1.0 / Veo 3.1 视频，以及本地 ComfyUI 工作流。包含 1,446 个精选提示和风格感知提示增强。当用户想要创建图像/视频、设计素材、制作照片动画、增强提示或管理 AI 艺术工作流时使用。不适用于：通用聊天、代码生成、文档编写、现有素材的视频编辑、音频/TTS，或任何与 AI 图像/视频创建无关的任务。",{"claudeCode":1099},"jau123/MeiGen-AI-Design-MCP","openclaw","https://github.com/jau123/MeiGen-AI-Design-MCP",{"basePath":1100,"githubOwner":1103,"githubRepo":1104,"locale":1018,"slug":1100,"type":249},"jau123","MeiGen-AI-Design-MCP",{"evaluate":1106,"extract":1113},{"promptVersionExtension":207,"promptVersionScoring":208,"score":1022,"tags":1107,"targetMarket":218,"tier":219},[1108,1109,1110,1111,216,1112],"image-generation","video-generation","ai-art","comfyui","design-assistant",{"commitSha":281},{"repoId":1115,"translatedFrom":1116},"kd7b1trrphkh2efj71w89w7qzh86nh22","k175txezbab4wcy00m9gcdq8qx86mz9k",[1110,1111,1112,1108,216,1109],{"evaluatedAt":1119,"extractAt":1120,"updatedAt":1121},1778691399174,1778691316210,1778691530223,{"_creationTime":1123,"_id":1124,"community":1125,"display":1126,"identity":1132,"providers":1137,"relations":1145,"tags":1147,"workflow":1148},1778687399826.0247,"k173skx1fvkafn38prsv2d0qbh86nn4h",{"reviewCount":8},{"description":1127,"installMethods":1128,"name":1130,"sourceUrl":1131},"Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.",{"claudeCode":1129},"github/awesome-copilot","Arize Prompt Optimization","https://github.com/github/awesome-copilot",{"basePath":1133,"githubOwner":1134,"githubRepo":1135,"locale":18,"slug":1136,"type":249},"skills/arize-prompt-optimization","github","awesome-copilot","arize-prompt-optimization",{"evaluate":1138,"extract":1144},{"promptVersionExtension":207,"promptVersionScoring":208,"score":1022,"tags":1139,"targetMarket":218,"tier":219},[1140,216,1141,1142,301,1143],"llm","optimization","arize","data-analysis",{"commitSha":281,"license":240},{"repoId":1146},"kd7dsmv976w8rtkqnjjfdtfgks86nnmw",[1142,301,1143,1140,1141,216],{"evaluatedAt":1149,"extractAt":1150,"updatedAt":1149},1778689257343,1778687399826,{"_creationTime":1152,"_id":1153,"community":1154,"display":1155,"identity":1161,"providers":1166,"relations":1172,"tags":1175,"workflow":1176},1778686640222.7952,"k178bs4zybvyebq2gnym4jazch86np03",{"reviewCount":8},{"description":1156,"installMethods":1157,"name":1159,"sourceUrl":1160},"Run metric-driven iterative optimization loops -- define a measurable goal, run parallel experiments, measure each against hard gates or LLM-as-judge scores, keep improvements, and converge on the best solution. Use when optimizing clustering quality, search relevance, build performance, prompt quality, or any measurable outcome that benefits from systematic experimentation.",{"claudeCode":1158},"EveryInc/compound-engineering-plugin","CE Optimize","https://github.com/EveryInc/compound-engineering-plugin",{"basePath":1162,"githubOwner":1163,"githubRepo":1164,"locale":18,"slug":1165,"type":249},"plugins/compound-engineering/skills/ce-optimize","EveryInc","compound-engineering-plugin","ce-optimize",{"evaluate":1167,"extract":1171},{"promptVersionExtension":207,"promptVersionScoring":208,"score":1022,"tags":1168,"targetMarket":218,"tier":219},[1141,1169,1170,1025,216],"experimentation","mlops",{"commitSha":281,"license":240},{"parentExtensionId":1173,"repoId":1174},"k17d893df4em0e3pn8f55h1dxn86n09e","kd7e40my1b5g70tg0f60qg85ch86nn08",[1025,1169,1170,1141,216],{"evaluatedAt":1177,"extractAt":1178,"updatedAt":1177},1778687141592,1778686640222]