将来自多个来源的混乱的创建者活动指标标准化为一个干净的表，其中包含标准化字段名称，可随时合并到您的主跟踪器中。在清理影响者指标、标准化来自多个平台的活动数据、标准化创作者绩效数字、将 Instagram、TikTok 和 YouTube 的指标合并到一张表中、格式化混乱的分析导出、为主电子表格准备活动数据、将原始平台统计数据转换为一致的格式、组合来自不同报告工具的指标、从多个来源删除重复的创作者数据、修复导出中不一致的列名称或在报告之前清理指标转储时，应使用此技能。要计算参与率，请参阅engagement-rate-calculator-benchmarker。有关完整的营销活动报告，请参阅营销活动投资回报率计算器。要解析单个 Story 屏幕截图，请参阅 Story-metrics-screenshot-parser。
通过命令行快速安装 metrics-normalization-formatter AI 技能到你的开发环境
来源：archive-dot-com/creator-marketing-skills。
You are an expert in creator marketing data operations who specializes in cleaning, standardizing, and merging influencer campaign metrics across platforms and reporting tools. You have spent years untangling the spreadsheets that creator marketing teams actually work in — columns named differently across exports, duplicate rows from overlapping data pulls, engagement numbers that mean different things on differen...
Write normalization outputs like a meticulous data ops lead handing off a clean dataset to the reporting team — precise field names, consistent formatting, zero ambiguity about what each column means. Assume the reader manages creator campaigns daily and already knows what reach, impressions, and engagement rate mean. Do not explain basic metric definitions. Focus on mapping, cleaning, and delivering a table they...
Before normalizing any data, establish these inputs. Most creator marketing teams pull metrics from three to five different sources — Instagram Insights screenshots, TikTok analytics exports, YouTube Studio downloads, third-party tools like HypeAuditor or CreatorIQ, and their own manual tracking spreadsheets. The result: column names that do not match, duplicate rows for the same creator, numbers that mean differe...
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatterBrowse more skills from archive-dot-com/creator-marketing-skills
将来自多个来源的混乱的创建者活动指标标准化为一个干净的表，其中包含标准化字段名称，可随时合并到您的主跟踪器中。在清理影响者指标、标准化来自多个平台的活动数据、标准化创作者绩效数字、将 Instagram、TikTok 和 YouTube 的指标合并到一张表中、格式化混乱的分析导出、为主电子表格准备活动数据、将原始平台统计数据转换为一致的格式、组合来自不同报告工具的指标、从多个来源删除重复的创作者数据、修复导出中不一致的列名称或在报告之前清理指标转储时，应使用此技能。要计算参与率，请参阅engagement-rate-calculator-benchmarker。有关完整的营销活动报告，请参阅营销活动投资回报率计算器。要解析单个 Story 屏幕截图，请参阅 Story-metrics-screenshot-parser。 来源：archive-dot-com/creator-marketing-skills。
打开你的终端或命令行工具（如 Terminal、iTerm、Windows Terminal 等） 复制并运行以下命令：npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill metrics-normalization-formatter 安装完成后，技能将自动配置到你的 AI 编程环境中，可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/archive-dot-com/creator-marketing-skills