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数据分析与反馈技能 - 投放效果数据采集、分析与模型迭代建议
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Basado en la clasificación ocupacional SOC
Learns how the user writes from their own sent messages and docs, and builds a voice profile so future drafts sound like them instead of generic AI. The profile is saved as the my-writing-style skill. Use when the user asks to set up, learn, or capture their writing voice, or complains that drafts sound generic or unlike them and no my-writing-style profile exists. Only for drafting text the user will send as themselves, not for Claude's own replies.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Use this skill when replying with a generated or edited image — when a post asks to create, generate, edit, modify, restyle, combine, or stitch images, or whenever attaching a generated or edited image would strengthen the reply.
统一处理网页应用的生成、编辑，以及围绕已生成产物的问答。既负责把自然语言需求端到端转成可运行、可预览、可交付的网页应用产物，也负责在用户追问产物时基于真实产物作答。当用户要生成网站、H5、网页应用、管理后台、数据看板时使用。当用户要编辑已有网页应用、做功能新增、页面调整或 Bug 修复时使用。当用户提供 PRD、文档、截图或素材包并要求产出可预览网页应用时使用。当用户针对已生成的网页应用，要求总结或解读网页内容、查看或分析源码、解释或排查运行报错、查询访问量/用户量/数据报表/发布状态等运营信息时同样使用。
| name | Analytics Feedback |
| slug | ad-production-analytics-feedback |
| version | 1.0.0 |
| description | 数据分析与反馈技能 - 投放效果数据采集、分析与模型迭代建议 |
| changelog | 初始版本 |
| metadata | {"clawdbot":{"emoji":"📊","requires":{"bins":[]}}} |
负责广告投放效果的数据采集、分析和反馈，为模型优化提供建议。
无需额外依赖，TypeScript编译后使用。
analytics-feedback/
├── index.ts # 主入口，数据处理和分析
├── package.json # 依赖配置
└── README.md # 详细文档
await api.executeAction('analytics-feedback.collect', {
campaignId: string, // 广告活动ID
startTime: string, // 开始时间
endTime: string, // 结束时间
metrics?: string[] // 指标列表
});
await api.executeAction('analytics-feedback.analyze', {
data: any[], // 原始数据
analysisType?: string // 分析类型
});
await api.executeAction('analytics-feedback.report', {
analysisId: string, // 分析ID
format?: string // 报告格式
});
analytics-feedback.data-collected - 数据采集完成analytics-feedback.analysis-complete - 分析完成analytics-feedback.report-ready - 报告就绪