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skill-ugc-discovery

Find user-generated content about a brand or account, including fan posts, reviews, and community discussions. Get a source-linked report that highlights posts worth engaging with, separates negative feedback, and suggests responses.

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发现用户生成内容(UGC)。搜索与创作者品牌/账号相关的粉丝内容、测评、提及和社区讨论, 输出高价值 UGC 列表与互动建议。当用户说"谁提到了我"、"粉丝内容"、"品牌提及"、 "UGC 发现"、"用户口碑"、"测评搜索"、"社区讨论"时触发。

See how to install

Good for

  • Finding posts that mention a brand or account
  • Discovering fan posts worth sharing
  • Reviewing product reviews and community discussions
  • Preparing responses to negative feedback

Files included (2)

  • SKILL.md5.0 KB
  • EASEL-META.md800 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

UGC 内容发现

搜索与创作者品牌/账号相关的用户生成内容,发现粉丝内容、测评、提及和社区讨论,输出可互动的 UGC 列表。

输入

字段必填说明
brand_keywords是品牌名/账号名,可多个(逗号分隔)
platforms否聚焦平台(小红书/B站/微博/知乎/抖音),默认全平台
content_type否reviews / mentions / fan_art / complaints / all(默认 all)
time_range否recent / this_month / this_quarter(默认 recent)

输出

# UGC 内容发现报告

## 发现概览
- 搜索关键词: {keywords}
- 搜索平台: {platforms}
- 发现 UGC 内容: {count} 条
- 正面/中性/负面: {positive}/{neutral}/{negative}

## 高价值 UGC(推荐互动/转发)
| # | 平台 | 内容摘要 | 来源链接 | 互动量估计 | 情感 | 建议动作 |
|---|------|---------|---------|-----------|------|---------|

## 负面反馈(需关注)
| # | 平台 | 内容摘要 | 来源链接 | 严重程度 | 建议回应 |
|---|------|---------|---------|---------|---------|

## 互动建议
- {具体建议: 转发/评论/联动/感谢}

三条发现路径

路径 1 — 平台搜索(主路径)

用 WebSearch 搜索创作者/品牌名相关内容:

搜索关键词组合:

  • "{账号名} 推荐" / "{账号名} 测评" / "{品牌名} 体验"
  • "{账号名} site:xiaohongshu.com" / "site:bilibili.com"
  • "{账号名} 好物" / "{账号名} 同款"

按 platforms 参数聚焦平台,未指定时逐平台搜索。

路径 2 — 话题/标签监控

搜索创作者品牌话题和关联标签:

  • "#{账号名}# site:weibo.com" — 微博话题
  • "#{品牌话题}#" — 跨平台品牌话题
  • "{账号名} 话题" / "{品牌名} 标签"

路径 3 — 社区讨论扫描

搜索论坛、问答社区、讨论帖:

  • "{品牌名} 怎么样" / "{产品名} 好用吗" — 知乎/贴吧
  • "{品牌名} 值得买吗" / "{账号名} 靠谱吗" — 购买决策讨论
  • "{品牌名} 吐槽" / "{品牌名} 避坑" — 负面反馈定向搜索

执行步骤

  1. 确认关键词:从用户输入获取 brand_keywords。若有 Profile,从 identity.md 补充账号名、品牌名、产品名等关键词。
  2. 确定搜索范围:根据 platforms 参数确定目标平台;根据 content_type 调整搜索关键词侧重(reviews 侧重"测评/推荐",complaints 侧重"吐槽/避坑")。
  3. 执行三条路径:
    • 路径 1:对每个平台执行 2-3 组关键词搜索(WebSearch)
    • 路径 2:搜索品牌话题和标签
    • 路径 3:搜索社区讨论
  4. 内容采集:对搜索结果中高相关的链接,用 WebFetch 获取内容摘要和互动数据。
  5. 去重与分类:去除重复结果,按情感倾向分类(正面/中性/负面)。
  6. 情感判断:基于内容文本判断情感倾向,区分事实性提及和评价性内容。
  7. 价值排序:按互动量和内容质量排序,筛选出高价值 UGC(值得互动/转发的内容)。
  8. 负面标注:单独列出负面反馈,按严重程度排序,给出建议回应策略。
  9. 互动建议:针对高价值 UGC 给出具体互动建议(转发并感谢 / 评论区互动 / 联动合作邀约)。
  10. 输出报告:按输出模板生成完整报告,保存到 outputs/。

Profile 感知

有 Profile 时:

  • 读取 identity.md 获取账号名、品牌名、产品线关键词,自动扩展搜索关键词
  • 读取 platforms.md 确定活跃平台,优先搜索这些平台
  • 读取 audience.md 判断哪些 UGC 来自目标受众群体(更具互动价值)
  • 读取 style.md 匹配互动建议的语气和方式

无 Profile 时:

  • 用户必须提供 brand_keywords,否则提示用户补充
  • 全平台搜索,不做平台优先级排序
  • 互动建议给出通用策略
  • 附注"提供 Profile 可获得更精准的 UGC 发现和互动建议"

规则

  1. 区分事实与分析 — 搜索到的内容是事实,情感判断是分析,两者分开标注
  2. 必须附来源链接 — 每条发现的 UGC 必须附上来源 URL
  3. 不编造 UGC — 搜索无结果时如实报告"未发现相关 UGC",不捏造内容
  4. 优先可操作内容 — 排序时优先展示高互动量、值得回应的 UGC
  5. 负面内容不回避 — 负面反馈单独列出,给出建设性的回应建议
  6. 标注数据局限 — WebSearch 结果有时效和覆盖限制,明确标注搜索范围和局限性

自研溯源与参考项目见同目录 EASEL-META.md。

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