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社交聆听简报

生成关于某个品牌、人物、产品、话题、类别或细分领域在公共社交平台上的讨论报告,包含引用的观点、情绪分析、代表性帖子和建议行动。

社交聆听简报 是什么?

该技能用于生成社交聆听简报,帮助用户从公共社交平台收集并分析关于特定品牌、人物、产品、话题或类别的讨论。它支持 Reddit、TikTok、YouTube、Instagram、LinkedIn 和 Threads 等多个平台的数据搜索。工作流程包括定义话题范围、搜索相关来源、提取关键信息(如链接、日期、互动数据和直接引用)、按主题聚类对话、区分正面、负面、中立和混合情绪,并给出代表性示例和行动建议。最终输出格式化的 Markdown 报告,包含执行摘要、主题表格、值得关注的帖子、风险/机会以及推荐行动。该技能适用于品牌监控、品类研究、产品反馈收集和声誉检查,但需注意其基于公开数据,并非全面的社交监测。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/social-listening-brief

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

社交聆听简报 是做什么的?

概述

研究人们在社交平台上公开讨论的内容。这对于品牌监控、品类研究、产品反馈、声誉检查以及了解近期对话非常有用。

何时使用

当用户提出以下问题时使用此技能:

  • 人们在说关于 X 的什么?
  • 监控这个品牌/话题/品类
  • 查找关于某个产品的投诉或赞扬
  • 总结近期的社交讨论
  • 比较 Reddit、TikTok、YouTube、LinkedIn、Instagram 或 Threads 上的情绪

有用的来源

  • Reddit 搜索、子版块搜索、帖子、评论
  • TikTok 搜索热点/关键词/标签及评论
  • YouTube 搜索、转录、评论
  • Instagram Reels 搜索及标签搜索
  • LinkedIn 帖子搜索
  • Threads 搜索
  • 当平台搜索不足时使用 Google 搜索

工作流程

  1. 定义话题、别名、竞争对手名称和日期范围。
  2. 搜索多个相关来源,而非盲目搜索所有来源。
  3. 保留 URL、日期、平台、互动数据和直接引用。
  4. 将对话聚类为主题。
  5. 区分正面、负面、中立和混合信号。
  6. 突出代表性示例和行动项。

输出格式

# 社交聆听简报:{话题}

## 执行摘要
- 主要结论:
- 对话量:低/中/高
- 情绪:正面/中立/负面/混合
- 置信度:高/中/低

## 主要主题
| 主题 | 情绪 | 证据 | 代表性引用/来源 |
|---|---|---|---|

## 值得关注的帖子
- [来源](url) — 为什么重要

## 风险 / 机会
- ...

## 推荐行动
1. ...

常见陷阱

  • 不要将其假装为全面的社交监测。这仅是公开数据研究。
  • 不要在没有说明的情况下,在差异很大的社区之间平均情绪。
  • 不要将互动量作为真实性的代理指标。

Individual skills in this repo

This repo contains 12 individual skills — each has its own dedicated page.

ad-library-teardown

Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor

audience-research

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

comment-mining

Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.

competitor-social-research

Use when the user wants to research competitors

content-repurposing

Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.

creator-profile-teardown

Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.

influencer-prospecting

Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.

outlier-post-finder

Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.

product-demand-research

Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.

scrapecreators-api

>-

transcript-intelligence

Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.

trend-discovery

Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.

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