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social-listening-brief

social-listening-brief

github.com/scrapecreatorsMarketing & growth5.0k1.3k installsUpdated 9w ago
Repository

About social-listening-brief

social-listening-brief is a research skill for summarizing public conversations across social platforms. It helps brand, product, and category researchers compare recent discussion, sentiment, and representative examples without treating the research as exhaustive monitoring.

Key features

  1. 01Search relevant social sources
  2. 02Track dates, URLs, and engagement metrics
  3. 03Group conversations into themes
  4. 04Separate positive, negative, and mixed signals
  5. 05Provide representative examples and actions

Use cases

  1. 01Review recent discussion of a brand
  2. 02Find product praise and complaints
  3. 03Compare topic sentiment across platforms
  4. 04Research a category or reputation issue

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/scrapecreators/social-media-research-skills --skill social-listening-brief

After installing, type/social-listening-briefin Claude Code to confirm it loaded.

Details

From the project README

Social Listening Brief

Overview

Research what people are saying publicly across social platforms. This is useful for brand monitoring, category research, product feedback, reputation checks, and understanding recent conversations.

When to Use

Use this skill when the user asks:

  • what are people saying about X?
  • monitor this brand/topic/category
  • find complaints or praise about a product
  • summarize recent social discussion
  • compare sentiment across Reddit, TikTok, YouTube, LinkedIn, Instagram, or Threads

Useful Sources

  • Reddit search, subreddit search, posts, comments
  • TikTok search top/keyword/hashtag and comments
  • YouTube search, transcripts, comments
  • Instagram reels search and hashtag search
  • LinkedIn post search
  • Threads search
  • Google search when platform search is not enough

Workflow

  1. Define topic, aliases, competitor names, and date window.
  2. Search multiple relevant sources, not every source blindly.
  3. Keep URLs, dates, platform, engagement metrics, and exact quotes.
  4. Cluster conversations into themes.
  5. Separate positive, negative, neutral, and mixed signals.
  6. Highlight representative examples and action items.

Output Format

# Social Listening Brief: {topic}

## Executive Summary
- Main takeaway:
- Conversation volume: Low/Medium/High
- Sentiment: Positive/Neutral/Negative/Mixed
- Confidence: High/Medium/Low

## Top Themes
| Theme | Sentiment | Evidence | Representative quote/source |
|---|---|---|---|

## Notable Posts
- [source](url) — why it matters

## Risks / Opportunities
- ...

## Recommended Actions
1. ...

Common Pitfalls

  • Do not pretend this is exhaustive social monitoring. It is public-data research.
  • Do not average sentiment across very different communities without caveats.
  • Do not use engagement as a proxy for truth.

Comments

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