# Social Listening Brief

Use when the user wants a social listening report about what people are saying about a...

- Repository: https://github.com/ScrapeCreators/social-media-research-skills (5252 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-08-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -g -a claude-code -y`
Codex: `npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -g -a codex -y`
Cursor: `npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -g -a cursor -y`
Gemini CLI: `npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ScrapeCreators/social-media-research-skills`

## Description

Use when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

```markdown
# 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.