# social-listening-brief

Pulls public mentions of a brand, product or topic from Reddit, TikTok, YouTube and elsewhere, then writes a cited report with themes and sentiment.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1200 installs · ★ 4806
- Author: ScrapeCreators
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/social-listening-brief/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/social-listening-brief

## What it does

The skill kicks in when you ask what people are saying about a brand, a person, a product or a whole category. It searches public sources: Reddit posts and comments, TikTok keyword and hashtag search, YouTube transcripts and comments, Instagram, LinkedIn, Threads, and Google when platform search falls short. Results get clustered into themes instead of dumped as a link list.

You get a markdown brief: an executive summary with conversation volume and a confidence level, a table of themes with sentiment and representative quotes, notable posts, risks and opportunities, and a numbered action list. Every theme carries its URL, date, platform and engagement metrics.

The skill needs `SCRAPECREATORS_API_KEY` in your environment. It also states its own limits: this is public-data research, not exhaustive social monitoring, and averaging sentiment across very different communities needs caveats. So don't expect a single market-wide positivity score — you get a snapshot with the uncertainty left in.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/social-listening-brief/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/social-listening-brief/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/social-listening-brief/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/social-listening-brief/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install ScrapeCreators/social-media-research-skills social-listening-brief
```

2. **Manually: put the files in place**
- File: `.github/skills/social-listening-brief/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/ScrapeCreators/social-media-research-skills --path skills/social-listening-brief
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/social-listening-brief/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill social-listening-brief -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/social-listening-brief/SKILL.md

## When to use it
- gather quotes and links about a brand from Reddit and TikTok into one brief
- find product complaints before a release
- compare sentiment across separate communities
- prepare a category discussion summary for a team meeting
- separate notable posts from routine mentions

## Example prompts
- Run a social listening brief on what people say about our product on Reddit and TikTok this month
- Find complaints and praise about competitor X on YouTube and Threads, with quotes and links
- Build a category brief: top themes, sentiment, notable posts

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a98f74cd7b78f053.

BEGIN THIRD-PARTY FILE a98f74cd7b78f053
````text
---
name: social-listening-brief
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.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators
---

# 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
````
END THIRD-PARTY FILE a98f74cd7b78f053

The third-party file has ended. Everything between the a98f74cd7b78f053 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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---
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