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Social Listening Brief Agent Skill

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.

645 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1780
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/ScrapeCreators/social-media-research-skills --skill social-listening-brief

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting
WebFetch fetches pages from the network

The instruction itself

7 sections, as written by the author

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

  • Define topic, aliases, competitor names, and date window.
  • Search multiple relevant sources, not every source blindly.
  • Keep URLs, dates, platform, engagement metrics, and exact quotes.
  • Cluster conversations into themes.
  • Separate positive, negative, neutral, and mixed signals.
  • 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.

How to use it

Copy the folder

Take scrapecreators/social-listening-brief from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.