What is the 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. What sets it apart is how it narrows social content into one specific workflow rather than a broad, generic prompt.

What inputs does Social listening brief need?

Context for social content: your goals, audience, constraints, and any source material the skill asks for.

What does Social listening brief output?

A ready-to-use result for social content: the analysis, copy, or recommendations the agent produces.

Social listening brief

Quick answer

01What is it?: 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. What sets it apart is how it narrows social content into one specific workflow rather than a broad, generic prompt.
02Inputs: Context for social content: your goals, audience, constraints, and any source material the skill asks for.
03Output: A ready-to-use result for social content: the analysis, copy, or recommendations the agent produces.

Add this skill

Paste-ready

Install as a package

Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.

Terminal

$ npx skills add scrapecreators/social-media-research-skills --skill social-listening-brief

Use in Profound

Copy this file into a new Profound Skill. That's it, nothing else to install.

Copy and create in Profound

SKILL.md

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.

Common questions

How do I install Social listening brief in Cursor, Claude Code, or Codex?

Run npx skills add scrapecreators/social-media-research-skills --skill social-listening-brief in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Social listening brief, not every skill in the repository.

Where does Social listening brief come from and what license is it under?

Social listening brief comes from the scrapecreators/social-media-research-skills repository on GitHub. That repository has 1.7K GitHub stars. The skill is published under the MIT license.

Prefer plain text? Read the Social listening brief guide as markdown.