Social Listening Brief

SkillWeb & browsing

Lets your agent research what people are saying about a brand or topic across social platforms and write a cited report.

Connect your AI Use it in a pipeline

Then ask your AI: use the Social Listening Brief skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this 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.

What this skill tells your AI

The instructions your AI receives, as published by scrapecreators/social-media-research-skills in skills/social-listening-brief/SKILL.md and read by Ahel’s review.

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.

Signals

GitHub stars: 3k
Forks: 48
Last commit: Aug 2026

Advanced

Item type: skill
Key: social-listening-brief-scrapecreators
Source: github.com/scrapecreators/social-media-research-skills

github.com/scrapecreators/social-media-research-skills