Social Listening Brief
SkillWeb & browsingLets your agent research what people say about a brand or topic on social media and produce a cited report with themes and actions.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Social Listening Brief skill
About this capability
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
- 2k
- Forks
- 27
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
social-listening-brief- Source
- github.com/scrapecreators/social-media-research-skills