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social-listening-brief

Research
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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.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/ScrapeCreators/social-media-research-skills/blob/HEAD/skills/social-listening-brief/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/social-listening-brief/. Do not write files or run scripts until I approve.

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

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

# 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.