scrapecreators/social-media-research-skills

social-listening-brief

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.

Trending #6267 First seen Jun 23, 2026

Installation

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

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
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OpenCode Not declared

Repository health

Stars 2.2K
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
Allowed toolsBash, Read, Write, WebFetch
Declared agents clawdbot
More metadata
openclaw
{"requires":{"env":["SCRAPECREATORS_API_KEY"]},"primaryEnv":"SCRAPECREATORS_API_KEY","homepage":"https:\/\/scrapecreators.com","tags":["social-media","research","scrapecreators"]}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,583 B
  • docs SUMMARY.md 277 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 526 installs

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

  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.