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…
Skill by ScrapeCreators
Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/scrapecreators-social-listening-brief
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, design
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/social-listening-brief
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write,WebFetch
What's inside
- Skill name
social-listening-brief- Description
- 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.
- License
- MIT
- Allowed tools
- Bash,, Read,, Write,, WebFetch
- Instructions
- 67 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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
```markdown
# 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.From ScrapeCreators/social-media-research-skills, MIT.
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Signals
- Stars
- 4,674
- Forks
- 92
- Open issues
- 4
- Last commit (this folder)
- Jun 6, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- scrapecreators.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
social-listening-brief skill. Agent Mart. https://agentmart.dev/skills/scrapecreators-social-listening-brief (last updated 2026-10-24)