social-listening-brief

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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.

AI & Automation 2,247 stars 25 forks Updated 2 weeks ago MIT

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Skill Content

# 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 | |---|---|---|---| ## N...

Details

Author
ScrapeCreators
Repository
ScrapeCreators/social-media-research-skills
Created
3 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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