social-listening-brief
installsforks
How to install social-listening-brief?
scrapecreators/social-media-research-skills/social-listening-brief
$npx -y skills add ScrapeCreators/social-media-research-skills --skill social-listening-briefUse 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.
SKILL.md
| 1 | # Social Listening Brief |
| 2 | |
| 3 | ## Overview |
| 4 | |
| 5 | 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. |
| 6 | |
| 7 | ## When to Use |
| 8 | |
| 9 | Use this skill when the user asks: |
| 10 | |
| 11 | - what are people saying about X? |
| 12 | - monitor this brand/topic/category |
| 13 | - find complaints or praise about a product |
| 14 | - summarize recent social discussion |
| 15 | - compare sentiment across Reddit, TikTok, YouTube, LinkedIn, Instagram, or Threads |
| 16 | |
| 17 | ## Useful Sources |
| 18 | |
| 19 | - Reddit search, subreddit search, posts, comments |
| 20 | - TikTok search top/keyword/hashtag and comments |
| 21 | - YouTube search, transcripts, comments |
| 22 | - Instagram reels search and hashtag search |
| 23 | - LinkedIn post search |
| 24 | - Threads search |
| 25 | - Google search when platform search is not enough |
| 26 | |
| 27 | ## Workflow |
| 28 | |
| 29 | 1. Define topic, aliases, competitor names, and date window. |
| 30 | 2. Search multiple relevant sources, not every source blindly. |
| 31 | 3. Keep URLs, dates, platform, engagement metrics, and exact quotes. |
| 32 | 4. Cluster conversations into themes. |
| 33 | 5. Separate positive, negative, neutral, and mixed signals. |
| 34 | 6. Highlight representative examples and action items. |
| 35 | |
| 36 | ## Output Format |
| 37 | |
| 38 | ```markdown |
| 39 | # Social Listening Brief: {topic} |
| 40 | |
| 41 | ## Executive Summary |
| 42 | - Main takeaway: |
| 43 | - Conversation volume: Low/Medium/High |
| 44 | - Sentiment: Positive/Neutral/Negative/Mixed |
| 45 | - Confidence: High/Medium/Low |
| 46 | |
| 47 | ## Top Themes |
| 48 | | Theme | Sentiment | Evidence | Representative quote/source | |
| 49 | |---|---|---|---| |
| 50 | |
| 51 | ## Notable Posts |
| 52 | - [source](url) — why it matters |
| 53 | |
| 54 | ## Risks / Opportunities |
| 55 | - ... |
| 56 | |
| 57 | ## Recommended Actions |
| 58 | 1. ... |
| 59 | ``` |
| 60 | |
| 61 | ## Common Pitfalls |
| 62 | |
| 63 | - Do not pretend this is exhaustive social monitoring. It is public-data research. |
| 64 | - Do not average sentiment across very different communities without caveats. |
| 65 | - Do not use engagement as a proxy for truth. |
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