Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/scrapecreators/social-media-research-skills --skill social-listening-briefPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
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
- Define topic, aliases, competitor names, and date window.
- Search multiple relevant sources, not every source blindly.
- Keep URLs, dates, platform, engagement metrics, and exact quotes.
- Cluster conversations into themes.
- Separate positive, negative, neutral, and mixed signals.
- 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.
