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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.

Was ist social-listening-brief?

social-listening-brief is a Claude Code agent skill that 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.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/social-listening-brief

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Dokumentation

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.

Individual skills in this repo

This repo contains 12 individual skills — each has its own dedicated page.

ad-library-teardown

Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor

audience-research

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

comment-mining

Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.

competitor-social-research

Use when the user wants to research competitors

content-repurposing

Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.

creator-profile-teardown

Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.

influencer-prospecting

Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.

outlier-post-finder

Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.

product-demand-research

Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.

scrapecreators-api

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transcript-intelligence

Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.

trend-discovery

Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.

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