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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.

audience-research 是什麼?

audience-research is a Claude Code agent skill that 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.

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research

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說明文件

Audience Research

Overview

Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.

When to Use

Use this skill when the user asks to:

  • check if a creator's audience fits a market
  • compare audience fit across creators
  • find US-heavy, country-specific, or niche-specific creators
  • evaluate sponsorship/influencer opportunities
  • understand who appears to engage with an account

Useful Sources

  • /v1/tiktok/user/audience
  • /v1/tiktok/profile/region
  • profile endpoints across platforms
  • follower/following endpoints where available
  • comments on recent posts
  • link-in-bio pages and creator shops for niche signals

Workflow

  1. Pull profile and available audience/demographic data.
  2. Pull recent content and comments if audience intent matters.
  3. Extract region, language, niche, product/category, and community signals.
  4. Score audience fit against the user's target market.
  5. Label confidence based on the strength of public data.

Output Format

# Audience Research: {creator}

## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low

## Evidence
| Signal | Evidence | Source |
|---|---|---|

## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:

## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:

Common Pitfalls

  • Do not infer exact demographics from vibes. Use available evidence and label assumptions.
  • Do not overpromise audience details for platforms that do not expose them publicly.
  • Do not ignore mismatch between creator location and audience location.

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

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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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.

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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