audience-research
installsforks
How to install audience-research?
scrapecreators/social-media-research-skills/audience-research
$npx -y skills add ScrapeCreators/social-media-research-skills --skill audience-researchUse 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.
SKILL.md
| 1 | # Audience Research |
| 2 | |
| 3 | ## Overview |
| 4 | |
| 5 | 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. |
| 6 | |
| 7 | ## When to Use |
| 8 | |
| 9 | Use this skill when the user asks to: |
| 10 | |
| 11 | - check if a creator's audience fits a market |
| 12 | - compare audience fit across creators |
| 13 | - find US-heavy, country-specific, or niche-specific creators |
| 14 | - evaluate sponsorship/influencer opportunities |
| 15 | - understand who appears to engage with an account |
| 16 | |
| 17 | ## Useful Sources |
| 18 | |
| 19 | - `/v1/tiktok/user/audience` |
| 20 | - `/v1/tiktok/profile/region` |
| 21 | - profile endpoints across platforms |
| 22 | - follower/following endpoints where available |
| 23 | - comments on recent posts |
| 24 | - link-in-bio pages and creator shops for niche signals |
| 25 | |
| 26 | ## Workflow |
| 27 | |
| 28 | 1. Pull profile and available audience/demographic data. |
| 29 | 2. Pull recent content and comments if audience intent matters. |
| 30 | 3. Extract region, language, niche, product/category, and community signals. |
| 31 | 4. Score audience fit against the user's target market. |
| 32 | 5. Label confidence based on the strength of public data. |
| 33 | |
| 34 | ## Output Format |
| 35 | |
| 36 | ```markdown |
| 37 | # Audience Research: {creator} |
| 38 | |
| 39 | ## Fit Summary |
| 40 | - Target market: |
| 41 | - Fit score: High/Medium/Low |
| 42 | - Confidence: High/Medium/Low |
| 43 | |
| 44 | ## Evidence |
| 45 | | Signal | Evidence | Source | |
| 46 | |---|---|---| |
| 47 | |
| 48 | ## Audience Notes |
| 49 | - Geography: |
| 50 | - Language: |
| 51 | - Niche/content fit: |
| 52 | - Comment quality: |
| 53 | |
| 54 | ## Sponsorship Recommendation |
| 55 | - Good fit / Maybe / Poor fit |
| 56 | - Why: |
| 57 | ``` |
| 58 | |
| 59 | ## Common Pitfalls |
| 60 | |
| 61 | - Do not infer exact demographics from vibes. Use available evidence and label assumptions. |
| 62 | - Do not overpromise audience details for platforms that do not expose them publicly. |
| 63 | - Do not ignore mismatch between creator location and audience location. |
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